| Year |
Citation |
Score |
| 2020 |
Pérez-Gutiérrez JD, Paz JO, Tagert MLM, Yasarer LMW, Bingner RL. Using AnnAGNPS to Simulate Runoff, Nutrient, and Sediment Loads in an Agricultural Catchment with an On-Farm Water Storage System Climate. 8: 133. DOI: 10.3390/cli8110133 |
0.323 |
|
| 2020 |
Pérez-Gutiérrez JD, Paz JO, Tagert MLM, Sepehrifar M. Impact of rainfall characteristics on the NO3 – N concentration in a tailwater recovery ditch Agricultural Water Management. 233: 106079. DOI: 10.1016/J.Agwat.2020.106079 |
0.361 |
|
| 2019 |
Guzman SM, Paz JO, Tagert MLM, Mercer AE. Evaluation of Seasonally Classified Inputs for the Prediction of Daily Groundwater Levels: NARX Networks Vs Support Vector Machines Environmental Modeling & Assessment. 24: 223-234. DOI: 10.1007/S10666-018-9639-X |
0.468 |
|
| 2018 |
Amin A, Nasim W, Fahad S, Ali S, Ahmad S, Rasool A, Saleem N, Hammad HM, Sultana SR, Mubeen M, Bakhat HF, Ahmad N, Shah GM, Adnan M, Noor M, ... ... Paz JO, et al. Evaluation and analysis of temperature for historical (1996-2015) and projected (2030-2060) climates in Pakistan using SimCLIM climate model: ensemble application Atmospheric Research. 213: 422-436. DOI: 10.1016/J.Atmosres.2018.06.021 |
0.338 |
|
| 2018 |
Guzmán SM, Paz JO, Tagert MLM, Mercer AE, Pote JW. An integrated SVR and crop model to estimate the impacts of irrigation on daily groundwater levels Agricultural Systems. 159: 248-259. DOI: 10.1016/J.Agsy.2017.01.017 |
0.535 |
|
| 2018 |
Karki R, Tagert MLM, Paz JO. Evaluating the nutrient reduction and water supply benefits of an on-farm water storage (OFWS) system in East Mississippi Agriculture, Ecosystems & Environment. 265: 476-487. DOI: 10.1016/J.Agee.2018.06.024 |
0.397 |
|
| 2017 |
Kisekka I, DeJonge KC, Ma L, Paz J, Douglas-Mankin KR. Crop Modeling Applications in Agricultural Water Management Transactions of the Asabe. 60: 1959-1964. DOI: 10.13031/Trans.12693 |
0.457 |
|
| 2017 |
Karki R, Tagert MLM, Paz JO, Bingner RL. Application of AnnAGNPS to model an agricultural watershed in East-Central Mississippi for the evaluation of an on-farm water storage (OFWS) system Agricultural Water Management. 192: 103-114. DOI: 10.1016/J.Agwat.2017.07.002 |
0.415 |
|
| 2017 |
Pérez-Gutiérrez JD, Paz JO, Tagert MLM. Seasonal water quality changes in on-farm water storage systems in a south-central U.S. agricultural watershed Agricultural Water Management. 187: 131-139. DOI: 10.1016/J.Agwat.2017.03.014 |
0.369 |
|
| 2017 |
Ouyang Y, Paz JO, Feng G, Read JJ, Adeli A, Jenkins JN. A model to estimate hydrological processes and water budget in an irrigation farm pond Water Resources Management. 31: 2225-2241. DOI: 10.1007/S11269-017-1639-0 |
0.411 |
|
| 2017 |
Guzman SM, Paz JO, Tagert MLM. The Use of NARX Neural Networks to Forecast Daily Groundwater Levels Water Resources Management. 31: 1591-1603. DOI: 10.1007/S11269-017-1598-5 |
0.369 |
|
| 2015 |
Woli P, Paz J. Crop management effects on the energy and carbon balances of Maize Stover-Based ethanol production Energies. 8: 278-303. DOI: 10.3390/En8010278 |
0.43 |
|
| 2015 |
Bao Y, Hoogenboom G, McClendon RW, Paz JO. Potential adaptation strategies for rainfed soybean production in the south-eastern USA under climate change based on the CSM-CROPGRO-Soybean model Journal of Agricultural Science. 153: 798-824. DOI: 10.1017/S0021859614001129 |
0.458 |
|
| 2015 |
Guzman SM, Paz JO, Tagert MLM, Mercer A. Artificial neural networks and support vector machines: Contrast study for groundwater level prediction American Society of Agricultural and Biological Engineers Annual International Meeting 2015. 2: 998-1008. |
0.349 |
|
| 2014 |
Carruth GW, Paz JO, Tagert ML, Guzman SM, Oldham JL. Reusing irrigation water from tailwater recovery systems: Implications on field and stream-level nutrient status American Society of Agricultural and Biological Engineers Annual International Meeting 2014, Asabe 2014. 7: 4905-4916. |
0.303 |
|
| 2014 |
Thorp KR, Ale S, Bange MP, Barnes EM, Hoogenboom G, Lascano RJ, McCarthy AC, Nair S, Paz JO, Rajan N, Reddy KR, Wall GW, White JW. Development and application of process-based simulation models for cotton production: A review of past, present, and future directions Journal of Cotton Science. 18: 10-47. |
0.408 |
|
| 2013 |
Radhakrishnan S, Paz JO, Yu F, Eksioglu S, Grebner DL. Assessment of potential capacity increases at combined heat and power facilities based on available corn stover and forest logging residues Energies. 6: 4418-4428. DOI: 10.3390/En6094418 |
0.327 |
|
| 2013 |
Woli P, Jones J, Ingram K, Paz J. Forecasting drought using the agricultural reference index for drought (ARID): A case study Weather and Forecasting. 28: 427-443. DOI: 10.1175/Waf-D-12-00036.1 |
0.556 |
|
| 2013 |
Woli P, Paz JO, Hoogenboom G, Garcia y Garcia A, Fraisse CW. The ENSO effect on peanut yield as influenced by planting date and soil type Agricultural Systems. 121: 1-8. DOI: 10.1016/J.Agsy.2013.06.005 |
0.465 |
|
| 2012 |
Olatinwo RO, Prabha TV, Paz JO, Hoogenboom G. Predicting favorable conditions for early leaf spot of peanut using output from the Weather Research and Forecasting (WRF) model. International Journal of Biometeorology. 56: 259-68. PMID 21494900 DOI: 10.1007/S00484-011-0425-6 |
0.419 |
|
| 2012 |
Woli P, Paz JO, Lang DJ, Baldwin BS, Kiniry JR. Soil and Variety Effects on the Energy and Carbon Balances of Switchgrass-Derived Ethanol Journal of Sustainable Bioenergy Systems. 2: 65-74. DOI: 10.4236/Jsbs.2012.24010 |
0.44 |
|
| 2012 |
Woli P, Paz JO. Evaluation of various methods for estimating global solar radiation in the southeastern United States Journal of Applied Meteorology and Climatology. 51: 972-985. DOI: 10.1175/Jamc-D-11-0141.1 |
0.428 |
|
| 2012 |
Salazar MR, Hook JE, Garcia y Garcia A, Paz JO, Chaves B, Hoogenboom G. Estimating irrigation water use for maize in the Southeastern USA: A modeling approach Agricultural Water Management. 107: 104-111. DOI: 10.1016/J.Agwat.2012.01.015 |
0.473 |
|
| 2012 |
Paz JO, Woli P, Garcia y Garcia A, Hoogenboom G. Cotton yields as influenced by ENSO at different planting dates and spatial aggregation levels Agricultural Systems. 111: 45-52. DOI: 10.1016/J.Agsy.2012.05.004 |
0.414 |
|
| 2012 |
Woli P, Paz JO, Baldwin BS, Lang DJ, Kiniry JR. Soil and variety effects on energy use and carbon emissions associated with switchgrass-based ethanol production in Mississippi American Society of Agricultural and Biological Engineers Annual International Meeting 2012, Asabe 2012. 4: 2853-2874. |
0.325 |
|
| 2011 |
Olatinwo RO, Prabha T, Paz JO, Riley DG, Hoogenboom G. The Weather Research and Forecasting (WRF) model: Application in prediction of TSWV-vectors populations Journal of Applied Entomology. 135: 81-90. DOI: 10.1111/J.1439-0418.2010.01539.X |
0.439 |
|
| 2010 |
Panda SS, Hoogenboom G, Paz JO. Remote sensing and geospatial technological applications for site-specific management of fruit and nut crops: A review Remote Sensing. 2: 1973-1997. DOI: 10.3390/Rs2081973 |
0.451 |
|
| 2010 |
Crane TA, Roncoli C, Paz J, Breuer N, Broad K, Ingram KT, Hoogenboom G. Erratum: Forecast skill and farmers' skills: Seasonal climate forecasts and agricultural risk management in the southeastern United States. (Weather, Climate, and Society (2010) 2 (44-59)) Weather, Climate, and Society. 2. DOI: 10.1175/2010Wcas1075.1 |
0.359 |
|
| 2010 |
Crane TA, Roncoli C, Paz J, Breuer N, Broad K, Ingram KT, Hoogenboom G. Forecast skill and farmers' skills: Seasonal climate forecasts and agricultural risk management in the southeastern United States Weather, Climate, and Society. 2: 44-59. DOI: 10.1175/2009Wcas1006.1 |
0.399 |
|
| 2010 |
Persson T, Garcia AGY, Paz JO, Fraisse CW, Hoogenboom G. Reduction in greenhouse gas emissions due to the use of bio-ethanol from wheat grain and straw produced in the south-eastern USA Journal of Agricultural Science. 148: 511-527. DOI: 10.1017/S0021859610000316 |
0.363 |
|
| 2010 |
Persson T, Garcia y Garcia A, Paz JO, Ortiz BV, Hoogenboom G. Simulating the production potential and net energy yield of maize-ethanol in the southeastern USA European Journal of Agronomy. 32: 272-279. DOI: 10.1016/J.Eja.2010.01.004 |
0.352 |
|
| 2010 |
Olatinwo RO, Paz JO, Kemerait RC, Culbreath AK, Hoogenboom G. El Niño-Southern Oscillation (ENSO): Impact on tomato spotted wilt intensity in peanut and the implication on yield Crop Protection. 29: 448-453. DOI: 10.1016/J.Cropro.2009.10.014 |
0.414 |
|
| 2010 |
Garcia y Garcia A, Persson T, Paz JO, Fraisse C, Hoogenboom G. ENSO-based climate variability affects water use efficiency of rainfed cotton grown in the southeastern USA Agriculture, Ecosystems and Environment. 139: 629-635. DOI: 10.1016/J.Agee.2010.10.009 |
0.502 |
|
| 2010 |
Parajuli PB, Kingery WL, Tagert ML, Paz JO, Oldham LO. Modeling phosphorus loading to the Ross Barnett Reservoir using SWAT in the Upper Pearl River watershed in east-central Mississippi American Society of Agricultural and Biological Engineers Annual International Meeting 2010, Asabe 2010. 3: 2047-2060. |
0.333 |
|
| 2009 |
Olatinwo RO, Paz JO, Brown SL, Kemerait RC, Culbreath AK, Hoogenboom G. Impact of early spring weather factors on the risk of tomato spotted wilt in peanut Plant Disease. 93: 783-788. DOI: 10.1094/Pdis-93-8-0783 |
0.416 |
|
| 2009 |
Panda SS, Hoogenboom G, Paz J. Distinguishing blueberry bushes from mixed vegetation land use using high resolution satellite imagery and geospatial techniques Computers and Electronics in Agriculture. 67: 51-58. DOI: 10.1016/J.Compag.2009.02.007 |
0.329 |
|
| 2009 |
Persson T, Garcia y Garcia A, Paz JO, Jones JW, Hoogenboom G. Net energy value of maize ethanol as a response to different climate and soil conditions in the southeastern USA Biomass and Bioenergy. 33: 1055-1064. DOI: 10.1016/J.Biombioe.2009.03.007 |
0.51 |
|
| 2009 |
Persson T, Garcia AGy, Paz J, Jones J, Hoogenboom G. Maize ethanol feedstock production and net energy value as affected by climate variability and crop management practices Agricultural Systems. 100: 11-21. DOI: 10.1016/J.Agsy.2008.11.004 |
0.546 |
|
| 2008 |
Olatinwo RO, Paz JO, Brown SL, Kemerait RC, Culbreath AK, Beasley JP, Hoogenboom G. A predictive model for spotted wilt epidemics in peanut based on local weather conditions and the tomato spotted wilt virus risk index. Phytopathology. 98: 1066-74. PMID 18943452 DOI: 10.1094/Phyto-98-10-1066 |
0.411 |
|
| 2008 |
Shank DB, McClendon RW, Paz J, Hoogenboom G. Ensemble Artificial Neural Networks For Prediction Of Dew Point Temperature Applied Artificial Intelligence. 22: 523-542. DOI: 10.1080/08839510802226785 |
0.378 |
|
| 2008 |
Thorp KR, DeJonge KC, Kaleita AL, Batchelor WD, Paz JO. Methodology for the use of DSSAT models for precision agriculture decision support Computers and Electronics in Agriculture. 64: 276-285. DOI: 10.1016/J.Compag.2008.05.022 |
0.706 |
|
| 2007 |
Thorp KR, Batchelor WD, Paz JO, Kaleita AL, DeJonge KC. Using cross-validation to evaluate CERES-maize yield simulations within a decision support system for precision agriculture Transactions of the Asabe. 50: 1467-1479. DOI: 10.13031/2013.23605 |
0.716 |
|
| 2007 |
Paz JO, Fraisse CW, Hatch LU, Garcia y Garcia A, Guerra LC, Uryasev O, Bellow JG, Jones JW, Hoogenboom G. Development of an ENSO-based irrigation decision support tool for peanut production in the southeastern US Computers and Electronics in Agriculture. 55: 28-35. DOI: 10.1016/J.Compag.2006.11.003 |
0.597 |
|
| 2006 |
Miao Y, Mulla DJ, Batchelor WD, Paz JO, Robert PC, Wiebers M. Evaluating management zone optimal nitrogen rates with a crop growth model Agronomy Journal. 98: 545-553. DOI: 10.2134/Agronj2005.0153 |
0.672 |
|
| 2006 |
Garcia Y Garcia A, Hoogenboom G, Guerra LC, Paz JO, Fraisse CW. Analysis of the inter-annual variation of peanut yield in Georgia using a dynamic crop simulation model Transactions of the Asabe. 49: 2005-2015. DOI: 10.13031/2013.22281 |
0.521 |
|
| 2006 |
Irmak A, Jones JW, Batchelor WD, Irmak S, Boote KJ, Paz JO. Artificial neural network model as a data analysis tool in precision farming Transactions of the Asabe. 49: 2027-2037. DOI: 10.13031/2013.22264 |
0.76 |
|
| 2006 |
Irmak A, Jones JW, Batchelor WD, Irmak S, Paz JO, Boote KJ. Analysis of spatial yield variability using a combined crop model-empirical approach Transactions of the Asabe. 49: 811-818. DOI: 10.13031/2013.20464 |
0.778 |
|
| 2006 |
Fraisse CW, Breuer NE, Zierden D, Bellow JG, Paz J, Cabrera VE, Garcia y Garcia A, Ingram KT, Hatch U, Hoogenboom G, Jones JW, O'Brien JJ. AgClimate: A climate forecast information system for agricultural risk management in the southeastern USA Computers and Electronics in Agriculture. 53: 13-27. DOI: 10.1016/J.Compag.2006.03.002 |
0.559 |
|
| 2006 |
Thorp KR, Batchelor WD, Paz JO, Steward BL, Caragea PC. Methodology to link production and environmental risks of precision nitrogen management strategies in corn Agricultural Systems. 89: 272-298. DOI: 10.1016/J.Agsy.2005.09.005 |
0.662 |
|
| 2006 |
Paz JO, Fraisse CW, Hoogenboom G, Hatch LU, Garcia y Garcia A, Guerra LC, Jones JW. Peanut irrigation management using climate-based information Computers in Agriculture and Natural Resources - Proceedings of the 4th World Congress. 660-665. |
0.418 |
|
| 2005 |
Thorp KR, Batchelor WD, Paz JO. Programming ArcGIS to generate crop model input files for spatial simulations 2005 Asae Annual International Meeting. |
0.677 |
|
| 2004 |
Paz JO, Batchelor WD, Pedersen P. WebGro: A web-based soybean management decision support system Agronomy Journal. 96: 1771-1779. DOI: 10.2134/Agronj2004.1771 |
0.663 |
|
| 2004 |
Seidl MS, Batchelor WD, Paz JO. Integrating remotely sensed images with a soybean model to improve spatial yield simulation Transactions of the American Society of Agricultural Engineers. 47: 2081-2090. DOI: 10.13031/2013.17793 |
0.713 |
|
| 2003 |
Paz JO, Batchelor WD, Jones JW. Estimating Potential Economic Return for Variable Soybean Variety Management Transactions of the American Society of Agricultural Engineers. 46: 1225-1233. DOI: 10.13031/2013.13942 |
0.728 |
|
| 2002 |
Irmak A, Jones JW, Batchelor WD, Paz JO. Linking Multiple Layers Of Information For Diagnosing Causes Of Spatial Yield Variability In Soybean Transactions of the Asabe. 45: 839-849. DOI: 10.13031/2013.8837 |
0.775 |
|
| 2002 |
Irmak A, Batchelor WD, Jones JW, Irmak S, Paz JO, Beck HW, Egeh M. Relationship between plant available soil water and yield for explaining soybean yield variability Applied Engineering in Agriculture. 18: 471-482. DOI: 10.13031/2013.8748 |
0.754 |
|
| 2002 |
Fallick JB, Batchelor WD, Tylka GL, Niblack TL, Paz JO. Coupling soybean cyst nematode damage to CROPGRO-Soybean Transactions of the American Society of Agricultural Engineers. 45: 433-441. DOI: 10.13031/2013.8512 |
0.67 |
|
| 2002 |
Paz JO, Batchelor WD, Bullock DG. Technical note: Procedure to use a crop model to identify water-stressed areas in soybean fields using on-farm data Applied Engineering in Agriculture. 18: 643-646. DOI: 10.13031/2013.10150 |
0.724 |
|
| 2002 |
Batchelor WD, Basso B, Paz JO. Examples of strategies to analyze spatial and temporal yield variability using crop models European Journal of Agronomy. 18: 141-158. DOI: 10.1016/S1161-0301(02)00101-6 |
0.721 |
|
| 2002 |
Irmak A, Jones JW, Batchelor WD, Paz JO. Linking multiple layers of information for diagnosing causes of spatial yield variability in soybean Transactions of the American Society of Agricultural Engineers. 45: 839-849. |
0.736 |
|
| 2001 |
Seidl MS, Batchelor WD, Fallick JB, Paz JO. GIS-crop model based decision support system to evaluate corn and Soybean prescriptions Applied Engineering in Agriculture. 17: 721-728. DOI: 10.13031/2013.6904 |
0.706 |
|
| 2001 |
Paz JO, Batchelor WD, Tylka GL. Method to use crop growth models to estimate potential return for variable-rate management in soybeans Transactions of the American Society of Agricultural Engineers. 44: 1335-1341. DOI: 10.13031/2013.6425 |
0.701 |
|
| 2001 |
Irmak A, Jones JW, Batchelor WD, Paz JO. Estimating Spatially Variable Soil Properties For Application Of Crop Models In Precision Farming Transactions of the Asabe. 44: 1343-1353. DOI: 10.13031/2013.6424 |
0.755 |
|
| 2001 |
Paz JO, Batchelor WD, Tylka GL, Hartzler RG. A modeling approach to quantify the effects of spatial soybean yield limiting factors Transactions of the American Society of Agricultural Engineers. 44: 1329-1334. DOI: 10.13031/2013.6423 |
0.745 |
|
| 2001 |
Booltink HWG, Van Alphen BJ, Batchelor WD, Paz JO, Stoorvogel JJ, Vargas R. Tools for optimizing management of spatially-variable fields Agricultural Systems. 70: 445-476. DOI: 10.1016/S0308-521X(01)00055-5 |
0.682 |
|
| 2001 |
Irmak A, Jones JW, Batchelor WD, Paz JO. Estimating spatially variable soil properties for application of crop models in precision farming Transactions of the American Society of Agricultural Engineers. 44: 1343-1353. |
0.706 |
|
| 2000 |
Paz JO, Batchelor WD. What Causes Soybean Yield Variability? 2000 Asae Annual Intenational Meeting, Technical Papers: Engineering Solutions For a New Century. 1: 371-385. |
0.706 |
|
| 2000 |
Seidl MS, Paz JO, Batchelor WD. Integrating Remotely Sensed Images to Improve Spatial Crop Model Calibration 2000 Asae Annual Intenational Meeting, Technical Papers: Engineering Solutions For a New Century. 1: 457-467. |
0.684 |
|
| 2000 |
Paz JO, Batchelor WD, Seidl MS. Using Crop Models to Analyze Consequences of Prescriptions 2000 Asae Annual Intenational Meeting, Technical Papers: Engineering Solutions For a New Century. 1: 571-586. |
0.674 |
|
| 1999 |
Paz JO, Batchelor WD, Babcock BA, Colvin TS, Logsdon SD, Kaspar TC, Karlen DL. Model-based technique to determine variable rate nitrogen for corn Agricultural Systems. 61: 69-75. DOI: 10.1016/S0308-521X(99)00035-9 |
0.74 |
|
| 1998 |
Paz JO, Batchelor WD, Colvin TS, Logsdon SD, Kaspar TC, Karlen DL. Analysis of water stress effects causing spatial yield variability in soybeans Transactions of the American Society of Agricultural Engineers. 41: 1527-1534. DOI: 10.13031/2013.17284 |
0.746 |
|
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