Joel O. Paz

2.9k total citations
93 papers, 2.2k citations indexed

About

Joel O. Paz is a scholar working on Plant Science, Ecology, Evolution, Behavior and Systematics and Agronomy and Crop Science. According to data from OpenAlex, Joel O. Paz has authored 93 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Plant Science, 25 papers in Ecology, Evolution, Behavior and Systematics and 20 papers in Agronomy and Crop Science. Recurrent topics in Joel O. Paz's work include Climate change impacts on agriculture (24 papers), Soybean genetics and cultivation (13 papers) and Irrigation Practices and Water Management (10 papers). Joel O. Paz is often cited by papers focused on Climate change impacts on agriculture (24 papers), Soybean genetics and cultivation (13 papers) and Irrigation Practices and Water Management (10 papers). Joel O. Paz collaborates with scholars based in United States, India and Australia. Joel O. Paz's co-authors include William D. Batchelor, Gerrit Hoogenboom, Mary Love M. Tagert, Sandra M. Guzmán, Bruno Basso, Axel García y García, Kelly R. Thorp, James W. Jones, R. W. McClendon and Prem Woli and has published in prestigious journals such as SHILAP Revista de lepidopterología, Agriculture Ecosystems & Environment and Remote Sensing.

In The Last Decade

Joel O. Paz

90 papers receiving 2.0k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Joel O. Paz United States 27 913 668 542 523 459 93 2.2k
Clyde W. Fraisse United States 27 1.3k 1.4× 630 0.9× 613 1.1× 631 1.2× 609 1.3× 133 2.7k
C.A. van Diepen Netherlands 21 968 1.1× 898 1.3× 458 0.8× 945 1.8× 537 1.2× 60 2.5k
Iwan Supit Netherlands 26 869 1.0× 901 1.3× 268 0.5× 1.0k 1.9× 494 1.1× 64 2.5k
Marco Acutis Italy 32 1.1k 1.2× 675 1.0× 636 1.2× 631 1.2× 983 2.1× 127 3.1k
Hendrik Boogaard Netherlands 23 1.3k 1.4× 1.1k 1.6× 316 0.6× 868 1.7× 508 1.1× 53 2.8k
Wenjiao Shi China 26 766 0.8× 896 1.3× 541 1.0× 1.1k 2.0× 460 1.0× 114 2.6k
Josef Eitzinger Austria 33 1.1k 1.2× 1.1k 1.6× 349 0.6× 1.4k 2.7× 552 1.2× 104 3.2k
André Daccache United States 29 742 0.8× 614 0.9× 457 0.8× 638 1.2× 814 1.8× 71 2.6k
Michele Rinaldi Italy 26 998 1.1× 392 0.6× 616 1.1× 493 0.9× 589 1.3× 99 2.3k
Davide Cammarano United States 28 1.4k 1.5× 732 1.1× 408 0.8× 544 1.0× 524 1.1× 86 2.5k

Countries citing papers authored by Joel O. Paz

Since Specialization
Citations

This map shows the geographic impact of Joel O. Paz's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Joel O. Paz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joel O. Paz more than expected).

Fields of papers citing papers by Joel O. Paz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joel O. Paz. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Joel O. Paz. The network helps show where Joel O. Paz may publish in the future.

Co-authorship network of co-authors of Joel O. Paz

This figure shows the co-authorship network connecting the top 25 collaborators of Joel O. Paz. A scholar is included among the top collaborators of Joel O. Paz based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Joel O. Paz. Joel O. Paz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Tagert, Mary Love M., et al.. (2019). <i>Characterizing Surface Water Use for Irrigation in the Mississippi Delta</i>. 2019 Boston, Massachusetts July 7- July 10, 2019. 1 indexed citations
2.
Guzmán, Sandra M., Joel O. Paz, Mary Love M. Tagert, & Andrew E. Mercer. (2018). Evaluation of Seasonally Classified Inputs for the Prediction of Daily Groundwater Levels: NARX Networks Vs Support Vector Machines. Environmental Modeling & Assessment. 24(2). 223–234. 76 indexed citations
3.
Tagert, Mary Love M., et al.. (2017). 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. 20 indexed citations
4.
Thorp, Kelly R., Srinivasulu Ale, Michael Bange, et al.. (2014). Development and Application of Process-based Simulation Models for Cotton Production: A Review of Past, Present, and Future Directions. ˜The œjournal of cotton science/Journal of cotton science. 18(1). 10–47. 66 indexed citations
5.
Woli, Prem, Joel O. Paz, Brian S. Baldwin, David J. Lang, & James R. Kiniry. (2012). Soil and Variety Effects on Energy Use and Carbon Emissions Associated with Switchgrass-Based Ethanol Production in Mississippi. 2012 Dallas, Texas, July 29 - August 1, 2012. 1 indexed citations
6.
Olatinwo, Rabiu, Thara V. Prabha, Joel O. Paz, & Gerrit Hoogenboom. (2011). Predicting favorable conditions for early leaf spot of peanut using output from the Weather Research and Forecasting (WRF) model. International Journal of Biometeorology. 56(2). 259–268. 11 indexed citations
7.
Hook, James E., Gerrit Hoogenboom, Joel O. Paz, et al.. (2009). ASSESSING AGRICULTURAL GROUNDWATER NEEDS FOR THE FUTURE: IDENTIFYING IRRIGATED AREA AND SOURCES. 4 indexed citations
8.
Panda, Sudhanshu, Gerrit Hoogenboom, & Joel O. Paz. (2009). Distinguishing blueberry bushes from mixed vegetation land use using high resolution satellite imagery and geospatial techniques. Computers and Electronics in Agriculture. 67(1-2). 51–58. 33 indexed citations
9.
Shank, Daniel B., R. W. McClendon, Joel O. Paz, & Gerrit Hoogenboom. (2008). ENSEMBLE ARTIFICIAL NEURAL NETWORKS FOR PREDICTION OF DEW POINT TEMPERATURE. Applied Artificial Intelligence. 22(6). 523–542. 24 indexed citations
10.
Olatinwo, Rabiu, Joel O. Paz, Stefanie Brown, et al.. (2008). A Predictive Model for Spotted Wilt Epidemics in Peanut Based on Local Weather Conditions and the Tomato spotted wilt virus Risk Index. Phytopathology. 98(10). 1066–1074. 22 indexed citations
11.
Thorp, Kelly R., William D. Batchelor, Joel O. Paz, Amy L. Kaleita, & Kendall C. DeJonge. (2007). Using Cross-Validation to Evaluate CERES-Maize Yield Simulations within a Decision Support System for Precision Agriculture. Transactions of the ASABE. 50(4). 1467–1479. 34 indexed citations
12.
Thorp, Kelly R., William D. Batchelor, Joel O. Paz, Brian L. Steward, & D. J. Mulla. (2004). Estimating yield and environmental risks associated with variable rate nitrogen management for corn using Apollo.. 1570–1582. 1 indexed citations
13.
Batchelor, William D., et al.. (2004). INTEGRATING REMOTELY SENSED IMAGES WITH A SOYBEAN MODEL TO IMPROVE SPATIAL YIELD SIMULATION. Transactions of the ASAE. 47(6). 2081–2090. 11 indexed citations
14.
Paz, Joel O., William D. Batchelor, & Palle Pedersen. (2004). WebGro: A Web‐Based Soybean Management Decision Support System. Agronomy Journal. 96(6). 1771–1779. 21 indexed citations
15.
Paz, Joel O. & William D. Batchelor. (2003). Web-based Soybean Yield Simulation Model to Analyze the Effects of Interacting Yield-Limiting Factors. 2003, Las Vegas, NV July 27-30, 2003. 1 indexed citations
16.
Batchelor, William D., et al.. (2002). COUPLING SOYBEAN CYST NEMATODE DAMAGE TO CROPGROSOYBEAN. Transactions of the ASAE. 45(2). 12 indexed citations
17.
Batchelor, William D., et al.. (2001). GISâCROP MODEL BASED DECISION SUPPORT SYSTEM TO EVALUATE CORN AND SOYBEAN PRESCRIPTIONS. Applied Engineering in Agriculture. 17(5). 9 indexed citations
18.
Paz, Joel O., William D. Batchelor, & Gregory L. Tylka. (2001). METHOD TO USE CROP GROWTH MODELS TO ESTIMATE POTENTIAL RETURN FOR VARIABLERATE MANAGEMENT IN SOYBEANS. Transactions of the ASAE. 44(5). 11 indexed citations
19.
Paz, Joel O. & William D. Batchelor. (2000). What causes soybean yield variability. 1–15. 2 indexed citations
20.
Paz, Joel O., et al.. (2000). Integrating remotely sensed images to improve spatial crop model calibration.. 1–17. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Clyde W. Fraisse Breakdown of academic impact, for papers by C.A. van Diepen Breakdown of academic impact, for papers by Iwan Supit Breakdown of academic impact, for papers by Marco Acutis Breakdown of academic impact, for papers by Hendrik Boogaard Breakdown of academic impact, for papers by Wenjiao Shi Breakdown of academic impact, for papers by Josef Eitzinger Breakdown of academic impact, for papers by André Daccache Breakdown of academic impact, for papers by Michele Rinaldi Breakdown of academic impact, for papers by Davide Cammarano
Rankless by CCL
2026