Santosh Pitla

1.2k total citations
56 papers, 788 citations indexed

About

Santosh Pitla is a scholar working on Plant Science, Civil and Structural Engineering and Mechanical Engineering. According to data from OpenAlex, Santosh Pitla has authored 56 papers receiving a total of 788 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Plant Science, 19 papers in Civil and Structural Engineering and 12 papers in Mechanical Engineering. Recurrent topics in Santosh Pitla's work include Soil Mechanics and Vehicle Dynamics (18 papers), Smart Agriculture and AI (12 papers) and Plant Surface Properties and Treatments (9 papers). Santosh Pitla is often cited by papers focused on Soil Mechanics and Vehicle Dynamics (18 papers), Smart Agriculture and AI (12 papers) and Plant Surface Properties and Treatments (9 papers). Santosh Pitla collaborates with scholars based in United States, Netherlands and Nepal. Santosh Pitla's co-authors include Joe D. Luck, S. A. Shearer, Yufeng Ge, James C. Schnable, Abbas Atefi, Michael P. Sama, Rodrigo Sinaidi Zandonadi, Michael F. Kocher, T. M. Brown-Brandl and John P. Stinn and has published in prestigious journals such as Frontiers in Plant Science, Crop Science and Computers and Electronics in Agriculture.

In The Last Decade

Santosh Pitla

47 papers receiving 715 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Santosh Pitla United States 16 372 142 120 82 71 56 788
Dae-Hyun Lee South Korea 15 291 0.8× 149 1.0× 198 1.6× 54 0.7× 51 0.7× 109 802
Luis Emmi Spain 16 581 1.6× 102 0.7× 154 1.3× 65 0.8× 142 2.0× 32 927
Wenfu Wu China 17 415 1.1× 38 0.3× 120 1.0× 78 1.0× 48 0.7× 107 1.2k
Fuzeng Yang China 17 606 1.6× 109 0.8× 203 1.7× 34 0.4× 103 1.5× 50 1.1k
Jeongeun Kim South Korea 16 430 1.2× 45 0.3× 149 1.2× 87 1.1× 88 1.2× 42 1.1k
Jianneng Chen China 13 372 1.0× 121 0.9× 167 1.4× 27 0.3× 55 0.8× 88 762
Xinyu Xue China 18 894 2.4× 92 0.6× 88 0.7× 231 2.8× 136 1.9× 88 1.4k
Ting Yuan China 18 563 1.5× 82 0.6× 122 1.0× 57 0.7× 94 1.3× 59 973
Jiangtao Qi China 11 298 0.8× 84 0.6× 62 0.5× 79 1.0× 84 1.2× 40 617

Countries citing papers authored by Santosh Pitla

Since Specialization
Citations

This map shows the geographic impact of Santosh Pitla'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 Santosh Pitla with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Santosh Pitla more than expected).

Fields of papers citing papers by Santosh Pitla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Santosh Pitla. 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 Santosh Pitla. The network helps show where Santosh Pitla may publish in the future.

Co-authorship network of co-authors of Santosh Pitla

This figure shows the co-authorship network connecting the top 25 collaborators of Santosh Pitla. A scholar is included among the top collaborators of Santosh Pitla 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 Santosh Pitla. Santosh Pitla 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.
Yu, Chong Ho, Benjamin S. Riggan, Kuan Zhang, et al.. (2025). Towards real-time weed detection and segmentation with lightweight CNN models on edge devices. Computers and Electronics in Agriculture. 237. 110600–110600. 7 indexed citations
2.
Grispos, George, et al.. (2025). Investigating The Implications of Cyberattacks Against Precision Agricultural Equipment. 20(1). 93–104. 1 indexed citations
3.
4.
Singh, Mandeep, Vipan Kumar, Stevan Z. Knežević, et al.. (2024). Pollen‐mediated gene flow from herbicide‐resistant yellow corn to non‐genetically engineered food‐grade white corn. Crop Science. 64(3). 1887–1900.
5.
Behera, Sanjib Kumar, et al.. (2024). Targeted weed management of Palmer amaranth using robotics and deep learning (YOLOv7). Frontiers in Robotics and AI. 11. 1441371–1441371. 7 indexed citations
6.
Singh, Mandeep, Vipan Kumar, Stevan Z. Knežević, et al.. (2023). Interaction of quizalofop-p-ethyl with 2,4-D choline and/or glufosinate for control of volunteer corn in corn resistant to aryloxyphenoxypropionates. Weed Technology. 37(5). 471–481. 1 indexed citations
7.
Pitla, Santosh, et al.. (2023). Agricultural Machinery Operator Monitoring System (Ag-OMS): A Machine Learning Approach for Real-Time Operator Safety Assessment. Journal of Agricultural Safety and Health. 29(2). 85–97. 1 indexed citations
8.
Luck, Joe D., et al.. (2022). Optical Sensor System for Chemical Flow Rate Monitoring with Direct Nozzle Injection. Journal of the ASABE. 65(1). 87–95. 2 indexed citations
9.
Vuran, Mehmet C., et al.. (2022). Millimeter-Wave Agricultural Channel Measurements in Corn and Soybean Fields at Different Growth Stages. 2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (AP-S/URSI). 6 indexed citations
10.
Atefi, Abbas, Yufeng Ge, Santosh Pitla, & James C. Schnable. (2021). Robotic Technologies for High-Throughput Plant Phenotyping: Contemporary Reviews and Future Perspectives. Frontiers in Plant Science. 12. 611940–611940. 94 indexed citations
11.
Pitla, Santosh, et al.. (2020). Row crop grain harvester path optimization in headland patterns. Computers and Electronics in Agriculture. 171. 105295–105295. 15 indexed citations
12.
Brown-Brandl, T. M., et al.. (2020). Evaluation of low-cost depth cameras for agricultural applications. Computers and Electronics in Agriculture. 173. 105394–105394. 61 indexed citations
13.
Rohrer, R.A., Santosh Pitla, & Joe D. Luck. (2019). Tractor CAN bus interface tools and application development for real-time data analysis. Computers and Electronics in Agriculture. 163. 104847–104847. 19 indexed citations
14.
Young, Stephen L., Santosh Pitla, F.K. van Evert, John K. Schueller, & Francis J. Pierce. (2017). Moving integrated weed management from low level to a truly integrated and highly specific weed management system using advanced technologies. Weed Research. 57(1). 1–5. 22 indexed citations
15.
Kocher, Michael F., et al.. (2017). Fuel Consumption Models for Tractor Test Reports. Transactions of the ASABE. 60(3). 693–701. 20 indexed citations
16.
Pitla, Santosh, et al.. (2017). Development and Validation of a Tractor Drawbar Force Measurement and Data Acquisition System (DAQ). Applied Engineering in Agriculture. 33(6). 781–789. 13 indexed citations
17.
Pitla, Santosh, et al.. (2016). Tractor hydraulic power data acquisition system. Computers and Electronics in Agriculture. 127. 1–14. 4 indexed citations
18.
Pitla, Santosh, et al.. (2016). In-field fuel use and load states of agricultural field machinery. Computers and Electronics in Agriculture. 121. 290–300. 37 indexed citations
19.
Pitla, Santosh, et al.. (2015). Development of a Row-Crop Tractor Data Acquisition System. 2015 ASABE International Meeting. 1 indexed citations
20.
Venkatesh, Ramarao, Peter R. Thomison, Mark A. Bennett, et al.. (2014). Seed Tape Effects on Corn Emergence under Greenhouse Conditions. Crop Management. 13(1). 1–3. 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.

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