Mahendra Bhandari

1.1k total citations · 1 hit paper
27 papers, 704 citations indexed

About

Mahendra Bhandari is a scholar working on Plant Science, Ecology and Environmental Engineering. According to data from OpenAlex, Mahendra Bhandari has authored 27 papers receiving a total of 704 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Plant Science, 14 papers in Ecology and 9 papers in Environmental Engineering. Recurrent topics in Mahendra Bhandari's work include Remote Sensing in Agriculture (14 papers), Smart Agriculture and AI (13 papers) and Remote Sensing and LiDAR Applications (7 papers). Mahendra Bhandari is often cited by papers focused on Remote Sensing in Agriculture (14 papers), Smart Agriculture and AI (13 papers) and Remote Sensing and LiDAR Applications (7 papers). Mahendra Bhandari collaborates with scholars based in United States, India and Thailand. Mahendra Bhandari's co-authors include Jinha Jung, Anjin Chang, Murilo Maeda, Akash Ashapure, Jackie C. Rudd, Juan Landivar, Qingwu Xue, Amir M. H. Ibrahim, Shannon Baker and Bharat Sharma Acharya and has published in prestigious journals such as SHILAP Revista de lepidopterología, Water Resources Research and Sensors.

In The Last Decade

Mahendra Bhandari

22 papers receiving 676 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The potential of remote sensing and artificial intelligence as tools to improve the resilience of agriculture production systems

2020 279 citations Jinha Jung, Murilo Maeda et al. Current Opinion in Biotechnology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mahendra Bhandari United States	10	334	235	147	92	69	27	704
Johannes Forkman Sweden	17	326 1.0×	87 0.4×	78 0.5×	49 0.5×	7 0.1×	56	1.1k
Sha Zhang China	18	114 0.3×	298 1.3×	192 1.3×	530 5.8×	13 0.2×	89	1.2k
Jerry Adriani Johann Brazil	16	262 0.8×	367 1.6×	235 1.6×	222 2.4×	16 0.2×	82	852
Qingwen Qi China	15	75 0.2×	89 0.4×	141 1.0×	139 1.5×	10 0.1×	84	760
Michelle Cristina Araújo Picoli Brazil	20	294 0.9×	557 2.4×	292 2.0×	463 5.0×	9 0.1×	54	1.3k
Chang Ao China	14	115 0.3×	103 0.4×	104 0.7×	50 0.5×	5 0.1×	43	760
Ru Xu China	16	56 0.2×	129 0.5×	127 0.9×	291 3.2×	7 0.1×	29	734
Edwin Raczko Poland	12	79 0.2×	468 2.0×	247 1.7×	179 1.9×	5 0.1×	19	761
Mohammad Salehi Iran	16	174 0.5×	60 0.3×	196 1.3×	31 0.3×	10 0.1×	50	648
Mingquan Wu China	22	315 0.9×	902 3.8×	530 3.6×	438 4.8×	12 0.2×	50	1.3k

Countries citing papers authored by Mahendra Bhandari

Since Specialization

Citations

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

Fields of papers citing papers by Mahendra Bhandari

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mahendra Bhandari

This figure shows the co-authorship network connecting the top 25 collaborators of Mahendra Bhandari. A scholar is included among the top collaborators of Mahendra Bhandari 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 Mahendra Bhandari. Mahendra Bhandari is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Bhandari, Mahendra, et al.. (2025). Estimating sugarcane yield and its components using unoccupied aerial systems (UAS)-based high throughput phenotyping (HTP). Computers and Electronics in Agriculture. 237. 110658–110658.

Ghansah, Benjamin, et al.. (2025). Satellite vs uncrewed aircraft systems (UAS): Combining high-resolution SkySat and UAS images for cotton yield estimation. Computers and Electronics in Agriculture. 234. 110280–110280.

Gad, Shayne C., et al.. (2025). Low-Cost, Compact Mobile Robot for Autonomous Soil Monitoring in Crop Fields. 438–443.

Bhandari, Mahendra, et al.. (2024). Assessing Drought Stress of Sugarcane Cultivars Using Unmanned Vehicle System (UAS)-Based Vegetation Indices and Physiological Parameters. Remote Sensing. 16(8). 1433–1433. 7 indexed citations

Montero, Oscar, et al.. (2024). Techniques for Canopy to Organ Level Plant Feature Extraction via Remote and Proximal Sensing: A Survey and Experiments. Remote Sensing. 16(23). 4370–4370. 4 indexed citations

Niu, Haoyu, et al.. (2024). Cotton Yield Prediction via UAV-Based Cotton Boll Image Segmentation Using YOLO Model and Segment Anything Model (SAM). Remote Sensing. 16(23). 4346–4346. 13 indexed citations

Zhao, Lei, et al.. (2024). Cotton yield prediction utilizing unmanned aerial vehicles (UAV) and Bayesian neural networks. Computers and Electronics in Agriculture. 226. 109415–109415. 12 indexed citations

Ghansah, Benjamin, Mahendra Bhandari, Michael J. Starek, et al.. (2024). Utilizing UAS-Lidar for High Throughput Phenotyping of Energy Cane. 6251–6254.

Dhal, Sambandh Bhusan, Stavros Kalafatis, Ulisses Braga-Neto, et al.. (2024). Testing the Performance of LSTM and ARIMA Models for In-Season Forecasting of Canopy Cover (CC) in Cotton Crops. Remote Sensing. 16(11). 1906–1906. 6 indexed citations

10.

Jung, Jinha, Songlin Fei, Mitch Tuinstra, et al.. (2024). Data to science: an open-source online platform for managing, visualizing, and publishing UAS data. 4–4.

11.

Bhandari, Mahendra, Anjin Chang, Jinha Jung, et al.. (2023). Unmanned aerial system‐based high‐throughput phenotyping for plant breeding. SHILAP Revista de lepidopterología. 6(1). 21 indexed citations

12.

Bhandari, Mahendra, et al.. (2023). 79 Cross-Training Future Workforce on Data Handling and Interpretation for Precision Agriculture Systems. Journal of Animal Science. 101(Supplement_1). 113–114. 1 indexed citations

13.

Bhandari, Mahendra, Shannon Baker, Jackie C. Rudd, et al.. (2021). Assessing the Effect of Drought on Winter Wheat Growth Using Unmanned Aerial System (UAS)-Based Phenotyping. Remote Sensing. 13(6). 1144–1144. 30 indexed citations

14.

Bhandari, Mahendra, Qingwu Xue, Shuyu Liu, et al.. (2021). Thermal imaging to evaluate wheat genotypes under dryland conditions. Agrosystems Geosciences & Environment. 4(2). 8 indexed citations

15.

Acharya, Bharat Sharma, Mahendra Bhandari, Filippo Bandini, et al.. (2021). Unmanned Aerial Vehicles in Hydrology and Water Management: Applications, Challenges, and Perspectives. Water Resources Research. 57(11). 92 indexed citations

16.

Bhandari, Mahendra. (2020). High-Throughput Field Phenotyping in Wheat Using Unmanned Aerial Systems (UAS). OakTrust (Texas A&M University Libraries). 2 indexed citations

17.

Jung, Jinha, et al.. (2020). The potential of remote sensing and artificial intelligence as tools to improve the resilience of agriculture production systems. Current Opinion in Biotechnology. 70. 15–22. 279 indexed citations breakdown →

18.

Abaza, Ronney, Anil K. Sood, Rajesh Ahlawat, et al.. (2013). Robotic Kidney Transplantation with Regional Hypothermia: Evolution of a Novel Procedure Utilizing the IDEAL Guidelines (IDEAL Phase 0 and 1). European Urology. 65(5). 1001–1009. 65 indexed citations

19.

Bhandari, Mahendra, et al.. (1998). Strategies for increasing transplantation in India and prospects of organ sharing. Transplantation Proceedings. 30(7). 3648–3648. 4 indexed citations

20.

Kumar, Anant, et al.. (1994). Should elderly donors be accepted in a live related renal transplant program?. Clinical Transplantation. 8(6). 523–526. 22 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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