Anand Koirala

1.5k total citations · 2 hit papers
20 papers, 1.1k citations indexed

About

Anand Koirala is a scholar working on Plant Science, Ecology and Mechanical Engineering. According to data from OpenAlex, Anand Koirala has authored 20 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Plant Science, 5 papers in Ecology and 4 papers in Mechanical Engineering. Recurrent topics in Anand Koirala's work include Smart Agriculture and AI (15 papers), Leaf Properties and Growth Measurement (11 papers) and Remote Sensing in Agriculture (5 papers). Anand Koirala is often cited by papers focused on Smart Agriculture and AI (15 papers), Leaf Properties and Growth Measurement (11 papers) and Remote Sensing in Agriculture (5 papers). Anand Koirala collaborates with scholars based in Australia, India and United States. Anand Koirala's co-authors include Kerry B. Walsh, Cheryl McCarthy, Zhenglin Wang, Zhenzhen Wang, Nicholas Anderson, Brijesh Verma, Andrew Robson, Michael Li, Animesh Mishra and Praveen K. Sahu and has published in prestigious journals such as Scientific Reports, IEEE Access and Sensors.

In The Last Decade

Anand Koirala

18 papers receiving 1.1k citations

Hit Papers

Deep learning – Method ov... 2019 2026 2021 2023 2019 2019 100 200 300 400
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.

  1. Deep learning – Method overview and review of use for fruit detection and yield estimation
    2019 427 citations Anand Koirala, Kerry B. Walsh et al. Computers and Electronics in Agriculture profile →
  2. Deep learning for real-time fruit detection and orchard fruit load estimation: benchmarking of ‘MangoYOLO’
    2019 336 citations Anand Koirala, Kerry B. Walsh et al. Precision Agriculture profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anand Koirala Australia 12 944 309 272 123 118 20 1.1k
Cheryl McCarthy Australia 12 979 1.0× 255 0.8× 282 1.0× 188 1.5× 124 1.1× 31 1.2k
Aichen Wang China 16 803 0.9× 310 1.0× 235 0.9× 72 0.6× 77 0.7× 43 1.2k
Chunjiang Zhao China 22 1.0k 1.1× 251 0.8× 248 0.9× 124 1.0× 61 0.5× 85 1.4k
Guichao Lin China 12 794 0.8× 188 0.6× 103 0.4× 91 0.7× 159 1.3× 22 1.0k
Juntao Xiong China 21 1.2k 1.3× 410 1.3× 188 0.7× 132 1.1× 215 1.8× 49 1.6k
Suraj Amatya United States 10 834 0.9× 196 0.6× 247 0.9× 165 1.3× 56 0.5× 14 947
Jordi Gené-Mola Spain 15 692 0.7× 168 0.5× 224 0.8× 234 1.9× 67 0.6× 28 849
Gensheng Hu China 18 947 1.0× 412 1.3× 291 1.1× 134 1.1× 116 1.0× 53 1.3k
Young Chang Canada 18 768 0.8× 240 0.8× 220 0.8× 96 0.8× 46 0.4× 51 1.1k
Suchet Bargoti Australia 5 554 0.6× 179 0.6× 189 0.7× 118 1.0× 61 0.5× 12 643

Countries citing papers authored by Anand Koirala

Since Specialization
Citations

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

Fields of papers citing papers by Anand Koirala

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anand Koirala

This figure shows the co-authorship network connecting the top 25 collaborators of Anand Koirala. A scholar is included among the top collaborators of Anand Koirala 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 Anand Koirala. Anand Koirala 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.
Koirala, Anand, Jahan Hassan, Nahina Islam, et al.. (2025). Intelligent weed management using aerial image processing and precision herbicide spraying: An overview. Crop Protection. 194. 107206–107206. 5 indexed citations
2.
Walsh, Kerry B., et al.. (2024). Developing Machine Vision in Tree-Fruit Applications—Fruit Count, Fruit Size and Branch Avoidance in Automated Harvesting. Sensors. 24(17). 5593–5593. 9 indexed citations
3.
Koirala, Anand, et al.. (2024). Development of intelligent suite for malaria pathogen detection in microscopy images. Scientific Reports. 14(1). 23821–23821.
4.
Koirala, Anand, et al.. (2023). Fruit Sizing in Orchard: A Review from Caliper to Machine Vision with Deep Learning. Sensors. 23(8). 3868–3868. 20 indexed citations
5.
Neupane, Arjun, et al.. (2023). Review: The evolution of chemometrics coupled with near infrared spectroscopy for fruit quality evaluation. II. The rise of convolutional neural networks. Journal of Near Infrared Spectroscopy. 31(3). 109–125. 14 indexed citations
6.
Koirala, Anand, et al.. (2022). Deep Learning for Real-Time Malaria Parasite Detection and Counting Using YOLO-mp. IEEE Access. 10. 102157–102172. 32 indexed citations
7.
Koirala, Anand, et al.. (2022). In-Orchard Sizing of Mango Fruit: 1. Comparison of Machine Vision Based Methods for On-The-Go Estimation. Horticulturae. 8(12). 1223–1223. 15 indexed citations
8.
Koirala, Anand, Kerry B. Walsh, & Zhenglin Wang. (2021). Attempting to Estimate the Unseen—Correction for Occluded Fruit in Tree Fruit Load Estimation by Machine Vision with Deep Learning. Agronomy. 11(2). 347–347. 25 indexed citations
9.
Koirala, Anand, et al.. (2021). Evaluation of Depth Cameras for Use in Fruit Localization and Sizing: Finding a Successor to Kinect v2. Agronomy. 11(9). 1780–1780. 56 indexed citations
10.
Anderson, Nicholas, Kerry B. Walsh, Anand Koirala, et al.. (2021). Estimation of Fruit Load in Australian Mango Orchards Using Machine Vision. Agronomy. 11(9). 1711–1711. 24 indexed citations
11.
Koirala, Anand, Kerry B. Walsh, Zhenglin Wang, & Nicholas Anderson. (2020). Deep Learning for Mango (Mangifera indica) Panicle Stage Classification. Agronomy. 10(1). 143–143. 30 indexed citations
12.
Koirala, Anand, Kerry B. Walsh, Zhenglin Wang, & Cheryl McCarthy. (2019). Deep learning – Method overview and review of use for fruit detection and yield estimation. Computers and Electronics in Agriculture. 162. 219–234. 427 indexed citations breakdown →
13.
Wang, Zhenglin, Kerry B. Walsh, & Anand Koirala. (2019). Mango Fruit Load Estimation Using a Video Based MangoYOLO—Kalman Filter—Hungarian Algorithm Method. Sensors. 19(12). 2742–2742. 80 indexed citations
14.
Wang, Z., Anand Koirala, & Kerry B. Walsh. (2019). Using machine vision in mango orchard management. Acta Horticulturae. 109–116. 1 indexed citations
15.
Koirala, Anand, Kerry B. Walsh, Zhenzhen Wang, & Cheryl McCarthy. (2019). Deep learning for real-time fruit detection and orchard fruit load estimation: benchmarking of ‘MangoYOLO’. Precision Agriculture. 20(6). 1107–1135. 336 indexed citations breakdown →
16.
Koirala, Anand, et al.. (2019). Fruit sizing in-field using a mobile app. Acta Horticulturae. 129–136. 2 indexed citations
17.
Walsh, Kerry B., et al.. (2019). Technical note: support tools for maturity estimation. Acta Horticulturae. 117–122. 2 indexed citations
18.
Wang, Zhenglin, Anand Koirala, Kerry B. Walsh, Nicholas Anderson, & Brijesh Verma. (2018). In Field Fruit Sizing Using A Smart Phone Application. Sensors. 18(10). 3331–3331. 26 indexed citations
19.
Underwood, James, et al.. (2018). Fruit load estimation in mango orchards - a method comparison. Acquire (CQUniversity). 3 indexed citations
20.
Wang, Zhenglin, Brijesh Verma, Kerry B. Walsh, P.P. Subedi, & Anand Koirala. (2016). Automated mango flowering assessment via refinement segmentation. Acquire (CQUniversity). 1–6. 8 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 Cheryl McCarthy Breakdown of academic impact, for papers by Aichen Wang Breakdown of academic impact, for papers by Chunjiang Zhao Breakdown of academic impact, for papers by Guichao Lin Breakdown of academic impact, for papers by Juntao Xiong Breakdown of academic impact, for papers by Suraj Amatya Breakdown of academic impact, for papers by Jordi Gené-Mola Breakdown of academic impact, for papers by Gensheng Hu Breakdown of academic impact, for papers by Young Chang Breakdown of academic impact, for papers by Suchet Bargoti
Rankless by CCL
2026