Anand Koirala
- Plant Science top 2%
- Analytical Chemistry top 1%
- Ecology top 10%
- Environmental Engineering top 10%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Kerry B. WalshCheryl McCarthyZhenglin WangZhenzhen WangNicholas AndersonBrijesh VermaAndrew RobsonAnimesh Mishra
- Topics
- Smart Agriculture and AI (15 papers)Leaf Properties and Growth Measurement (11 papers)Remote Sensing in Agriculture (5 papers)
- Journals
- Scientific ReportsIEEE AccessSensors
- Partner nations
- AustraliaIndiaUnited States
In The Last Decade
Anand Koirala
18 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 82
- Plant Science 944
- Analytical Chemistry 309
- Ecology 272
- Environmental Engineering 123
- Computer Vision and Pattern Recognition 118
Countries citing papers authored by Anand Koirala
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 9 | |
| 3 | 0 | |
| 4 | 20 | |
| 5 | 14 | |
| 6 | 15 | |
| 7 | 32 | |
| 8 | 25 | |
| 9 | 56 | |
| 10 | 24 | |
| 11 | 30 | |
| 12 | Deep learning – Method overview and review of use for fruit detection and yield estimationbreakdown → | 427 |
| 13 | 1 | |
| 14 | Deep learning for real-time fruit detection and orchard fruit load estimation: benchmarking of ‘MangoYOLO’breakdown → | 336 |
| 15 | 2 | |
| 16 | 80 | |
| 17 | 2 | |
| 18 | 26 | |
| 19 | Fruit load estimation in mango orchards - a method comparison | 3 |
| 20 | 8 |
About Anand Koirala
Anand Koirala is a scholar working on Plant Science, Analytical Chemistry and Ecology, having authored 20 papers that have together received 1.1k indexed citations. Recurring topics across this work include Smart Agriculture and AI (15 papers), Leaf Properties and Growth Measurement (11 papers) and Remote Sensing in Agriculture (5 papers). The work is most often cited by research in Analytical Chemistry (309 citations), Plant Science (944 citations) and Ecology (272 citations). Anand Koirala has collaborated with scholars based in Australia, India and United States. Frequent co-authors include Kerry B. Walsh, Cheryl McCarthy, Zhenglin Wang, Zhenzhen Wang, Nicholas Anderson, Brijesh Verma, Andrew Robson, Animesh Mishra, Sanjib Mohanty and Arjun Neupane. Their work appears in journals such as Scientific Reports, IEEE Access and Sensors.
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.