Anand Koirala

27 total papers · 1.5k total citations
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, United States and India. Anand Koirala's co-authors include Kerry B. Walsh, Cheryl McCarthy, Zhenglin Wang, Nicholas Anderson, Brijesh Verma, Sanjib Mohanty, Michael Li, Girija Chetty, Andrew Robson and Priyakant Sinha 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

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Anand Koirala 934 309 271 122 117 20 1.1k
Cheryl McCarthy 968 1.0× 255 0.8× 282 1.0× 185 1.5× 124 1.1× 31 1.2k
Fangfang Gao 899 1.0× 257 0.8× 165 0.6× 92 0.8× 106 0.9× 33 1.4k
Zhe Wang 661 0.7× 197 0.6× 152 0.6× 87 0.7× 249 2.1× 12 1.3k
Zhengang Yang 694 0.7× 223 0.7× 113 0.4× 78 0.6× 109 0.9× 36 968
Shaoming Luo 650 0.7× 286 0.9× 138 0.5× 86 0.7× 79 0.7× 44 1.3k
Guichao Lin 785 0.8× 188 0.6× 103 0.4× 90 0.7× 155 1.3× 22 991
Aichen Wang 779 0.8× 304 1.0× 233 0.9× 68 0.6× 78 0.7× 42 1.2k
Suraj Amatya 827 0.9× 195 0.6× 247 0.9× 164 1.3× 56 0.5× 14 939
Chaojun Hou 697 0.7× 187 0.6× 142 0.5× 90 0.7× 73 0.6× 39 1.2k
Chenglin Wang 729 0.8× 194 0.6× 115 0.4× 101 0.8× 205 1.8× 32 1.1k

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

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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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