Madan Koirala

58 total papers · 698 total citations
27 papers, 488 citations indexed

About

Madan Koirala is a scholar working on Nature and Landscape Conservation, Global and Planetary Change and Ecology. According to data from OpenAlex, Madan Koirala has authored 27 papers receiving a total of 488 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Nature and Landscape Conservation, 7 papers in Global and Planetary Change and 6 papers in Ecology. Recurrent topics in Madan Koirala's work include Tree-ring climate responses (5 papers), Forest ecology and management (5 papers) and Plant Water Relations and Carbon Dynamics (4 papers). Madan Koirala is often cited by papers focused on Tree-ring climate responses (5 papers), Forest ecology and management (5 papers) and Plant Water Relations and Carbon Dynamics (4 papers). Madan Koirala collaborates with scholars based in Nepal, China and India. Madan Koirala's co-authors include Dinesh Raj Bhuju, Narayan Prasad Gaire, H. P. Borgaonkar, Marco Carrer, Ramesh Raj Pant, Kedar Rijal, Santosh K. Shah, Subin Kalu, K C Anup and Fan Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Hazardous Materials and Journal of Environmental Management.

In The Last Decade

Madan Koirala

24 papers receiving 478 citations

Author Peers

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

Author Last Decade Papers Cites
Madan Koirala 260 236 189 60 52 27 488
Robert W. Van Kirk 153 0.6× 83 0.4× 200 1.1× 146 2.4× 19 0.4× 36 520
Yuyoung Choi 261 1.0× 85 0.4× 64 0.3× 50 0.8× 32 0.6× 34 547
Kathleen Beyer 220 0.8× 122 0.5× 153 0.8× 53 0.9× 14 0.3× 28 519
Kalle Remm 190 0.7× 84 0.4× 147 0.8× 22 0.4× 24 0.5× 24 543
Heather Cheshire 141 0.5× 119 0.5× 40 0.2× 36 0.6× 23 0.4× 21 435
Miguel Ángel Gómez Albores 144 0.6× 75 0.3× 79 0.4× 90 1.5× 21 0.4× 34 419
Joe Wisniewski 216 0.8× 62 0.3× 132 0.7× 15 0.3× 19 0.4× 29 435
П. Д. Гунин 133 0.5× 95 0.4× 78 0.4× 17 0.3× 78 1.5× 42 490
Yanan Wen 283 1.1× 115 0.5× 40 0.2× 23 0.4× 50 1.0× 13 540
Xiaoli Wang 255 1.0× 38 0.2× 80 0.4× 16 0.3× 31 0.6× 34 460

Countries citing papers authored by Madan Koirala

Since Specialization
Citations

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

Fields of papers citing papers by Madan Koirala

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Madan Koirala

This figure shows the co-authorship network connecting the top 25 collaborators of Madan Koirala. A scholar is included among the top collaborators of Madan 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 Madan Koirala. Madan 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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