Deep Narayan Shah

936 citations
39 papers · 410 · h-index 13

Impact in

Papers in

    • Freshwater macroinvertebrate diversity and ecology 18
    • Aquatic Invertebrate Ecology and Behavior 5
    • Marine animal studies overview 3
    • Fish Ecology and Management Studies 15
    • Fish biology, ecology, and behavior 2

Deep Narayan Shah

38 papers receiving 390 citations

Peers

Deep Narayan Shah
Comparison fields: 5 of 61
  • Ecological Modeling 76
  • Nature and Landscape Conservation 171
  • Ecology 282
  • Water Science and Technology 71
  • Environmental Chemistry 38
Replace Guohuan Su with:
Guohuan Su China
James B. Stribling United States
Nobuo Ishiyama Japan
Cristina Coccia Spain
Savrina F. Carrizo United Kingdom
Rocío Fernández‐Zamudio Spain
Naomi Ewald United Kingdom
John F. Bunnell United States
Mark T. Southerland United States
Eric E. Jorgensen United States
Deep Narayan Shah relative to Guohuan Su China Guohuan Su's profile →
Citations per field
00.5×9.5×
Guohuan Su · 1×
Citations per year

Countries citing papers authored by Deep Narayan Shah

Since Specialization
Citations

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

Fields of papers citing papers by Deep Narayan Shah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Deep Narayan Shah. 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 Deep Narayan Shah. The network helps show where Deep Narayan Shah may publish in the future.

Co-authors

The 25 scholars most cited alongside Deep Narayan Shah, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Deep Narayan Shah Line = papers co-authored together Deep Narayan Shah links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201655
2 201133
3 201324
4 201820
5 201420
6 201518
7 201218
8 201217
9 201616
10 201116
11 201214
12 201213
13 201113
14 201612
15 202112
16 201512
17 202010
18 201010
19 202210
20 20108

About Deep Narayan Shah

Deep Narayan Shah is a scholar working on Ecology, Nature and Landscape Conservation, Ecological Modeling, Water Science and Technology and Genetics, having authored 39 papers that have together received 410 indexed citations. Recurring topics across this work include Freshwater macroinvertebrate diversity and ecology (18 papers), Fish Ecology and Management Studies (15 papers), Species Distribution and Climate Change (8 papers), Water Quality and Pollution Assessment (5 papers), Aquatic Invertebrate Ecology and Behavior (5 papers), Marine animal studies overview (3 papers), Hydropower, Displacement, Environmental Impact (2 papers) and Fish biology, ecology, and behavior (2 papers). The work is most often cited by research in Ecological Modeling (76 citations), Nature and Landscape Conservation (171 citations), Ecology (282 citations), Water Science and Technology (71 citations) and Environmental Chemistry (38 citations). Deep Narayan Shah has collaborated with scholars based in Nepal, Germany and United States. Frequent co-authors include Ram Devi Tachamo Shah, Sonja C. Jähnig, Steffen U. Pauls, Jonathan D. Tonkin, Sami Domisch, Peter Haase, Fengqing Li, Subodh Sharma, Qinghua Cai and Tanya M. Doody. Their work appears in journals such as Environmental Monitoring and Assessment, PLoS ONE, Ecology and Evolution, Environmental Earth Sciences and Journal of Biogeography.

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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