Subrat Sharma

1.4k citations
39 papers · 710 · h-index 16

Impact in

Papers in

Subrat Sharma

36 papers receiving 662 citations

Peers

Subrat Sharma
Comparison fields: 5 of 89
  • Ecological Modeling 76
  • Nature and Landscape Conservation 192
  • Global and Planetary Change 253
  • Forestry 31
  • Management, Monitoring, Policy and Law 75
Replace Herbert V. M. Lyaruu with:
Herbert V. M. Lyaruu Tanzania
Md. Shawkat Islam Sohel Bangladesh
H Azarnivand Iran
Livia Rasche Germany
Wu Ning China
M. D. Subash Chandran India
Nasrullah Khan Pakistan
Marwa Waseem A. Halmy Egypt
Shaowei Li China
Mohammed Abu Sayed Arfin Khan Bangladesh
Subrat Sharma relative to Herbert V. M. Lyaruu Tanzania Herbert V. M. Lyaruu's profile →
Citations per field
00.5×4.7×
Herbert V. M. Lyaruu · 1×
Citations per year

Countries citing papers authored by Subrat Sharma

Since Specialization
Citations

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

Fields of papers citing papers by Subrat Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Subrat Sharma, 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 Subrat Sharma Line = papers co-authored together Subrat Sharma 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 2019117
2 201980
3 202153
4 200451
5 201847
6 200844
7 201033
8 199831
9 201928
10 200724
11 201623
12 201921
13 201920
14 201718
15 199117
16 199717
17 199712
18 19938
19 19948
20 20205

About Subrat Sharma

Subrat Sharma is a scholar working on Nature and Landscape Conservation, Global and Planetary Change, Ecology, Atmospheric Science and Management, Monitoring, Policy and Law, having authored 39 papers that have together received 710 indexed citations. Recurring topics across this work include Ecology and Vegetation Dynamics Studies (10 papers), Tree-ring climate responses (7 papers), Forest ecology and management (7 papers), Rangeland Management and Livestock Ecology (6 papers), Conservation, Biodiversity, and Resource Management (5 papers), Species Distribution and Climate Change (4 papers), Energy and Environment Impacts (3 papers) and Climate change impacts on agriculture (3 papers). The work is most often cited by research in Ecological Modeling (76 citations), Nature and Landscape Conservation (192 citations), Global and Planetary Change (253 citations), Forestry (31 citations) and Management, Monitoring, Policy and Law (75 citations). Subrat Sharma has collaborated with scholars based in India, United States and Ethiopia. Frequent co-authors include L. M. S. Palni, R. K. Maikhuri, Ranbeer S. Rawal, R. C. Prasad, G. C. S. Negi, S. S. Samant, Ravi Pathak, Vikram S. Negi, Indra D. Bhatt and Smita Chaudhry. Their work appears in journals such as Current Science, International Journal of Sustainable Development & World Ecology, Biodiversity and Conservation, Ecological Indicators and Journal of Sustainable Forestry.

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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