Rahul Sharma

699 citations
22 papers · 507 indexed · h-index 9

Rahul Sharma

20 papers receiving 471 citations

Peers

Rahul Sharma
Comparison fields: 5 of 85
  • Health Informatics 18
  • Cognitive Neuroscience 243
  • Signal Processing 110
  • Experimental and Cognitive Psychology 114
  • Human-Computer Interaction 37
Replace Md. Rashed-Al-Mahfuz with:
Md. Rashed-Al-Mahfuz Bangladesh
Sajid Gul Khawaja Pakistan
Stanisław Saganowski Poland
Delaram Sadeghi Australia
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Qinglin Dong United States
Victoria Peterson Argentina
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Citations per year

Countries citing papers authored by Rahul Sharma

Since Specialization
Citations

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

Fields of papers citing papers by Rahul Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 10 scholars most cited alongside Rahul 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 Rahul Sharma Line = papers co-authored together Rahul Sharma links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20236
2 202311
3 20221
4 20222
5 2021135
6 202073
7 2020145
8 202040
9 201922
10 201920
11 20174
12 20162
13 20151
14
A Framework for the Cost-benefit Analyses of Social Forestry
19971
15
Analytical Techniques for Social Forestry Evaluation: a Review
19960
16
An Expert Systems Approach to the Socio-economic Evaluation of Rural Land-use Policy
19951
17 19931
18 199315
19 199115
20
The socio-economic environment of forestry development in India (since British period): a historical perspective.
19905

About Rahul Sharma

Rahul Sharma is a scholar working on Signal Processing, Gastroenterology and Ocean Engineering, having authored 22 papers that have together received 507 indexed citations. Recurring topics across this work include Blind Source Separation Techniques (6 papers), EEG and Brain-Computer Interfaces (6 papers), Water resources management and optimization (5 papers), Economic and Environmental Valuation (4 papers), Conservation, Biodiversity, and Resource Management (4 papers), Neural dynamics and brain function (2 papers), Social and Economic Development in India (2 papers) and Digital Imaging for Blood Diseases (2 papers). The work is most often cited by research in Health Informatics (18 citations), Cognitive Neuroscience (243 citations) and Signal Processing (110 citations). Rahul Sharma has collaborated with scholars based in India, United Kingdom and Singapore. Frequent co-authors include Ram Bilas Pachori, Pradip Sircar, Abhijit Bhattacharyya, M. J. McGregor, U. Rajendra Acharya, Sulatha V. Bhandary, Youakim Badr, Surender Kumar Soni, Sarah Skerratt and Pavan Kumar. Their work appears in journals such as Forest Ecology and Management, Biomedical Signal Processing and Control and Agroforestry Systems.

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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