Rahul Dev Garg

275 papers receiving 5.1k citations

Rahul Dev Garg's Hit Papers

Evaluation of vertical accuracy of open source Digital Elevation Model (DEM) 2012 · 329 citations
3290+4+9Years since publication100200300

Peers

Rahul Dev Garg
Comparison fields: 5 of 161
  • Environmental Engineering 801
  • Media Technology 398
  • Computer Vision and Pattern Recognition 972
  • Hardware and Architecture 262
  • Ocean Engineering 358
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Countries citing papers authored by Rahul Dev Garg

Since Specialization
Citations

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

Fields of papers citing papers by Rahul Dev Garg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Rahul Dev Garg, 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 Dev Garg Line = papers co-authored together Rahul Dev Garg links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 299 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Evaluation of vertical accuracy of open source Digital Elevation Model (DEM)
Hit paper breakdown →
2012329
2 2013239
3 2008174
4 2008144
5 2004143
6 2002140
7 2018136
8 2007127
9 2009110
10 2018104
11 201990
12 201287
13 201080
14 201480
15 201270
16 201366
17 202163
18 201162
19 201359
20 202259

About Rahul Dev Garg

Rahul Dev Garg is a scholar working on Media Technology, Environmental Engineering, Atmospheric Science, Computer Vision and Pattern Recognition and Hardware and Architecture, having authored 299 papers that have together received 5.3k indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (38 papers), Remote Sensing in Agriculture (19 papers), Parallel Computing and Optimization Techniques (16 papers), Synthetic Aperture Radar (SAR) Applications and Techniques (12 papers), Traffic and Road Safety (11 papers), Urban Heat Island Mitigation (11 papers), Functional Brain Connectivity Studies (10 papers) and Cryospheric studies and observations (9 papers). The work is most often cited by research in Environmental Engineering (801 citations), Media Technology (398 citations), Computer Vision and Pattern Recognition (972 citations), Hardware and Architecture (262 citations) and Ocean Engineering (358 citations). Rahul Dev Garg has collaborated with scholars based in India, United States and China. Frequent co-authors include Pradeep Kumar Garg, Sandip Kumar Mukherjee, Pankaj Pratap Singh, Steven M. Seitz, Chandra Shekhar Prasad Ojha, Rajat Agarwal, Pawan Kumar Joshi, Neal Wadhwa, Anoop Kumar Shukla and Jonathan T. Barron. Their work appears in journals such as Journal of Earth System Science, Geocarto International, Scientific Reports, International Journal of Remote Sensing and Remote Sensing Applications Society and Environment.

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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