Rohit Mohan

503 citations
24 papers · 257 indexed · h-index 8

Impact in

Papers in

Rohit Mohan

19 papers receiving 245 citations

Peers

Rohit Mohan
Comparison fields: 5 of 51
  • Computer Vision and Pattern Recognition 166
  • Geology 22
  • Environmental Engineering 50
  • Instrumentation 11
  • Computer Graphics and Computer-Aided Design 9
Replace Jean Lahoud with:
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Rohit Mohan relative to Jean Lahoud United Arab Emirates Jean Lahoud's profile →
Citations per field
00.5×4.0×
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Citations per year

Countries citing papers authored by Rohit Mohan

Since Specialization
Citations

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

Fields of papers citing papers by Rohit Mohan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Rohit Mohan, 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 Rohit Mohan Line = papers co-authored together Rohit Mohan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2022123
2 202231
3 202315
4 202114
5 202213
6 202311
7 201111
8 20137
9 20245
10 20245
11 20194
12
SIMULATION ANALYSIS OF 100KW INTEGRATED SEGMENTED ENERGY STORAGE FOR GRID CONNECTED PV SYSTEM
20124
13 20204
14 20243
15 20142
16 20241
17 20241
18 20241
19 20161
20 20251

About Rohit Mohan

Rohit Mohan is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications, Artificial Intelligence, Automotive Engineering and Information Systems, having authored 24 papers that have together received 257 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (6 papers), Advanced Neural Network Applications (4 papers), Distributed and Parallel Computing Systems (2 papers), Visual Attention and Saliency Detection (2 papers), Parallel Computing and Optimization Techniques (2 papers), Autonomous Vehicle Technology and Safety (2 papers), Adversarial Robustness in Machine Learning (2 papers) and Domain Adaptation and Few-Shot Learning (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (166 citations), Geology (22 citations), Environmental Engineering (50 citations), Instrumentation (11 citations) and Computer Graphics and Computer-Aided Design (9 citations). Rohit Mohan has collaborated with scholars based in India, Germany and Nigeria. Frequent co-authors include Abhinav Valada, Oscar Beijbom, Holger Caesar, Ángel Roco-Videla, Marc Azab, T. Vamsi Nagaraju, Temitope Funmilayo Awolusi, R. Malmathanraj, Siva Avudaiappan and S. Umamaheswari. Their work appears in journals such as IEEE Robotics and Automation Letters, Multimedia Tools and Applications, Case Studies in Construction Materials, International Journal of Computer Vision and Pattern Recognition Letters.

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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