Raman Kumar

3.5k citations
89 papers · 2.3k · h-index 24

Impact in

    • Advanced Vision and Imaging
    • Advanced Image and Video Retrieval Techniques
    • Video Surveillance and Tracking Methods
    • Advanced Image Processing Techniques
  • Finance top 1%
    • Financial Markets and Investment Strategies

Papers in

Raman Kumar

78 papers receiving 2.1k citations

Peers

Raman Kumar
Comparison fields: 5 of 106
  • Computer Vision and Pattern Recognition 1.5k
  • Finance 424
  • Accounting 350
  • Computer Graphics and Computer-Aided Design 83
  • Media Technology 187
Replace Zhi Juan Jin with:
Zhi Juan Jin China
Mark Cummins Ireland
Yizhi Wang China
Jaewook Lee South Korea
Mi Luo United States
L. F. Pau Denmark
Tan Wang China
Kyung‐shik Shin South Korea
Adriano L. I. Oliveira Brazil
Raman Kumar relative to Zhi Juan Jin China Zhi Juan Jin's profile →
Citations per field
00.5×5×10.9×
Zhi Juan Jin · 1×
Citations per year

Countries citing papers authored by Raman Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Raman Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002219
2 2002216
3 1999202
4 1998131
5 2001126
6 200299
7 200093
8 201074
9 200570
10 200268
11 200266
12 200058
13 200257
14 199250
15 200249
16 200249
17 200843
18 200542
19 200239
20 200539

About Raman Kumar

Raman Kumar is a scholar working on Computer Vision and Pattern Recognition, Finance, Accounting, Information Systems and Artificial Intelligence, having authored 89 papers that have together received 2.3k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (22 papers), Corporate Finance and Governance (14 papers), Cryptography and Data Security (14 papers), Financial Markets and Investment Strategies (12 papers), Auditing, Earnings Management, Governance (11 papers), Advanced Image and Video Retrieval Techniques (8 papers), Robotics and Sensor-Based Localization (8 papers) and Optical measurement and interference techniques (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.5k citations), Finance (424 citations), Accounting (350 citations), Computer Graphics and Computer-Aided Design (83 citations) and Media Technology (187 citations). Raman Kumar has collaborated with scholars based in India, United States and Latvia. Frequent co-authors include Harpreet Sawhney, Hai Tao, Atulya Sarin, Kattreen Hanna, Kuldeep Shastri, S.T. Hsu, Don M. Chance, P. Anandan, Yanlin Guo and Art Pope. Their work appears in journals such as Wireless Personal Communications, IEEE Transactions on Pattern Analysis and Machine Intelligence, Pacific-Basin Finance Journal, Review of Quantitative Finance and Accounting and Financial Review.

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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