Raman Kumar

3.5k citations
84 papers · 2.3k · h-index 25

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

77 papers receiving 2.1k citations

Peers

Raman Kumar
Comparison fields: 5 of 106
  • Computer Vision and Pattern Recognition 1.3k
  • Finance 571
  • Accounting 460
  • Computer Graphics and Computer-Aided Design 77
  • Media Technology 171
Replace Zhi Jin with:
Zhi Jin China
Mi Luo United States
You Wu China
Jaewook Lee South Korea
Tan Wang China
Kyung‐shik Shin South Korea
Yuming Li China
L. F. Pau Denmark
Cuixia Jiang China
Raman Kumar relative to Zhi Jin China Zhi Jin's profile →
Citations per field
00.5×10×15.9×
Zhi 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 84 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002200
2 1999186
3 2002186
4 1998183
5 2000127
6 2001106
7 200294
8 201072
9 200263
10 200563
11 200260
12 200860
13 199259
14 200256
15 200247
16 200045
17 199542
18 200239
19 200237
20 200537

About Raman Kumar

Raman Kumar is a scholar working on Computer Vision and Pattern Recognition, Finance, Accounting, Artificial Intelligence and Computer Networks and Communications, having authored 84 papers that have together received 2.3k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (22 papers), Financial Markets and Investment Strategies (16 papers), Corporate Finance and Governance (16 papers), Auditing, Earnings Management, Governance (12 papers), Cryptography and Data Security (11 papers), Advanced Image and Video Retrieval Techniques (8 papers), Optical measurement and interference techniques (8 papers) and Robotics and Sensor-Based Localization (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.3k citations), Finance (571 citations), Accounting (460 citations), Computer Graphics and Computer-Aided Design (77 citations) and Media Technology (171 citations). Raman Kumar has collaborated with scholars based in United States, India and Latvia. Frequent co-authors include Harpreet Sawhney, Atulya Sarin, Hai Tao, Kuldeep Shastri, Don M. Chance, K. Hanna, S.T. Hsu, P. Anandan, Art Pope and Supun Samarasekera. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, The Journal of Finance, Wireless Personal Communications, 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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