E. Kiran Kumar

785 citations
30 papers · 511 · h-index 14

Impact in

Papers in

E. Kiran Kumar

26 papers receiving 479 citations

Peers

E. Kiran Kumar
Comparison fields: 5 of 60
  • Human-Computer Interaction 309
  • Computer Vision and Pattern Recognition 303
  • Developmental and Educational Psychology 145
  • Biomedical Engineering 192
  • Media Technology 21
Replace M. Teja Kiran Kumar with:
M. Teja Kiran Kumar India
Surendra Ranganath Singapore
Lionel Pigou Belgium
Zaid Omar Malaysia
Nam Le Switzerland
Congqi Cao China
J.H. Kim South Korea
Razieh Rastgoo Iran
Rinki Gupta India
E. Kiran Kumar relative to M. Teja Kiran Kumar India M. Teja Kiran Kumar's profile →
Citations per field
00.5×1.5×2.1×
M. Teja Kiran Kumar · 1×
Citations per year

Countries citing papers authored by E. Kiran Kumar

Since Specialization
Citations

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

Fields of papers citing papers by E. Kiran Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside E. Kiran 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 E. Kiran Kumar Line = papers co-authored together E. Kiran Kumar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201862
2 201861
3 201849
4 201945
5 201942
6 201837
7 201934
8 201825
9 201824
10 201821
11 202019
12 201817
13 201815
14 201814
15 201810
16 20157
17 20186
18 20204
19 20174
20 20193

About E. Kiran Kumar

E. Kiran Kumar is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction, Biomedical Engineering, Artificial Intelligence and Control and Systems Engineering, having authored 30 papers that have together received 511 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (22 papers), Hand Gesture Recognition Systems (18 papers), Gait Recognition and Analysis (13 papers), Video Surveillance and Tracking Methods (4 papers), Video Analysis and Summarization (3 papers), Human Motion and Animation (2 papers), Advanced Neural Network Applications (2 papers) and Anomaly Detection Techniques and Applications (2 papers). The work is most often cited by research in Human-Computer Interaction (309 citations), Computer Vision and Pattern Recognition (303 citations), Developmental and Educational Psychology (145 citations), Biomedical Engineering (192 citations) and Media Technology (21 citations). E. Kiran Kumar has collaborated with scholars based in India and United States. Frequent co-authors include P. V. V. Kishore, D. Anil Kumar, M. Teja Kiran Kumar, Ananth Sastry, Suman Maloji, G. Anantha Rao, Arun Solanki, P. Venkatesan, Darshika G. Perera and D. Mohan Reddy. Their work appears in journals such as IEEE Signal Processing Letters, Journal of King Saud University - Computer and Information Sciences, Multimedia Tools and Applications, Neurocomputing and IEEE Transactions on Multimedia.

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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