S. V. Aruna Kumar

32 total papers · 554 total citations
25 papers, 362 citations indexed

About

S. V. Aruna Kumar is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, S. V. Aruna Kumar has authored 25 papers receiving a total of 362 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 7 papers in Artificial Intelligence and 4 papers in Control and Systems Engineering. Recurrent topics in S. V. Aruna Kumar's work include Image Retrieval and Classification Techniques (7 papers), Face and Expression Recognition (6 papers) and Hand Gesture Recognition Systems (4 papers). S. V. Aruna Kumar is often cited by papers focused on Image Retrieval and Classification Techniques (7 papers), Face and Expression Recognition (6 papers) and Hand Gesture Recognition Systems (4 papers). S. V. Aruna Kumar collaborates with scholars based in India, Portugal and United States. S. V. Aruna Kumar's co-authors include Jakub Segen, B. S. Harish, Abhijit Das, Hugo Proença, V. N. Manjunath Aradhya, Žiga Emeršič, Peter Peer, Miguel A. Ferrer, Vitomir Štruc and J. Gluckman and has published in prestigious journals such as IEEE Access, Applied Soft Computing and IEEE Transactions on Information Forensics and Security.

In The Last Decade

S. V. Aruna Kumar

23 papers receiving 341 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
S. V. Aruna Kumar	219	133	73	42	37	25	362
Fengyi Song	192 0.9×	132 1.0×	36 0.5×	34 0.8×	30 0.8×	18	365
M. Teja Kiran Kumar	224 1.0×	209 1.6×	49 0.7×	40 1.0×	29 0.8×	18	357
Junaidi Abdullah	193 0.9×	136 1.0×	69 0.9×	35 0.8×	7 0.2×	46	381
Kishor Sarawadekar	232 1.1×	61 0.5×	47 0.6×	12 0.3×	28 0.8×	47	345
Phill Kyu Rhee	189 0.9×	76 0.6×	75 1.0×	31 0.7×	18 0.5×	40	358
Wenlong Hang	124 0.6×	63 0.5×	129 1.8×	21 0.5×	152 4.1×	25	371
Kha Gia Quach	290 1.3×	45 0.3×	52 0.7×	13 0.3×	9 0.2×	19	353
Dohyung Kim	282 1.3×	33 0.2×	113 1.5×	29 0.7×	10 0.3×	37	392
Na Rae Baek	247 1.1×	28 0.2×	73 1.0×	9 0.2×	19 0.5×	23	398
Hanchao Yu	105 0.5×	69 0.5×	127 1.7×	21 0.5×	66 1.8×	29	358

Countries citing papers authored by S. V. Aruna Kumar

Since Specialization

Citations

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

Fields of papers citing papers by S. V. Aruna Kumar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. V. Aruna Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of S. V. Aruna Kumar. A scholar is included among the top collaborators of S. V. Aruna Kumar based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with S. V. Aruna Kumar. S. V. Aruna Kumar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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