S. Ravi Kumar

652 total citations
12 papers, 412 citations indexed

About

S. Ravi Kumar is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, S. Ravi Kumar has authored 12 papers receiving a total of 412 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computational Theory and Mathematics, 5 papers in Artificial Intelligence and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in S. Ravi Kumar's work include Complexity and Algorithms in Graphs (6 papers), Advanced Image and Video Retrieval Techniques (4 papers) and Image Retrieval and Classification Techniques (4 papers). S. Ravi Kumar is often cited by papers focused on Complexity and Algorithms in Graphs (6 papers), Advanced Image and Video Retrieval Techniques (4 papers) and Image Retrieval and Classification Techniques (4 papers). S. Ravi Kumar collaborates with scholars based in United States. S. Ravi Kumar's co-authors include Mandar Mitra, Jing Huang, Wei-Jing Zhu, Ramin Zabih, Jing Huang, Funda Ergün, Ronitt Rubinfeld, Weijing Zhu, Sampath Kannan and Mahesh Viswanathan and has published in prestigious journals such as International Journal of Computer Vision, SIAM Journal on Computing and EURASIP Journal on Advances in Signal Processing.

In The Last Decade

S. Ravi Kumar

11 papers receiving 365 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
S. Ravi Kumar United States	7	319	85	82	47	32	12	412
Sung-Wen Wang Taiwan	6	171 0.5×	57 0.7×	25 0.3×	28 0.6×	50 1.6×	10	242
F. Deguillaume Switzerland	11	504 1.6×	38 0.4×	29 0.4×	25 0.5×	64 2.0×	24	522
Wenjie Zhou China	11	326 1.0×	118 1.4×	25 0.3×	38 0.8×	20 0.6×	18	466
Huaijun Qiu China	4	112 0.4×	85 1.0×	11 0.1×	36 0.8×	33 1.0×	9	204
Poulami Das India	11	115 0.4×	190 2.2×	23 0.3×	54 1.1×	25 0.8×	30	350
A. Swaminathan United States	7	628 2.0×	34 0.4×	106 1.3×	7 0.1×	48 1.5×	10	676
Daniel Socek United States	10	356 1.1×	170 2.0×	15 0.2×	50 1.1×	29 0.9×	22	438
Fang Cao China	11	415 1.3×	46 0.5×	45 0.5×	8 0.2×	85 2.7×	44	528
Thijs Laarhoven Netherlands	8	119 0.4×	144 1.7×	8 0.1×	31 0.7×	22 0.7×	13	236
Milad Jafari Barani Iran	11	567 1.8×	84 1.0×	22 0.3×	64 1.4×	41 1.3×	17	614

Countries citing papers authored by S. Ravi Kumar

Since Specialization

Citations

This map shows the geographic impact of S. Ravi 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. Ravi 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. Ravi Kumar more than expected).

Fields of papers citing papers by S. Ravi Kumar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Ravi Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of S. Ravi Kumar. A scholar is included among the top collaborators of S. Ravi 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. Ravi Kumar. S. Ravi Kumar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

12 of 12 papers shown

1.

Kumar, S. Ravi. (2015). Unpacking the Meaning of "Evidence" in Health Care. NSUWorks (Nova Southeastern University). 13(1). 4. 2 indexed citations

2.

Kumar, S. Ravi, et al.. (2009). Minimal Prime Ideals in Almost Distributive Lattices. 7 indexed citations

3.

Huang, Jing, S. Ravi Kumar, & Ramin Zabih. (2003). Automatic Hierarchical Color Image Classification. EURASIP Journal on Advances in Signal Processing. 2003(2).

4.

Kumar, S. Ravi & D. Sivakumar. (2002). Efficient self-testing/self-correction of linear recurrences. 602–611. 1 indexed citations

5.

Ergün, Funda, S. Ravi Kumar, & Ronitt Rubinfeld. (2002). Approximate checking of polynomials and functional equations. 592–601. 9 indexed citations

6.

Huang, Jing, S. Ravi Kumar, Mandar Mitra, & Weijing Zhu. (2002). Spatial color indexing and applications. 602–607. 44 indexed citations

7.

Ergün, Funda, S. Ravi Kumar, & Ronitt Rubinfeld. (2001). Checking Approximate Computations of Polynomials and Functional Equations. SIAM Journal on Computing. 31(2). 550–576. 2 indexed citations

8.

Ergün, Funda, S. Ravi Kumar, & D. Sivakumar. (2000). Self-Testing without the Generator Bottleneck. SIAM Journal on Computing. 29(5). 1630–1651. 6 indexed citations

9.

Huang, Jing, S. Ravi Kumar, Mandar Mitra, Wei-Jing Zhu, & Ramin Zabih. (1999). Spatial Color Indexing and Applications. International Journal of Computer Vision. 35(3). 245–268. 191 indexed citations

10.

Ergün, Funda, Sampath Kannan, S. Ravi Kumar, Ronitt Rubinfeld, & Mahesh Viswanathan. (1998). Spot-checkers. 259–268. 37 indexed citations

11.

Huang, Jing, S. Ravi Kumar, & Mandar Mitra. (1997). Combining supervised learning with color correlograms for content-based image retrieval. 325–334. 99 indexed citations

12.

Ergün, Funda, S. Ravi Kumar, & Ronitt Rubinfeld. (1995). On learning bounded-width branching programs. 361–368. 14 indexed citations

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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