Kiran Kumar Matam

22 total papers · 493 total citations
12 papers, 219 citations indexed

About

Kiran Kumar Matam is a scholar working on Hardware and Architecture, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Kiran Kumar Matam has authored 12 papers receiving a total of 219 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Hardware and Architecture, 6 papers in Computer Networks and Communications and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Kiran Kumar Matam's work include Parallel Computing and Optimization Techniques (8 papers), Graph Theory and Algorithms (5 papers) and Interconnection Networks and Systems (3 papers). Kiran Kumar Matam is often cited by papers focused on Parallel Computing and Optimization Techniques (8 papers), Graph Theory and Algorithms (5 papers) and Interconnection Networks and Systems (3 papers). Kiran Kumar Matam collaborates with scholars based in United States, India and South Korea. Kiran Kumar Matam's co-authors include Kishore Kothapalli, Murali Annavaram, Hung‐Wei Tseng, Gunjae Koo, Viktor K. Prasanna, Steven Swanson, Jing Li and Lu Sun and has published in prestigious journals such as Zenodo (CERN European Organization for Nuclear Research).

In The Last Decade

Kiran Kumar Matam

12 papers receiving 208 citations

Author Peers

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

Author						Papers	Cites
Kiran Kumar Matam	136	119	59	46	46	12	219
Kadir Akbudak	94 0.7×	100 0.8×	36 0.6×	19 0.4×	34 0.7×	15	175
Tyler Smith	133 1.0×	185 1.6×	71 1.2×	13 0.3×	45 1.0×	13	256
Paolo D’Alberto	58 0.4×	98 0.8×	46 0.8×	28 0.6×	28 0.6×	16	174
Michael F. Ringenburg	127 0.9×	130 1.1×	86 1.5×	36 0.8×	63 1.4×	16	286
L. Snyder	189 1.4×	153 1.3×	34 0.6×	21 0.5×	18 0.4×	16	248
Mehdi Amini	102 0.8×	189 1.6×	117 2.0×	34 0.7×	48 1.0×	6	304
Trevor L. McDonell	136 1.0×	176 1.5×	84 1.4×	25 0.5×	17 0.4×	9	243
Benjamin Lipshitz	174 1.3×	188 1.6×	77 1.3×	31 0.7×	33 0.7×	14	266
David Lugato	110 0.8×	198 1.7×	108 1.8×	44 1.0×	64 1.4×	15	319
William S. Moses	89 0.7×	134 1.1×	42 0.7×	41 0.9×	23 0.5×	17	191

Countries citing papers authored by Kiran Kumar Matam

Since Specialization

Citations

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

Fields of papers citing papers by Kiran Kumar Matam

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kiran Kumar Matam

This figure shows the co-authorship network connecting the top 25 collaborators of Kiran Kumar Matam. A scholar is included among the top collaborators of Kiran Kumar Matam 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 Kiran Kumar Matam. Kiran Kumar Matam 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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