Krishna Kummamuru

26 total papers · 697 total citations
21 papers, 433 citations indexed

About

Krishna Kummamuru is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Krishna Kummamuru has authored 21 papers receiving a total of 433 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 9 papers in Information Systems and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Krishna Kummamuru's work include Advanced Clustering Algorithms Research (6 papers), Image Retrieval and Classification Techniques (5 papers) and Data Management and Algorithms (5 papers). Krishna Kummamuru is often cited by papers focused on Advanced Clustering Algorithms Research (6 papers), Image Retrieval and Classification Techniques (5 papers) and Data Management and Algorithms (5 papers). Krishna Kummamuru collaborates with scholars based in India, United States and Canada. Krishna Kummamuru's co-authors include Raghu Krishnapuram, Shourya Roy, Rohit Lotlikar, Sachindra Joshi, Bhushan Mandhani, Durga Toshniwal, Arun Chauhan, Prasad Deshpande, P Deepak and Jerome White and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, IBM Journal of Research and Development and Knowledge and Information Systems.

In The Last Decade

Krishna Kummamuru

21 papers receiving 403 citations

Author Peers

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

Author Last Decade Papers Cites
Krishna Kummamuru 306 160 150 96 32 21 433
Jinchao Ji 271 0.9× 105 0.7× 121 0.8× 95 1.0× 36 1.1× 23 436
Chuntao Jiang 182 0.6× 158 1.0× 145 1.0× 59 0.6× 39 1.2× 22 452
Jie Yu 229 0.7× 76 0.5× 170 1.1× 35 0.4× 44 1.4× 22 370
Kelvin Sim 217 0.7× 120 0.8× 117 0.8× 73 0.8× 48 1.5× 24 427
Bo Long 259 0.8× 96 0.6× 126 0.8× 50 0.5× 114 3.6× 23 405
Chunyu Yang 149 0.5× 83 0.5× 204 1.4× 135 1.4× 24 0.8× 23 382
Luchen Liu 275 0.9× 76 0.5× 232 1.5× 41 0.4× 57 1.8× 23 493
Fangli Xu 310 1.0× 172 1.1× 87 0.6× 25 0.3× 32 1.0× 17 398
Zhipeng Huang 251 0.8× 102 0.6× 88 0.6× 40 0.4× 113 3.5× 23 427
Xiaoxiao Shi 317 1.0× 56 0.3× 174 1.2× 33 0.3× 61 1.9× 25 431

Countries citing papers authored by Krishna Kummamuru

Since Specialization
Citations

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

Fields of papers citing papers by Krishna Kummamuru

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Krishna Kummamuru. 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 Krishna Kummamuru. The network helps show where Krishna Kummamuru may publish in the future.

Co-authorship network of co-authors of Krishna Kummamuru

This figure shows the co-authorship network connecting the top 25 collaborators of Krishna Kummamuru. A scholar is included among the top collaborators of Krishna Kummamuru 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 Krishna Kummamuru. Krishna Kummamuru 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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