Kiran Kumar Matam
- Computer Networks and Communications top 10%
- Hardware and Architecture top 5%
- Artificial Intelligence
- Computer Vision and Pattern Recognition
- Information Systems top 10%
- Co-authors
- Kishore KothapalliMurali AnnavaramHung‐Wei TsengGunjae KooViktor K. PrasannaJing LiSteven SwansonLu Sun
- Topics
- Parallel Computing and Optimization Techniques (8 papers)Graph Theory and Algorithms (5 papers)Interconnection Networks and Systems (3 papers)
- Journals
- Zenodo (CERN European Organization for Nuclear Research)
- Partner nations
- United StatesIndiaSouth Korea
In The Last Decade
Kiran Kumar Matam
12 papers receiving 210 citations
Peers
Comparison fields: 5 of 32
- Computer Networks and Communications 138
- Hardware and Architecture 119
- Artificial Intelligence 61
- Computer Vision and Pattern Recognition 49
- Information Systems 46
Countries citing papers authored by Kiran Kumar Matam
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 36 | |
| 3 | 67 | |
| 4 | 8 | |
| 5 | 2 | |
| 6 | 25 | |
| 7 | 6 | |
| 8 | Accelerating Sparse Matrix Kernels on Graphics Processing Units | 1 |
| 9 | Sparse Matrix Matrix Multiplication on Hybrid CPU+GPU Platforms | 6 |
| 10 | 33 | |
| 11 | 4 | |
| 12 | 32 |
About Kiran Kumar Matam
Kiran Kumar Matam is a scholar working on Hardware and Architecture, Computer Graphics and Computer-Aided Design and Computer Networks and Communications, having authored 12 papers that have together received 221 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (8 papers), Graph Theory and Algorithms (5 papers) and Interconnection Networks and Systems (3 papers). The work is most often cited by research in Hardware and Architecture (119 citations), Computer Networks and Communications (138 citations) and Computational Mathematics (3 citations). Kiran Kumar Matam has collaborated with scholars based in United States, India and South Korea. Frequent co-authors include Kishore Kothapalli, Murali Annavaram, Hung‐Wei Tseng, Gunjae Koo, Viktor K. Prasanna, Jing Li, Steven Swanson and Lu Sun. Their work appears in journals such as Zenodo (CERN European Organization for Nuclear Research).
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.