Roshan Dathathri
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Computer Networks and Communications top 5%
- Hardware and Architecture top 5%
- Information Systems top 5%
- Co-authors
- Gurbinder GillKeshav PingaliLoc HoangXuhao ChenMadanlal MusuvathiKristin LauterTodd MytkowiczOlli Saarikivi
- Topics
- Graph Theory and Algorithms (16 papers)Parallel Computing and Optimization Techniques (9 papers)Cloud Computing and Resource Management (7 papers)
- Partner nations
- United StatesIndiaChina
In The Last Decade
Roshan Dathathri
21 papers receiving 450 citations
Peers
Comparison fields: 5 of 34
- Artificial Intelligence 262
- Computer Vision and Pattern Recognition 258
- Computer Networks and Communications 165
- Hardware and Architecture 123
- Information Systems 122
Countries citing papers authored by Roshan Dathathri
This map shows the geographic impact of Roshan Dathathri'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 Roshan Dathathri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roshan Dathathri more than expected).
Fields of papers citing papers by Roshan Dathathri
This network shows the impact of papers produced by Roshan Dathathri. 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 Roshan Dathathri. The network helps show where Roshan Dathathri may publish in the future.
Co-authorship network of co-authors of Roshan Dathathri
This figure shows the co-authorship network connecting the top 25 collaborators of Roshan Dathathri. A scholar is included among the top collaborators of Roshan Dathathri 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 Roshan Dathathri. Roshan Dathathri is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 28 | |
| 3 | 8 | |
| 4 | 56 | |
| 5 | Pangolin: An Efficient and Flexible Graph Mining System on CPU and GPU | 4 |
| 6 | 18 | |
| 7 | 15 | |
| 8 | 125 | |
| 9 | 13 | |
| 10 | 15 | |
| 11 | 3 | |
| 12 | 16 | |
| 13 | 19 | |
| 14 | 76 | |
| 15 | 6 | |
| 16 | 1 | |
| 17 | 7 | |
| 18 | 15 | |
| 19 | 4 | |
| 20 | 20 |
About Roshan Dathathri
Roshan Dathathri is a scholar working on Hardware and Architecture, Computer Vision and Pattern Recognition and Computer Graphics and Computer-Aided Design, having authored 22 papers that have together received 456 indexed citations. Recurring topics across this work include Graph Theory and Algorithms (16 papers), Parallel Computing and Optimization Techniques (9 papers) and Cloud Computing and Resource Management (7 papers). The work is most often cited by research in Hardware and Architecture (123 citations), Computer Vision and Pattern Recognition (258 citations) and Artificial Intelligence (262 citations). Roshan Dathathri has collaborated with scholars based in United States, India and China. Frequent co-authors include Gurbinder Gill, Keshav Pingali, Loc Hoang, Xuhao Chen, Madanlal Musuvathi, Kristin Lauter, Todd Mytkowicz, Olli Saarikivi, Saeed Maleki and Hao Chen. Their work appears in journals such as Proceedings of the VLDB Endowment, ACM SIGPLAN Notices and ACM SIGOPS Operating Systems Review.
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.