Devabhaktuni Srikrishna
- Hardware and Architecture top 1%
- Computer Networks and Communications top 2%
- Artificial Intelligence top 10%
- Electrical and Electronic Engineering
- Computational Theory and Mathematics top 10%
- Co-authors
- Saman AmarasingheMatthew I. FrankVivek SarkarJonathan BabbRajeev BaruaMichael TaylorJohn PreskillAnant Agarwal
- Topics
- Parallel Computing and Optimization Techniques (6 papers)Interconnection Networks and Systems (5 papers)COVID-19 epidemiological studies (3 papers)
- Partner nations
- United StatesGermany
In The Last Decade
Devabhaktuni Srikrishna
15 papers receiving 759 citations
Hit Papers
Peers
Comparison fields: 5 of 73
- Hardware and Architecture 583
- Computer Networks and Communications 544
- Artificial Intelligence 167
- Electrical and Electronic Engineering 135
- Computational Theory and Mathematics 72
Countries citing papers authored by Devabhaktuni Srikrishna
This map shows the geographic impact of Devabhaktuni Srikrishna'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 Devabhaktuni Srikrishna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Devabhaktuni Srikrishna more than expected).
Fields of papers citing papers by Devabhaktuni Srikrishna
This network shows the impact of papers produced by Devabhaktuni Srikrishna. 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 Devabhaktuni Srikrishna. The network helps show where Devabhaktuni Srikrishna may publish in the future.
Co-authorship network of co-authors of Devabhaktuni Srikrishna
This figure shows the co-authorship network connecting the top 25 collaborators of Devabhaktuni Srikrishna. A scholar is included among the top collaborators of Devabhaktuni Srikrishna 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 Devabhaktuni Srikrishna. Devabhaktuni Srikrishna 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 | 3 | |
| 3 | 21 | |
| 4 | 13 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 14 | |
| 8 | 25 | |
| 9 | 4 | |
| 10 | Cyberwarfare: Surviving an Attack | 1 |
| 11 | 6 | |
| 12 | 17 | |
| 13 | 16 | |
| 14 | 4 | |
| 15 | 34 | |
| 16 | 149 | |
| 17 | Baring it all to software: Raw machinesbreakdown → | 424 |
| 18 | 141 |
About Devabhaktuni Srikrishna
Devabhaktuni Srikrishna is a scholar working on Hardware and Architecture, Modeling and Simulation and Computer Networks and Communications, having authored 18 papers that have together received 875 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (6 papers), Interconnection Networks and Systems (5 papers) and COVID-19 epidemiological studies (3 papers). The work is most often cited by research in Hardware and Architecture (583 citations), Computer Networks and Communications (544 citations) and Artificial Intelligence (167 citations). Devabhaktuni Srikrishna has collaborated with scholars based in United States and Germany. Frequent co-authors include Saman Amarasinghe, Matthew I. Frank, Vivek Sarkar, Jonathan Babb, Rajeev Barua, Michael Taylor, John Preskill, Anant Agarwal, П. Д. Финч and Jeehwan Kim. Their work appears in journals such as The Lancet, Nature Medicine and The Science of The Total Environment.
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.