Devabhaktuni Srikrishna

1.5k citations
18 papers · 875 · 1 hit paper · h-index 10

Impact in

Papers in

Devabhaktuni Srikrishna

15 papers receiving 759 citations

Devabhaktuni Srikrishna's Hit Papers

Baring it all to software: Raw machines 1997 · 424 citations
4240+9+19Years since publication100200300400

Peers

Devabhaktuni Srikrishna
Comparison fields: 5 of 73
  • Hardware and Architecture 583
  • Computer Networks and Communications 544
  • Artificial Intelligence 167
  • Computational Theory and Mathematics 72
  • Modeling and Simulation 18
Replace Robert Hood with:
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Banerjee United States
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James Rogers United States
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Citations per field
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Citations per year

Countries citing papers authored by Devabhaktuni Srikrishna

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 18 scholars most cited alongside Devabhaktuni Srikrishna, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Devabhaktuni Srikrishna Line = papers co-authored together Devabhaktuni Srikrishna links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1
Baring it all to software: Raw machines
Hit paper breakdown →
1997424
2 1998149
3 1996141
4 199834
5 201425
6 202221
7 200017
8 199916
9 201814
10 202113
11 20056
12 19984
13 20124
14 20243
15 20202
16 20211
17
Cyberwarfare: Surviving an Attack
20101
18 20250

About Devabhaktuni Srikrishna

Devabhaktuni Srikrishna is a scholar working on Computer Networks and Communications, Hardware and Architecture, Infectious Diseases, Pulmonary and Respiratory Medicine and Oncology, 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), Distributed and Parallel Computing Systems (3 papers), COVID-19 epidemiological studies (3 papers), Viral Infections and Outbreaks Research (3 papers), Infection Control and Ventilation (2 papers), Cancer Immunotherapy and Biomarkers (2 papers) and Embedded Systems Design Techniques (2 papers). The work is most often cited by research in Hardware and Architecture (583 citations), Computer Networks and Communications (544 citations), Artificial Intelligence (167 citations), Computational Theory and Mathematics (72 citations) and Modeling and Simulation (18 citations). Devabhaktuni Srikrishna has collaborated with scholars based in United States and Germany. Frequent co-authors include Saman Amarasinghe, Vivek Sarkar, Matthew I. Frank, Jonathan Babb, Rajeev Barua, Michael Taylor, John Preskill, Anant Agarwal, Jeehwan Kim and W. Lee. Their work appears in journals such as The Lancet Infectious Diseases, Nature Medicine, Computer, ACM SIGPLAN Notices and The Nonproliferation 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.

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