Ashish V. Naik
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- Complexity and Algorithms in Graphs 10
- semigroups and automata theory 3
- Computability, Logic, AI Algorithms 3
- Artificial Intelligence top 10%
- Logic, Reasoning, and Knowledge 5
- Cryptography and Data Security 4
- Machine Learning and Algorithms 3
- Quantum Computing Algorithms and Architecture 2
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- Interconnection Networks and Systems 1
- Co-authors
- Alan L. SelmanMitsunori OgiharaLane A. HemaspaandraBalaji PrabhakarAmin VahdatYilong GengJohn D. RogersD. Sivakumar
- Cited by
- Computational Theory and MathematicsArtificial IntelligenceComputer Networks and Communications
- Journals
- SIAM Journal on Computing (1 paper)Theoretical Computer Science (2 papers)Journal of Computer and System Sciences (1 paper)
- Partner nations
- United StatesJapan
In The Last Decade
Ashish V. Naik
17 papers receiving 203 citations
Peers
Comparison fields: 5 of 31
- Computational Theory and Mathematics 146
- Artificial Intelligence 109
- Computer Networks and Communications 77
- Hardware and Architecture 14
- Discrete Mathematics and Combinatorics 5
Countries citing papers authored by Ashish V. Naik
This map shows the geographic impact of Ashish V. Naik'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 Ashish V. Naik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ashish V. Naik more than expected).
Fields of papers citing papers by Ashish V. Naik
This network shows the impact of papers produced by Ashish V. Naik. 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 Ashish V. Naik. The network helps show where Ashish V. Naik may publish in the future.
Co-authorship network
The 18 scholars most cited alongside Ashish V. Naik, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | {SIMON}: A Simple and Scalable Method for Sensing, Inference and Measurement in Data Center Networks | 2019 | 19 |
| 2 | Exploiting a natural network effect for scalable, fine-grained clock synchronization | 2018 | 44 |
| 3 | 2003 | 6 | |
| 4 | 2002 | 6 | |
| 5 | 2002 | 1 | |
| 6 | 2002 | 5 | |
| 7 | 1999 | 2 | |
| 8 | 1998 | 11 | |
| 9 | 1998 | 2 | |
| 10 | 1996 | 27 | |
| 11 | 1996 | 41 | |
| 12 | 1995 | 2 | |
| 13 | Bounded Truth Table Reductions of P | 1995 | 2 |
| 14 | 1995 | 18 | |
| 15 | Inverting Onto Functions | 1995 | 12 |
| 16 | 1995 | 18 | |
| 17 | Selectivity: Reductions, Nondeterminism, and Function Classes | 1993 | 2 |
About Ashish V. Naik
Ashish V. Naik is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Computer Graphics and Computer-Aided Design, having authored 17 papers that have together received 218 indexed citations. Recurring topics across this work include Complexity and Algorithms in Graphs (10 papers), Logic, Reasoning, and Knowledge (5 papers), Cryptography and Data Security (4 papers), Machine Learning and Algorithms (3 papers), semigroups and automata theory (3 papers), Computability, Logic, AI Algorithms (3 papers), Quantum Computing Algorithms and Architecture (2 papers) and Interconnection Networks and Systems (1 paper). The work is most often cited by research in Computational Theory and Mathematics (146 citations), Artificial Intelligence (109 citations) and Computer Networks and Communications (77 citations). Ashish V. Naik has collaborated with scholars based in United States and Japan. Frequent co-authors include Alan L. Selman, Mitsunori Ogihara, Lane A. Hemaspaandra, Balaji Prabhakar, Amin Vahdat, Yilong Geng, John D. Rogers, D. Sivakumar, Edith Hemaspaandra and Lance Fortnow. Their work appears in journals such as SIAM Journal on Computing, Theoretical Computer Science and Journal of Computer and System Sciences.
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.