Arun Subramaniyan
- Electrical and Electronic Engineering top 5%
- Hardware and Architecture top 2%
- Materials Chemistry
- Mechanics of Materials top 5%
- Computer Networks and Communications top 5%
- Co-authors
- C. T. SunReetuparna DasC.T. SunDavid BlaauwJingcheng WangDennis SylvesterXiaowei WangCharles A. Eckert
- Topics
- Algorithms and Data Compression (12 papers)Probabilistic and Robust Engineering Design (12 papers)Parallel Computing and Optimization Techniques (9 papers)
- Journals
- Communications of the ACMIndustrial & Engineering Chemistry ResearchIEEE Journal of Solid-State Circuits
- Partner nations
- United StatesIndiaGermany
In The Last Decade
Arun Subramaniyan
51 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 95
- Electrical and Electronic Engineering 739
- Hardware and Architecture 446
- Materials Chemistry 346
- Mechanics of Materials 345
- Computer Networks and Communications 298
Countries citing papers authored by Arun Subramaniyan
This map shows the geographic impact of Arun Subramaniyan'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 Arun Subramaniyan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arun Subramaniyan more than expected).
Fields of papers citing papers by Arun Subramaniyan
This network shows the impact of papers produced by Arun Subramaniyan. 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 Arun Subramaniyan. The network helps show where Arun Subramaniyan may publish in the future.
Co-authorship network of co-authors of Arun Subramaniyan
This figure shows the co-authorship network connecting the top 25 collaborators of Arun Subramaniyan. A scholar is included among the top collaborators of Arun Subramaniyan 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 Arun Subramaniyan. Arun Subramaniyan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 15 | |
| 3 | 10 | |
| 4 | 1 | |
| 5 | 7 | |
| 6 | 147 | |
| 7 | 29 | |
| 8 | 113 | |
| 9 | 1 | |
| 10 | 4 | |
| 11 | 3 | |
| 12 | 18 | |
| 13 | 17 | |
| 14 | 5 | |
| 15 | 13 | |
| 16 | 3 | |
| 17 | 379 | |
| 18 | 27 | |
| 19 | 10 | |
| 20 | 117 |
About Arun Subramaniyan
Arun Subramaniyan is a scholar working on Statistics, Probability and Uncertainty, Hardware and Architecture and Artificial Intelligence, having authored 52 papers that have together received 1.9k indexed citations. Recurring topics across this work include Algorithms and Data Compression (12 papers), Probabilistic and Robust Engineering Design (12 papers) and Parallel Computing and Optimization Techniques (9 papers). The work is most often cited by research in Hardware and Architecture (446 citations), Mechanics of Materials (345 citations) and Computational Mathematics (8 citations). Arun Subramaniyan has collaborated with scholars based in United States, India and Germany. Frequent co-authors include C. T. Sun, Reetuparna Das, C.T. Sun, David Blaauw, Jingcheng Wang, Dennis Sylvester, Xiaowei Wang, Charles A. Eckert, Satish Narayanasamy and Shaizeen Aga. Their work appears in journals such as Communications of the ACM, Industrial & Engineering Chemistry Research and IEEE Journal of Solid-State Circuits.
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.