Arun Subramaniyan

81 total papers · 2.5k total citations
52 papers, 1.9k citations indexed

About

Arun Subramaniyan is a scholar working on Artificial Intelligence, Statistics, Probability and Uncertainty and Hardware and Architecture. According to data from OpenAlex, Arun Subramaniyan has authored 52 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 13 papers in Statistics, Probability and Uncertainty and 11 papers in Hardware and Architecture. Recurrent topics in Arun Subramaniyan's work include Probabilistic and Robust Engineering Design (12 papers), Algorithms and Data Compression (12 papers) and Parallel Computing and Optimization Techniques (9 papers). Arun Subramaniyan is often cited by papers focused on Probabilistic and Robust Engineering Design (12 papers), Algorithms and Data Compression (12 papers) and Parallel Computing and Optimization Techniques (9 papers). Arun Subramaniyan collaborates with scholars based in United States, India and Germany. Arun Subramaniyan's 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 Supreet Jeloka and has published in prestigious journals such as Communications of the ACM, Industrial & Engineering Chemistry Research and IEEE Journal of Solid-State Circuits.

In The Last Decade

Arun Subramaniyan

51 papers receiving 1.8k citations

Hit Papers

normalize citations (0→100%) normalize lifespan (0→100%) sort by overperformance

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Arun Subramaniyan	730	440	345	341	294	52	1.9k
Karthik Ramani	226 0.3×	145 0.3×	178 0.5×	418 1.2×	151 0.5×	114	1.5k
Haralampos Pozidis	1.3k 1.8×	176 0.4×	735 2.1×	58 0.2×	424 1.4×	94	2.1k
Raymond Bayer	115 0.2×	258 0.6×	202 0.6×	475 1.4×	1.0k 3.5×	84	2.3k
Jung‐Ho Park	694 1.0×	82 0.2×	155 0.4×	144 0.4×	139 0.5×	125	1.9k
Liang Shi	702 1.0×	81 0.2×	309 0.9×	54 0.2×	300 1.0×	79	2.1k
Diego P. Morales	905 1.2×	72 0.2×	306 0.9×	47 0.1×	122 0.4×	132	1.8k
Kazuaki Yazawa	723 1.0×	287 0.7×	1.5k 4.3×	80 0.2×	237 0.8×	134	2.6k
Ralph K. Cavin	1.8k 2.5×	214 0.5×	408 1.2×	22 0.1×	207 0.7×	111	2.7k
Wenjian Yu	1.1k 1.5×	176 0.4×	152 0.4×	47 0.1×	89 0.3×	175	1.9k
Wei Huang	2.2k 2.9×	1.6k 3.6×	154 0.4×	353 1.0×	854 2.9×	58	3.2k

Countries citing papers authored by Arun Subramaniyan

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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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