Arun Subramaniyan

2.5k total citations · 1 hit paper
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 Algorithms and Data Compression (12 papers), Probabilistic and Robust Engineering Design (12 papers) and Parallel Computing and Optimization Techniques (9 papers). Arun Subramaniyan is often cited by papers focused on Algorithms and Data Compression (12 papers), Probabilistic and Robust Engineering Design (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 Shaizeen Aga 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

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Compute Caches

2017 232 citations Arun Subramaniyan, Satish Narayanasamy et al. profile →

Peers

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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20 of 20 papers shown

#	Work	Indexed citations
1	GenDP: A Framework of Dynamic Programming Acceleration for Genome Sequencing Analysis 2023 ·Zenodo (CERN European Organization for Nuclear Research) ·(unknown), Arun Subramaniyan, (unknown), (unknown), (unknown), Somnath Paul, (unknown), Sanchit Misra, David Blaauw, Satish Narayanasamy, Reetuparna Das	6
2	Accelerated Seeding for Genome Sequence Alignment with Enumerated Radix Trees 2021 ·Arun Subramaniyan, Jack Wadden, (unknown), (unknown), Xiao Wu, Satish Narayanasamy, David Blaauw, Reetuparna Das	15
3	In-/Near-Memory Computing 2021 ·Daichi Fujiki, Xiaowei Wang, Arun Subramaniyan, Reetuparna Das	10
4	A 2.46M Reads/s Seed-Extension Accelerator for Next-Generation Sequencing Using a String-Independent PE Array 2020 ·IEEE Journal of Solid-State Circuits ·Zhehong Wang, Tianjun Zhang, Daichi Fujiki, Arun Subramaniyan, Xiao Wu, Makoto Yasuda, Satoru Miyoshi, (unknown), Reetuparna Das, Satish Narayanasamy, David Blaauw	1
5	A High-Throughput Pruning-Based Pair-Hidden-Markov-Model Hardware Accelerator for Next-Generation DNA Sequencing 2020 ·IEEE Solid-State Circuits Letters ·Xiao Wu, Arun Subramaniyan, Zhehong Wang, Satish Narayanasamy, Reetuparna Das, David Blaauw	7
6	A 28-nm Compute SRAM With Bit-Serial Logic/Arithmetic Operations for Programmable In-Memory Vector Computing 2019 ·IEEE Journal of Solid-State Circuits ·Jingcheng Wang, Xiaowei Wang, Charles A. Eckert, Arun Subramaniyan, Reetuparna Das, David Blaauw, Dennis Sylvester	147
7	Parallel Automata Processor 2017 ·Arun Subramaniyan, Reetuparna Das	29
8	Validation of a peridynamic model for fatigue cracking 2016 ·Engineering Fracture Mechanics ·(unknown), (unknown), Adrian Loghin, Arun Subramaniyan, Florin Bobaru	113
9	Reduced order modeling for clearance control in turbomachinery 2016 ·Emrah Bıyık, (unknown), Arun Subramaniyan, (unknown)	1
10	Application-Guided Power-Efficient Fault Tolerance for H.264 Context Adaptive Variable Length Coding 2016 ·IEEE Transactions on Computers ·Muhammad Shafique, Semeen Rehman, Florian Kriebel, Muhammad Usman Karim Khan, Bruno Zatt, Arun Subramaniyan, (unknown), Jörg Henkel	4
11	Probabilistic Validation of Complex Engineering Simulations With Sparse Data 2014 ·Arun Subramaniyan, Natarajan Chennimalai Kumar, Liping Wang	3
12	Calibrating Transient Models With Multiple Responses Using Bayesian Inverse Techniques 2013 ·Natarajan Chennimalai Kumar, Arun Subramaniyan, Liping Wang, (unknown)	18
13	Improving High-Dimensional Physics Models Through Bayesian Calibration With Uncertain Data 2012 ·Natarajan Chennimalai Kumar, Arun Subramaniyan, Liping Wang	17
14	Multimodal Particle Swarm Optimization: Enhancements and Applications 2012 ·12th AIAA Aviation Technology, Integration, and Operations (ATIO) Conference and 14th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference ·Gulshan Singh, Felipe Viana, Arun Subramaniyan, Liping Wang, (unknown), (unknown), (unknown)	5
15	Challenges in Uncertainty, Calibration, Validation and Predictability of Engineering Analysis Models 2011 ·Liping Wang, (unknown), Arun Subramaniyan, (unknown), Martha Gardner, Amit Kale, (unknown), (unknown), (unknown), John P. Nelson	13
16	A Comparative Study on Accuracy and Efficiency of Metamodels for Large Industrial Datasets 2011 ·Arun Subramaniyan, Liping Wang, (unknown), J. Stuart Nelson, Richard C. Berg, (unknown)	3
17	Continuum interpretation of virial stress in molecular simulations 2008 ·International Journal of Solids and Structures ·Arun Subramaniyan, C. T. Sun	379
18	Interlaminar Fracture Behavior of Nanoclay Reinforced Glass Fiber Composites 2008 ·Journal of Composite Materials ·Arun Subramaniyan, C.T. Sun	27
19	Engineering molecular mechanics: an efficient static high temperature molecular simulation technique 2008 ·Nanotechnology ·Arun Subramaniyan, (unknown)	10
20	Enhancing compressive strength of unidirectional polymeric composites using nanoclay 2006 ·Composites Part A Applied Science and Manufacturing ·Arun Subramaniyan, C.T. Sun	117

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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