Sriram Srinivasan

3.0k total citations · 1 hit paper
72 papers, 1.4k citations indexed

About

Sriram Srinivasan is a scholar working on Artificial Intelligence, Signal Processing and Computational Mechanics. According to data from OpenAlex, Sriram Srinivasan has authored 72 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Artificial Intelligence, 29 papers in Signal Processing and 18 papers in Computational Mechanics. Recurrent topics in Sriram Srinivasan's work include Speech and Audio Processing (25 papers), Advanced Adaptive Filtering Techniques (18 papers) and Complex Network Analysis Techniques (12 papers). Sriram Srinivasan is often cited by papers focused on Speech and Audio Processing (25 papers), Advanced Adaptive Filtering Techniques (18 papers) and Complex Network Analysis Techniques (12 papers). Sriram Srinivasan collaborates with scholars based in United States, India and Netherlands. Sriram Srinivasan's co-authors include W. Bastiaan Kleijn, J. Samuelsson, Georg Ostrovski, Tom Schaul, David Saxton, Rémi Munos, Marc G. Bellemare, Sanjukta Bhowmick, Sheetal Gaiki and Yong Guo and has published in prestigious journals such as Scientific Reports, The Journal of the Acoustical Society of America and Machine Learning.

In The Last Decade

Sriram Srinivasan

66 papers receiving 1.3k citations

Hit Papers

Unifying count-based exploration and intrinsic motivation 2016 2026 2019 2022 2016 50 100 150 200 250
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.

  1. Unifying count-based exploration and intrinsic motivation
    2016 280 citations Marc G. Bellemare, Sriram Srinivasan et al. Neural Information Processing Systems profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sriram Srinivasan United States 17 633 507 307 165 149 72 1.4k
Amin Karbasi United States 17 513 0.8× 106 0.2× 110 0.4× 139 0.8× 104 0.7× 80 1.1k
David S. Pallett United States 14 1.1k 1.7× 798 1.6× 133 0.4× 58 0.4× 211 1.4× 34 1.6k
Mohammad Eshghi Iran 19 532 0.8× 134 0.3× 77 0.3× 570 3.5× 374 2.5× 137 1.5k
Christopher Morris United States 14 566 0.9× 44 0.1× 153 0.5× 78 0.5× 447 3.0× 35 1.3k
Xiaomei Yu China 16 600 0.9× 109 0.2× 27 0.1× 76 0.5× 259 1.7× 66 1.1k
Shenghong Li China 21 461 0.7× 95 0.2× 42 0.1× 326 2.0× 390 2.6× 170 1.6k
Binghui Wang United States 19 922 1.5× 221 0.4× 21 0.1× 70 0.4× 206 1.4× 68 1.4k
H. Vicky Zhao China 19 219 0.3× 233 0.5× 41 0.1× 105 0.6× 577 3.9× 111 1.2k
Shao‐Lun Huang China 19 423 0.7× 104 0.2× 32 0.1× 203 1.2× 250 1.7× 117 1.2k
F.M.A. Salam United States 15 390 0.6× 220 0.4× 46 0.1× 162 1.0× 85 0.6× 125 885

Countries citing papers authored by Sriram Srinivasan

Since Specialization
Citations

This map shows the geographic impact of Sriram Srinivasan'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 Sriram Srinivasan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sriram Srinivasan more than expected).

Fields of papers citing papers by Sriram Srinivasan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sriram Srinivasan. 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 Sriram Srinivasan. The network helps show where Sriram Srinivasan may publish in the future.

Co-authorship network of co-authors of Sriram Srinivasan

This figure shows the co-authorship network connecting the top 25 collaborators of Sriram Srinivasan. A scholar is included among the top collaborators of Sriram Srinivasan 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 Sriram Srinivasan. Sriram Srinivasan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Srinivasan, Sriram, et al.. (2023). Improving Node Classification Accuracy of GNN through Input and Output Intervention. ACM Transactions on Knowledge Discovery from Data. 18(1). 1–31. 3 indexed citations
3.
Srinivasan, Sriram & Hasan Demirel. (2022). Quantifying Vision Obscuration of A-Pillar Concept Variants Using Digital Human Modeling. 2 indexed citations
4.
Srinivasan, Sriram, et al.. (2021). A Parallel Algorithm Template for Updating Single-Source Shortest Paths in Large-Scale Dynamic Networks. IEEE Transactions on Parallel and Distributed Systems. 33(4). 929–940. 18 indexed citations
5.
Babu, K. Ganesh, et al.. (2021). Experimental investigation on surface roughness and cutting tool – Workpiece interface temperature for AA6061 using CRITIC and TOPSIS techniques. Materials Today Proceedings. 47. 6858–6863. 6 indexed citations
6.
Srinivasan, Sriram, et al.. (2020). Joint Estimation of User And Publisher Credibility for Fake News Detection. 1993–1996. 14 indexed citations
7.
Mahajan, Ravi, et al.. (2019). Embedded Multidie Interconnect Bridge—A Localized, High-Density Multichip Packaging Interconnect. IEEE Transactions on Components Packaging and Manufacturing Technology. 9(10). 1952–1962. 67 indexed citations
8.
Chandrasekhar, Arun G., et al.. (2019). Server CPU Package Design Using PoINT Architecture. 2180–2185. 1 indexed citations
9.
Srinivasan, Sriram, et al.. (2018). Single-Source Shortest Path Tree for Big Dynamic Graphs. 4054–4062. 4 indexed citations
10.
Bellemare, Marc G., Sriram Srinivasan, Georg Ostrovski, et al.. (2016). Unifying count-based exploration and intrinsic motivation. Neural Information Processing Systems. 29. 1479–1487. 280 indexed citations breakdown →
11.
Chakraborty, Tanmoy, Sriram Srinivasan, Niloy Ganguly, Sanjukta Bhowmick, & Animesh Mukherjee. (2013). Constant Communities in Complex Networks. Scientific Reports. 3(1). 1825–1825. 28 indexed citations
12.
Srinivasan, Sriram, et al.. (2013). Utility of auxiliary sensor data for speech enhancement. 7294–7298. 1 indexed citations
13.
Srinivasan, Sriram, Ashish Pandharipande, & David Caicedo. (2012). Presence detection using wideband audio-ultrasound sensor. Electronics Letters. 48(25). 1577–1578. 4 indexed citations
14.
Singhose, William, et al.. (2010). Positioning and control of boom crane luffing with double-pendulum payloads. 1. 1319–1324. 1 indexed citations
15.
Srinivasan, Sriram, et al.. (2008). Spatial audio activity detection for hearing aids. Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing. 4021–4024. 5 indexed citations
16.
Srinivasan, Sriram, et al.. (2008). Effect of quantization on beamforming in binaural hearing aids. 1 indexed citations
17.
Srinivasan, Sriram, et al.. (2004). Robust spectrum quantization for LP parameter enhancement. European Signal Processing Conference. 1951–1954. 4 indexed citations
18.
Srinivasan, Sriram, et al.. (2003). Speech enhancement using a-priori information. 1405–1408. 14 indexed citations
19.
Srinivasan, Sriram & David B. Stewart. (2002). High speed hardware-assisted real-time interprocess communication for embedded microcontrollers. 269–279. 10 indexed citations
20.
Bhatnagar, Raj & Sriram Srinivasan. (1997). Pattern discovery in distributed databases. National Conference on Artificial Intelligence. 39(1). 503–508. 13 indexed citations

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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