Sreepathi Pai

48 total papers · 898 total citations
30 papers, 642 citations indexed

About

Sreepathi Pai is a scholar working on Hardware and Architecture, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Sreepathi Pai has authored 30 papers receiving a total of 642 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Hardware and Architecture, 13 papers in Computer Networks and Communications and 10 papers in Computer Vision and Pattern Recognition. Recurrent topics in Sreepathi Pai's work include Parallel Computing and Optimization Techniques (20 papers), Graph Theory and Algorithms (10 papers) and Advanced Data Storage Technologies (9 papers). Sreepathi Pai is often cited by papers focused on Parallel Computing and Optimization Techniques (20 papers), Graph Theory and Algorithms (10 papers) and Advanced Data Storage Technologies (9 papers). Sreepathi Pai collaborates with scholars based in United States, India and Israel. Sreepathi Pai's co-authors include R. Govindarajan, Matthew J. Thazhuthaveetil, Keshav Pingali, Tal Ben‐Nun, Adwait Jog, Rashid Kaleem, Onur Kayıran, Chen Ding, Ashutosh Pattnaik and Chita R. Das and has published in prestigious journals such as ACM SIGPLAN Notices, Proceedings of the ACM on Programming Languages and Proceedings of the ACM on Measurement and Analysis of Computing Systems.

In The Last Decade

Sreepathi Pai

29 papers receiving 625 citations

Author Peers

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

Author						Papers	Cites
Sreepathi Pai	453	393	229	215	163	30	642
Rupesh Nasre	409 0.9×	346 0.9×	209 0.9×	198 0.9×	150 0.9×	49	626
Dimitrios Prountzos	365 0.8×	366 0.9×	212 0.9×	127 0.6×	141 0.9×	15	600
Mario Méndez-Lojo	403 0.9×	345 0.9×	198 0.9×	137 0.6×	188 1.2×	15	614
Ming Wu	185 0.4×	442 1.1×	193 0.8×	275 1.3×	135 0.8×	24	625
Roman Manevich	306 0.7×	323 0.8×	186 0.8×	190 0.9×	150 0.9×	18	591
Eddy Z. Zhang	438 1.0×	481 1.2×	73 0.3×	169 0.8×	97 0.6×	21	647
Seung-Jai Min	505 1.1×	497 1.3×	82 0.4×	174 0.8×	105 0.6×	23	682
Alexander Wieder	249 0.5×	511 1.3×	75 0.3×	301 1.4×	113 0.7×	18	674
Douglas Gregor	286 0.6×	274 0.7×	246 1.1×	266 1.2×	368 2.3×	25	761
Keval Vora	212 0.5×	252 0.6×	545 2.4×	263 1.2×	335 2.1×	32	656

Countries citing papers authored by Sreepathi Pai

Since Specialization

Citations

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

Fields of papers citing papers by Sreepathi Pai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sreepathi Pai

This figure shows the co-authorship network connecting the top 25 collaborators of Sreepathi Pai. A scholar is included among the top collaborators of Sreepathi Pai 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 Sreepathi Pai. Sreepathi Pai 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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