Sahil Suneja

46 total papers · 698 total citations
32 papers, 434 citations indexed

About

Sahil Suneja is a scholar working on Information Systems, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, Sahil Suneja has authored 32 papers receiving a total of 434 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Information Systems, 22 papers in Computer Networks and Communications and 12 papers in Signal Processing. Recurrent topics in Sahil Suneja's work include Cloud Computing and Resource Management (16 papers), Software System Performance and Reliability (14 papers) and Advanced Malware Detection Techniques (12 papers). Sahil Suneja is often cited by papers focused on Cloud Computing and Resource Management (16 papers), Software System Performance and Reliability (14 papers) and Advanced Malware Detection Techniques (12 papers). Sahil Suneja collaborates with scholars based in United States, Canada and South Korea. Sahil Suneja's co-authors include Canturk Isci, Eyal de Lara, Nilton Bila, Vasanth Bala, Ibrahim M. Elfadel, Prabhakar Kudva, Hai Huang, James P. Gleeson, Alec Wolman and Stefan Saroiu and has published in prestigious journals such as IEEE Transactions on Parallel and Distributed Systems, IBM Journal of Research and Development and ACM SIGPLAN Notices.

In The Last Decade

Sahil Suneja

30 papers receiving 414 citations

Author Peers

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

Author						Papers	Cites
Sahil Suneja	268	256	183	149	41	32	434
Jingzheng Wu	177 0.7×	250 1.0×	249 1.4×	244 1.6×	20 0.5×	39	494
Ilir Gashi	291 1.1×	163 0.6×	118 0.6×	138 0.9×	24 0.6×	39	404
Nora Cuppens	255 1.0×	148 0.6×	136 0.7×	140 0.9×	50 1.2×	46	381
Errin W. Fulp	359 1.3×	155 0.6×	154 0.8×	129 0.9×	84 2.0×	40	450
Christian Wressnegger	196 0.7×	204 0.8×	222 1.2×	277 1.9×	20 0.5×	32	443
Chung Hwan Kim	162 0.6×	136 0.5×	207 1.1×	188 1.3×	63 1.5×	25	402
Christoforos Ntantogian	181 0.7×	218 0.9×	125 0.7×	168 1.1×	21 0.5×	45	392
Yoshihiro Oyama	243 0.9×	198 0.8×	255 1.4×	256 1.7×	63 1.5×	27	417
Antoine Delignat-Lavaud	179 0.7×	200 0.8×	286 1.6×	120 0.8×	29 0.7×	18	405
Cataldo Basile	246 0.9×	128 0.5×	155 0.8×	109 0.7×	82 2.0×	40	383

Countries citing papers authored by Sahil Suneja

Since Specialization

Citations

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

Fields of papers citing papers by Sahil Suneja

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sahil Suneja

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