Sushant Sharma

28 total papers · 740 total citations
22 papers, 545 citations indexed

About

Sushant Sharma is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Information Systems. According to data from OpenAlex, Sushant Sharma has authored 22 papers receiving a total of 545 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Networks and Communications, 16 papers in Electrical and Electronic Engineering and 1 paper in Information Systems. Recurrent topics in Sushant Sharma's work include Cooperative Communication and Network Coding (10 papers), Advanced Wireless Communication Technologies (8 papers) and Full-Duplex Wireless Communications (7 papers). Sushant Sharma is often cited by papers focused on Cooperative Communication and Network Coding (10 papers), Advanced Wireless Communication Technologies (8 papers) and Full-Duplex Wireless Communications (7 papers). Sushant Sharma collaborates with scholars based in United States, India and United Kingdom. Sushant Sharma's co-authors include Sastry Kompella, Yi Shi, Y. Thomas Hou, Hanif D. Sherali, Wu-chun Feng, Dimitrios Katramatos, Chung‐Hsing Hsu, Dantong Yu, Y. Thomas Hou and Scott F. Midkiff and has published in prestigious journals such as IEEE/ACM Transactions on Networking, IEEE Transactions on Mobile Computing and Ad Hoc Networks.

In The Last Decade

Sushant Sharma

21 papers receiving 532 citations

Author Peers

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

Author Last Decade Papers Cites
Sushant Sharma 490 391 44 32 29 22 545
Teerawat Issariyakul 536 1.1× 342 0.9× 24 0.5× 10 0.3× 12 0.4× 19 580
Yawen Wei 414 0.8× 277 0.7× 80 1.8× 33 1.0× 49 1.7× 19 546
Amitabh Mishra 547 1.1× 249 0.6× 19 0.4× 16 0.5× 20 0.7× 31 598
Davit Harutyunyan 429 0.9× 315 0.8× 63 1.4× 14 0.4× 21 0.7× 18 523
Wanqing Guan 273 0.6× 383 1.0× 12 0.3× 13 0.4× 20 0.7× 34 589
Bin Hao 540 1.1× 366 0.9× 26 0.6× 12 0.4× 4 0.1× 22 594
R. Siracusa 509 1.0× 293 0.7× 17 0.4× 9 0.3× 11 0.4× 14 574
Sangho Yi 454 0.9× 203 0.5× 161 3.7× 21 0.7× 43 1.5× 23 521
Sachin Ganu 501 1.0× 278 0.7× 17 0.4× 11 0.3× 9 0.3× 11 565
Marco Di Girolamo 374 0.8× 442 1.1× 49 1.1× 18 0.6× 6 0.2× 12 569

Countries citing papers authored by Sushant Sharma

Since Specialization
Citations

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

Fields of papers citing papers by Sushant Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sushant Sharma

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