Sundeep Pattem

17 total papers · 1.0k total citations
12 papers, 534 citations indexed

About

Sundeep Pattem is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Computational Mechanics. According to data from OpenAlex, Sundeep Pattem has authored 12 papers receiving a total of 534 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Networks and Communications, 4 papers in Computer Vision and Pattern Recognition and 3 papers in Computational Mechanics. Recurrent topics in Sundeep Pattem's work include Energy Efficient Wireless Sensor Networks (11 papers), Advanced Data Compression Techniques (4 papers) and Mobile Ad Hoc Networks (3 papers). Sundeep Pattem is often cited by papers focused on Energy Efficient Wireless Sensor Networks (11 papers), Advanced Data Compression Techniques (4 papers) and Mobile Ad Hoc Networks (3 papers). Sundeep Pattem collaborates with scholars based in United States, Israel and Ireland. Sundeep Pattem's co-authors include Bhaskar Krishnamachari, Kristina Lerman, Aram Galstyan, Antonio Ortega, Sameera Poduri, Gaurav S. Sukhatme, Ramesh Govindan, Godwin Shen, Avinash Sridharan and Marco Zúñiga and has published in prestigious journals such as ACM SIGCOMM Computer Communication Review, IEEE Transactions on Mobile Computing and ACM Transactions on Sensor Networks.

In The Last Decade

Sundeep Pattem

12 papers receiving 500 citations

Author Peers

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

Author Last Decade Papers Cites
Sundeep Pattem 395 351 154 58 52 12 534
Tzu-Chen Liang 187 0.5× 306 0.9× 147 1.0× 98 1.7× 117 2.3× 12 499
Hanbiao Wang 391 1.0× 223 0.6× 40 0.3× 28 0.5× 37 0.7× 12 511
Sameera Poduri 486 1.2× 200 0.6× 70 0.5× 13 0.2× 82 1.6× 12 557
Daowei Bi 340 0.9× 236 0.7× 35 0.2× 12 0.2× 71 1.4× 24 491
Paul Congdon 271 0.7× 390 1.1× 117 0.8× 11 0.2× 41 0.8× 10 530
Enyang Xu 270 0.7× 388 1.1× 109 0.7× 25 0.4× 11 0.2× 10 459
Peter Grant 389 1.0× 306 0.9× 23 0.1× 20 0.3× 29 0.6× 15 579
Anindya S. Paul 103 0.3× 269 0.8× 109 0.7× 20 0.3× 78 1.5× 22 447
Jay Warrior 402 1.0× 303 0.9× 31 0.2× 17 0.3× 177 3.4× 12 564
Riccardo Masiero 382 1.0× 322 0.9× 215 1.4× 258 4.4× 22 0.4× 15 583

Countries citing papers authored by Sundeep Pattem

Since Specialization
Citations

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

Fields of papers citing papers by Sundeep Pattem

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sundeep Pattem

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