Sayandeep Sen

1.1k total citations
32 papers, 811 citations indexed

About

Sayandeep Sen is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Sayandeep Sen has authored 32 papers receiving a total of 811 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Computer Networks and Communications, 15 papers in Electrical and Electronic Engineering and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Sayandeep Sen's work include Wireless Networks and Protocols (16 papers), Cooperative Communication and Network Coding (10 papers) and Mobile Ad Hoc Networks (9 papers). Sayandeep Sen is often cited by papers focused on Wireless Networks and Protocols (16 papers), Cooperative Communication and Network Coding (10 papers) and Mobile Ad Hoc Networks (9 papers). Sayandeep Sen collaborates with scholars based in United States, India and South Korea. Sayandeep Sen's co-authors include Bhaskaran Raman, Suman Banerjee, Kameswari Chebrolu, Shravan Rayanchu, Ping Xuan, Krithi Ramamritham, Naveen Santhapuri, Romit Roy Choudhury, Srihari Nelakuditi and Jesús Fernández-Conde and has published in prestigious journals such as IEEE/ACM Transactions on Networking, ACM SIGCOMM Computer Communication Review and IEEE Transactions on Mobile Computing.

In The Last Decade

Sayandeep Sen

30 papers receiving 774 citations

Peers

Sayandeep Sen
Comparison fields: 5 of 40
  • Computer Networks and Communications 702
  • Electrical and Electronic Engineering 430
  • Computer Vision and Pattern Recognition 70
  • Hardware and Architecture 44
  • Signal Processing 41
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Citations per field, relative to Sayandeep Sen
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Citations per year, relative to Sayandeep Sen
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Countries citing papers authored by Sayandeep Sen

Since Specialization
Citations

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

Fields of papers citing papers by Sayandeep Sen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sayandeep Sen

This figure shows the co-authorship network connecting the top 25 collaborators of Sayandeep Sen. A scholar is included among the top collaborators of Sayandeep Sen 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 Sayandeep Sen. Sayandeep Sen 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
# Work Indexed citations
1 1
2 4
3 26
4 1
5 1
6 46
7 9
8 8
9 37
10 30
11 5
12 9
13 38
14 15
15 58
16 136
17
Topology Planning for Long Distance Wireless Mesh Networks
7
18 10
19 4
20 94

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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