Supratik Bhattacharyya

4.9k citations
60 papers · 3.2k indexed · h-index 25
Topics
Network Traffic and Congestion Control (33 papers)Software-Defined Networks and 5G (16 papers)Advanced Optical Network Technologies (11 papers)

In The Last Decade

Supratik Bhattacharyya

53 papers receiving 2.9k citations

Peers

Supratik Bhattacharyya
Comparison fields: 5 of 83
  • Computer Networks and Communications 2.9k
  • Electrical and Electronic Engineering 1.0k
  • Artificial Intelligence 795
  • Hardware and Architecture 253
  • Signal Processing 189
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Citations per field
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Countries citing papers authored by Supratik Bhattacharyya

Since Specialization
Citations

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

Fields of papers citing papers by Supratik Bhattacharyya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Supratik Bhattacharyya

This figure shows the co-authorship network connecting the top 25 collaborators of Supratik Bhattacharyya. A scholar is included among the top collaborators of Supratik Bhattacharyya 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 Supratik Bhattacharyya. Supratik Bhattacharyya 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
#WorkIndexed citations
1 2
2 1
3 0
4 0
5 2
6 0
7
Correlation between the blood groups, BMI and pre-hypertension among medical students.
12
8 287
9 14
10 27
11
Reducing unwanted traffic in a backbone network
35
12 300
13 24
14
Characterization of Failures in an IP Backbone Network.
43
15
Controlling Hot Potatoes in Intradomain Traffic Engineering
8
16 2
17 128
18 3
19
A Framework for Source-Specific IP Multicast Deployment
4
20
Flow and congestion control for reliable multicast communication in wide -area networks
1

About Supratik Bhattacharyya

Supratik Bhattacharyya is a scholar working on Computer Networks and Communications, Hardware and Architecture and Endocrinology, Diabetes and Metabolism, having authored 60 papers that have together received 3.2k indexed citations. Recurring topics across this work include Network Traffic and Congestion Control (33 papers), Software-Defined Networks and 5G (16 papers) and Advanced Optical Network Technologies (11 papers). The work is most often cited by research in Computer Networks and Communications (2.9k citations), Hardware and Architecture (253 citations) and Artificial Intelligence (795 citations). Supratik Bhattacharyya has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Christophe Diot, Chen‐Nee Chuah, Kuai Xu, Nina Taft, Zhi-Li Zhang, Athina Markopoulou, Giuliana Iannaccone, Kavé Salamatian, S. Paul and Krishan Sabnani. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Journal on Selected Areas in Communications and IEEE/ACM Transactions on Networking.

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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