Supratik Bhattacharyya

4.9k citations
60 papers · 3.2k indexed · h-index 25

Supratik Bhattacharyya

53 papers receiving 2.9k citations

Peers

Supratik Bhattacharyya
Comparison fields: 5 of 83
  • Computer Networks and Communications 2.9k
  • Hardware and Architecture 253
  • Artificial Intelligence 795
  • Computational Mathematics 11
  • Signal Processing 189
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Citations per year

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

The 25 scholars most cited alongside Supratik Bhattacharyya, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Supratik Bhattacharyya Line = papers co-authored together Supratik Bhattacharyya links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20252
2 20241
3 20240
4 20240
5 20232
6 20220
7
Correlation between the blood groups, BMI and pre-hypertension among medical students.
201012
8 2008287
9 200714
10 200627
11
Reducing unwanted traffic in a backbone network
200535
12 2005300
13 200524
14
Characterization of Failures in an IP Backbone Network.
200443
15
Controlling Hot Potatoes in Intradomain Traffic Engineering
20048
16 20032
17 2002128
18 20013
19
A Framework for Source-Specific IP Multicast Deployment
20004
20
Flow and congestion control for reliable multicast communication in wide -area networks
20001

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), Advanced Optical Network Technologies (11 papers), Caching and Content Delivery (10 papers), Network Security and Intrusion Detection (9 papers), Internet Traffic Analysis and Secure E-voting (8 papers), Diabetes Treatment and Management (7 papers) and Network Packet Processing and Optimization (7 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 IEEE/ACM Transactions on Networking, ACM SIGCOMM Computer Communication Review, ACM SIGMETRICS Performance Evaluation Review, IEEE Journal on Selected Areas in Communications and Journal of Communications and Networks.

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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