Suprateek Kundu

674 citations
53 papers · 356 indexed · h-index 13
Topics
Functional Brain Connectivity Studies (13 papers)Advanced Neuroimaging Techniques and Applications (13 papers)Statistical Methods and Inference (8 papers)

In The Last Decade

Suprateek Kundu

45 papers receiving 353 citations

Peers

Suprateek Kundu
Comparison fields: 5 of 107
  • Cognitive Neuroscience 95
  • Radiology, Nuclear Medicine and Imaging 94
  • Molecular Biology 56
  • Statistics and Probability 45
  • Artificial Intelligence 42
Replace Bärbel Maus with:
Bärbel Maus Netherlands
Jae Hong Park South Korea
Aymeric Stamm France
Harumi Kobayashi Japan
Ananya Malhotra India
Péter Révész Hungary
Benjamin King Hong Law China
Tarek Haddad United States
Viren Sardana India
Suprateek Kundu relative to Bärbel Maus Netherlands Bärbel Maus's profile →
Citations per field
00.5×10×14×
Bärbel Maus · 1×
Citations per year

Countries citing papers authored by Suprateek Kundu

Since Specialization
Citations

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

Fields of papers citing papers by Suprateek Kundu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suprateek Kundu

This figure shows the co-authorship network connecting the top 25 collaborators of Suprateek Kundu. A scholar is included among the top collaborators of Suprateek Kundu 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 Suprateek Kundu. Suprateek Kundu 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 2
3 1
4 1
5 0
6 0
7 1
8 2
9 1
10 0
11 3
12 14
13 10
14 0
15 1
16 13
17 17
18 20
19 8
20 14

About Suprateek Kundu

Suprateek Kundu is a scholar working on Computational Mathematics, Statistics and Probability and Gastroenterology, having authored 53 papers that have together received 356 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (13 papers), Advanced Neuroimaging Techniques and Applications (13 papers) and Statistical Methods and Inference (8 papers). The work is most often cited by research in Computational Mathematics (8 citations), Statistics and Probability (45 citations) and Cognitive Neuroscience (95 citations). Suprateek Kundu has collaborated with scholars based in United States, Philippines and United Kingdom. Frequent co-authors include Ying Guo, David B. Dunson, Changgee Chang, Qi Long, Karthik Tappa, Prashanth Ravi, Ixavier A. Higgins, Falgun H. Chokshi, Ming Jin and Jian Kang. Their work appears in journals such as Journal of the American Statistical Association, PLoS ONE and NeuroImage.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026