Sourav Medya

475 total citations
31 papers, 142 citations indexed

About

Sourav Medya is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics. According to data from OpenAlex, Sourav Medya has authored 31 papers receiving a total of 142 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 6 papers in Statistical and Nonlinear Physics. Recurrent topics in Sourav Medya's work include Advanced Graph Neural Networks (13 papers), Graph Theory and Algorithms (6 papers) and Complex Network Analysis Techniques (6 papers). Sourav Medya is often cited by papers focused on Advanced Graph Neural Networks (13 papers), Graph Theory and Algorithms (6 papers) and Complex Network Analysis Techniques (6 papers). Sourav Medya collaborates with scholars based in United States, India and Italy. Sourav Medya's co-authors include Ambuj K. Singh, Sayan Ranu, Brian Uzzi, Yu‐Wen Chen, Yi‐Chun Chen, Arlei Silva, Charų C. Aggarwal, Yang Yang, Anuj Dhawan and Palash Dey and has published in prestigious journals such as Atmospheric Environment, IEEE Transactions on Knowledge and Data Engineering and Proceedings of the VLDB Endowment.

In The Last Decade

Sourav Medya

21 papers receiving 138 citations

Peers

Sourav Medya
Comparison fields: 5 of 51
  • Artificial Intelligence 80
  • Statistical and Nonlinear Physics 28
  • Information Systems 17
  • Environmental Engineering 16
  • Management Science and Operations Research 15
Replace Vincent Courboulay with:
Vincent Courboulay France
Shi Zhi United States
Lingyuan Meng China
Eréndira Rendón Mexico
Christina Heinze‐Deml Switzerland
Chen Song China
Pallavi Choudhury United States
Mina Ghavipour Iran
Vipin Kumar India
Ying Sha China
Vincent Courboulay France View profile →
Citations per field, relative to Sourav Medya
Sourav Medya · 1×
Citations per year, relative to Sourav Medya
Sourav Medya · 1×

Countries citing papers authored by Sourav Medya

Since Specialization
Citations

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

Fields of papers citing papers by Sourav Medya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sourav Medya

This figure shows the co-authorship network connecting the top 25 collaborators of Sourav Medya. A scholar is included among the top collaborators of Sourav Medya 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 Sourav Medya. Sourav Medya 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 1
3 0
4 6
5 4
6 0
7 2
8 1
9 0
10 0
11 0
12 30
13 5
14 17
15 17
16 2
17 2
18 7
19
GCOMB: Learning Budget-constrained Combinatorial Algorithms over Billion-sized Graphs
12
20
Development of difference spectroscopic method for the estimation of Aspi-rin in formulation using hydrotropy
2

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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