Karthik Subbian

1.5k total citations
43 papers, 870 citations indexed

About

Karthik Subbian is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Information Systems. According to data from OpenAlex, Karthik Subbian has authored 43 papers receiving a total of 870 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 17 papers in Statistical and Nonlinear Physics and 15 papers in Information Systems. Recurrent topics in Karthik Subbian's work include Complex Network Analysis Techniques (17 papers), Opinion Dynamics and Social Influence (11 papers) and Advanced Graph Neural Networks (11 papers). Karthik Subbian is often cited by papers focused on Complex Network Analysis Techniques (17 papers), Opinion Dynamics and Social Influence (11 papers) and Advanced Graph Neural Networks (11 papers). Karthik Subbian collaborates with scholars based in United States, Israel and India. Karthik Subbian's co-authors include Charų C. Aggarwal, Jaideep Srivastava, Prem Melville, Nikhil Rao, Lada A. Adamic, Komal Kapoor, Paul Schrater, B. Aditya Prakash, Arindam Banerjee and John Z. Sun and has published in prestigious journals such as ACM Computing Surveys, ACM Transactions on Intelligent Systems and Technology and ACM Transactions on Knowledge Discovery from Data.

In The Last Decade

Karthik Subbian

41 papers receiving 822 citations

Peers

Karthik Subbian
Comparison fields: 5 of 77
  • Statistical and Nonlinear Physics 439
  • Artificial Intelligence 434
  • Information Systems 248
  • Computer Networks and Communications 153
  • Computer Vision and Pattern Recognition 116
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Citations per field, relative to Karthik Subbian
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Citations per year, relative to Karthik Subbian
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Countries citing papers authored by Karthik Subbian

Since Specialization
Citations

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

Fields of papers citing papers by Karthik Subbian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karthik Subbian

This figure shows the co-authorship network connecting the top 25 collaborators of Karthik Subbian. A scholar is included among the top collaborators of Karthik Subbian 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 Karthik Subbian. Karthik Subbian 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 2
2 4
3 0
4 5
5 24
6 2
7 9
8
Learning Diffusion using Hyperparameters
11
9 16
10
Mining Social Streams: Models and Applications.
1
11 9
12 17
13 21
14
On Reciprocity in Massively Multi-player Online Game Networks
2
15 1
16 20
17 25
18 26
19 33
20 0

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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