Ram Shanmugam

1.7k total citations · 1 hit paper
16 papers, 1.1k citations indexed

About

Ram Shanmugam is a scholar working on Public Health, Environmental and Occupational Health, Surgery and Rehabilitation. According to data from OpenAlex, Ram Shanmugam has authored 16 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Public Health, Environmental and Occupational Health, 2 papers in Surgery and 2 papers in Rehabilitation. Recurrent topics in Ram Shanmugam's work include Visual perception and processing mechanisms (1 paper), Chronic Disease Management Strategies (1 paper) and Coding theory and cryptography (1 paper). Ram Shanmugam is often cited by papers focused on Visual perception and processing mechanisms (1 paper), Chronic Disease Management Strategies (1 paper) and Coding theory and cryptography (1 paper). Ram Shanmugam collaborates with scholars based in United States, Australia and India. Ram Shanmugam's co-authors include Jean D. Brender, Peter H. Langlois, Lucina Suarez, Natalie P. Archer, Erik‐Jan Lock, Joop J. A. van Loon, Aman Paul, Johan Johansen, Éric Schmitt and Diane Dolezel and has published in prestigious journals such as Technometrics, Medicine & Science in Sports & Exercise and Information Sciences.

In The Last Decade

Ram Shanmugam

15 papers receiving 1.0k citations

Hit Papers

Causality: Models, Reasoning, and Inference 2001 2026 2009 2017 2001 250 500 750

Peers

Ram Shanmugam
Comparison fields: 5 of 157
  • Artificial Intelligence 289
  • Statistics and Probability 120
  • Molecular Biology 100
  • Economics and Econometrics 95
  • History and Philosophy of Science 88
Marc R. Forster United States
Madelyn Glymour United States
Rink Hoekstra Netherlands
Lisa R. Goldberg United States
David L. Dowe Australia
John Aldrich United Kingdom
Edward Mulrow United States
Laura Martignon Germany
Julio Michael Stern Brazil
David A. Schum United States
Marc R. Forster United States View profile →
Citations per field, relative to Ram Shanmugam
Ram Shanmugam · 1×
Citations per year, relative to Ram Shanmugam
Ram Shanmugam · 1×

Countries citing papers authored by Ram Shanmugam

Since Specialization
Citations

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

Fields of papers citing papers by Ram Shanmugam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ram Shanmugam

This figure shows the co-authorship network connecting the top 25 collaborators of Ram Shanmugam. A scholar is included among the top collaborators of Ram Shanmugam 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 Ram Shanmugam. Ram Shanmugam is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
# Work Indexed citations
1 1
2 0
3 5
4 7
5 3
6 23
7 62
8 21
9 12
10 49
11
Causality: Models, Reasoning, and Inference breakdown →
829
12 4
13 5
14 43
15 3
16 1

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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2026