Saman Muthukumarana

457 total citations
41 papers, 241 citations indexed

About

Saman Muthukumarana is a scholar working on Artificial Intelligence, Statistics and Probability and Ecology. According to data from OpenAlex, Saman Muthukumarana has authored 41 papers receiving a total of 241 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 15 papers in Statistics and Probability and 6 papers in Ecology. Recurrent topics in Saman Muthukumarana's work include Statistical Methods and Bayesian Inference (13 papers), Bayesian Methods and Mixture Models (8 papers) and Statistical Methods and Inference (6 papers). Saman Muthukumarana is often cited by papers focused on Statistical Methods and Bayesian Inference (13 papers), Bayesian Methods and Mixture Models (8 papers) and Statistical Methods and Inference (6 papers). Saman Muthukumarana collaborates with scholars based in Canada, United States and India. Saman Muthukumarana's co-authors include Michael Domaratzki, Tim B. Swartz, Paramjit Gill, Ram C. Tiwari, Theodoro Koulis, Kevin C. Fraser, Pulak Ghosh, James D. Ray, Alan Katz and Jason D. Fischer and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Canadian Journal of Fisheries and Aquatic Sciences.

In The Last Decade

Saman Muthukumarana

36 papers receiving 229 citations

Peers

Saman Muthukumarana
Comparison fields: 5 of 101
  • Artificial Intelligence 63
  • Economics and Econometrics 49
  • Statistics and Probability 38
  • Ecology 33
  • Sociology and Political Science 24
Replace Vanessa Kuentz-Simonet with:
Vanessa Kuentz-Simonet France
Simone Borra Italy
Niki Popper Austria
Georgi N. Boshnakov United Kingdom
Rebecca J. Sela United States
Nicola Lunardon Italy
Heidi Seibold Germany
Janis E. Johnston United States
Ya‐Mei Chang Taiwan
Farouk S. Nathoo Canada
Vanessa Kuentz-Simonet France View profile →
Citations per field, relative to Saman Muthukumarana
Saman Muthukumarana · 1×
Citations per year, relative to Saman Muthukumarana
Saman Muthukumarana · 1×

Countries citing papers authored by Saman Muthukumarana

Since Specialization
Citations

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

Fields of papers citing papers by Saman Muthukumarana

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saman Muthukumarana

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

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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