Raghunath Arnab

135 total papers · 551 total citations
57 papers, 250 citations indexed

About

Raghunath Arnab is a scholar working on Statistics and Probability, Artificial Intelligence and Statistics, Probability and Uncertainty. According to data from OpenAlex, Raghunath Arnab has authored 57 papers receiving a total of 250 indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Statistics and Probability, 11 papers in Artificial Intelligence and 6 papers in Statistics, Probability and Uncertainty. Recurrent topics in Raghunath Arnab's work include Survey Sampling and Estimation Techniques (42 papers), Statistical Distribution Estimation and Applications (10 papers) and Bayesian Methods and Mixture Models (9 papers). Raghunath Arnab is often cited by papers focused on Survey Sampling and Estimation Techniques (42 papers), Statistical Distribution Estimation and Applications (10 papers) and Bayesian Methods and Mixture Models (9 papers). Raghunath Arnab collaborates with scholars based in Botswana, South Africa and India. Raghunath Arnab's co-authors include Sarjinder Singh, Fabian C. Okafor, Delia North, Georg Dorffner, Stephen A. Sedory, Temesgen Zewotir, Arijit Chaudhuri, M. Rueda, Antonio Arcos and Muhammad Ali Khan and has published in prestigious journals such as SHILAP Revista de lepidopterología, European Journal of Gastroenterology & Hepatology and Journal of Statistical Planning and Inference.

In The Last Decade

Raghunath Arnab

46 papers receiving 231 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Raghunath Arnab 223 39 21 20 12 57 250
Stephen A. Sedory 267 1.2× 64 1.6× 16 0.8× 11 0.6× 1 0.1× 45 287
Tanveer A. Tarray 246 1.1× 54 1.4× 13 0.6× 7 0.3× 47 282
Siu‐Ming Tam 134 0.6× 43 1.1× 53 2.5× 24 1.2× 2 0.2× 36 252
Sanaa Al-Marzouki 153 0.7× 22 0.6× 7 0.3× 10 0.5× 35 2.9× 30 268
Shonosuke Sugasawa 129 0.6× 53 1.4× 15 0.7× 16 0.8× 1 0.1× 64 295
Olayan Albalawi 93 0.4× 20 0.5× 54 2.6× 18 0.9× 80 312
Kevin Burke 32 0.1× 35 0.9× 20 1.0× 13 0.7× 36 202
V. M. Joshi 170 0.8× 54 1.4× 16 0.8× 2 0.1× 4 0.3× 31 227
Barbara Osimani 38 0.2× 13 0.3× 30 1.4× 5 0.3× 11 0.9× 26 225
Nadia Hashim Al-Noor 270 1.2× 23 0.6× 7 0.3× 10 0.5× 49 330

Countries citing papers authored by Raghunath Arnab

Since Specialization
Citations

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

Fields of papers citing papers by Raghunath Arnab

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Raghunath Arnab

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

All Works

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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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