Abhijit Mandal

699 total citations
50 papers, 401 citations indexed

About

Abhijit Mandal is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Infectious Diseases. According to data from OpenAlex, Abhijit Mandal has authored 50 papers receiving a total of 401 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Statistics and Probability, 11 papers in Statistics, Probability and Uncertainty and 6 papers in Infectious Diseases. Recurrent topics in Abhijit Mandal's work include Advanced Statistical Methods and Models (20 papers), Statistical Methods and Inference (12 papers) and Advanced Statistical Process Monitoring (9 papers). Abhijit Mandal is often cited by papers focused on Advanced Statistical Methods and Models (20 papers), Statistical Methods and Inference (12 papers) and Advanced Statistical Process Monitoring (9 papers). Abhijit Mandal collaborates with scholars based in India, United States and Spain. Abhijit Mandal's co-authors include Leandro Pardo, Ayanendranath Basu, Nirian Martín, K Raghu, Abhik Ghosh, Anirban Das, Rames C. Panda, V. Vijayan, Andrzej Cichocki and Anirban Mondal and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the Royal Statistical Society Series A (Statistics in Society) and Applied Biochemistry and Biotechnology.

In The Last Decade

Abhijit Mandal

42 papers receiving 388 citations

Peers

Abhijit Mandal
Comparison fields: 5 of 110
  • Statistics and Probability 131
  • Surgery 49
  • Control and Systems Engineering 44
  • Statistics, Probability and Uncertainty 40
  • Emergency Medical Services 31
Replace J. Burridge with:
J. Burridge United Kingdom
Hyoung‐Moon Kim South Korea
Ori Davidov Israel
Ruoqing Zhu United States
Ted H. Szatrowski United States
Wangli Xu China
Prakash Joshi India
Jennifer R. Cook South Africa
Changwon Lim South Korea
Vincent Audigier France
J. Burridge United Kingdom View profile →
Citations per field, relative to Abhijit Mandal
Abhijit Mandal · 1×
Citations per year, relative to Abhijit Mandal
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Countries citing papers authored by Abhijit Mandal

Since Specialization
Citations

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

Fields of papers citing papers by Abhijit Mandal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abhijit Mandal

This figure shows the co-authorship network connecting the top 25 collaborators of Abhijit Mandal. A scholar is included among the top collaborators of Abhijit Mandal 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 Abhijit Mandal. Abhijit Mandal 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 0
3 1
4 4
5 2
6 5
7 36
8 1
9 40
10 10
11 15
12 25
13 34
14 1
15 25
16 18
17 28
18 35
19 7
20
Minimum hellinger distance estimation with inlier modification
3

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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