B. Raja Rao

526 citations
54 papers · 374 indexed · h-index 10
Topics
Statistical Distribution Estimation and Applications (18 papers)Insurance, Mortality, Demography, Risk Management (11 papers)Statistical Methods and Bayesian Inference (8 papers)
Partner nations
United StatesIndiaTaiwan

In The Last Decade

B. Raja Rao

49 papers receiving 330 citations

Peers

B. Raja Rao
Comparison fields: 5 of 93
  • Statistics and Probability 193
  • Demography 75
  • Artificial Intelligence 50
  • Management Science and Operations Research 48
  • Statistics, Probability and Uncertainty 47
Replace Henrik Ramlau-Hansen with:
Henrik Ramlau-Hansen Denmark
M. B. Rajarshi India
Mansour Aghababaei Jazi Iran
Yusra Tashkandy Saudi Arabia
Peter de Jong Netherlands
David P. M. Scollnik Canada
Pedro Rafael Diniz Marinho Brazil
Weijing Wang Taiwan
Ali Akbar Jafari Iran
Mohammad Hossein Alamatsaz Iran
B. Raja Rao relative to Henrik Ramlau-Hansen Denmark Henrik Ramlau-Hansen's profile →
Citations per field
00.5×2.8×
Henrik Ramlau-Hansen · 1×
Citations per year

Countries citing papers authored by B. Raja Rao

Since Specialization
Citations

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

Fields of papers citing papers by B. Raja Rao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by B. Raja Rao. 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 B. Raja Rao. The network helps show where B. Raja Rao may publish in the future.

Co-authorship network of co-authors of B. Raja Rao

This figure shows the co-authorship network connecting the top 25 collaborators of B. Raja Rao. A scholar is included among the top collaborators of B. Raja Rao 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 B. Raja Rao. B. Raja Rao 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
#WorkIndexed citations
1 1
2 11
3 6
4 5
5 14
6 1
7 1
8 1
9 3
10 3
11 2
12 1
13 8
14 1
15 1
16 2
17 28
18 3
19 28
20 9

About B. Raja Rao

B. Raja Rao is a scholar working on Statistics and Probability, Demography and Applied Mathematics, having authored 54 papers that have together received 374 indexed citations. Recurring topics across this work include Statistical Distribution Estimation and Applications (18 papers), Insurance, Mortality, Demography, Risk Management (11 papers) and Statistical Methods and Bayesian Inference (8 papers). The work is most often cited by research in Statistics and Probability (193 citations), Statistics, Probability and Uncertainty (47 citations) and Demography (75 citations). B. Raja Rao has collaborated with scholars based in United States, India and Taiwan. Frequent co-authors include M. L. Garg, Carol Redmond, K. G. Janardan, Sheela Talwalker, C. C. Li, C. V. Damaraju, Sati Mazumdar, Gary M. Marsh, Jasem M. Alhumoud and Bernard Clément. Their work appears in journals such as Cancer, Biometrics and Environment International.

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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