Yogesh Mani Tripathi

1.5k citations
125 papers · 1.1k indexed · h-index 17
Topics
Statistical Distribution Estimation and Applications (95 papers)Probabilistic and Robust Engineering Design (64 papers)Statistical Methods and Bayesian Inference (38 papers)
Partner nations
IndiaChinaTaiwan

In The Last Decade

Yogesh Mani Tripathi

109 papers receiving 1.0k citations

Peers

Yogesh Mani Tripathi
Comparison fields: 5 of 96
  • Statistics and Probability 924
  • Statistics, Probability and Uncertainty 683
  • Safety, Risk, Reliability and Quality 275
  • Global and Planetary Change 166
  • Management Science and Operations Research 103
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Yan Lumelskii Israel
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Filidor Vilca Brazil
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Citations per field
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Citations per year

Countries citing papers authored by Yogesh Mani Tripathi

Since Specialization
Citations

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

Fields of papers citing papers by Yogesh Mani Tripathi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yogesh Mani Tripathi. 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 Yogesh Mani Tripathi. The network helps show where Yogesh Mani Tripathi may publish in the future.

Co-authorship network of co-authors of Yogesh Mani Tripathi

This figure shows the co-authorship network connecting the top 25 collaborators of Yogesh Mani Tripathi. A scholar is included among the top collaborators of Yogesh Mani Tripathi 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 Yogesh Mani Tripathi. Yogesh Mani Tripathi 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 0
2 0
3 0
4 1
5 5
6 1
7 0
8 7
9 4
10 2
11 3
12 6
13 7
14
BRAINPORT VISION TECHNOLOGY
1
15 5
16 11
17
YOGA PRACTICE AND BIOCHEMICAL AND PHYSIOLOGICAL ALTERATIONS IN NORMAL SUBJECTS
1
18
ASSESSMENT OF TYPES OF LEARNING MODES IN MEDICAL STUDENTS
0
19
Estimating Components of a Normal Mean Vector under Order Restrictions
0
20 5

About Yogesh Mani Tripathi

Yogesh Mani Tripathi is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Safety, Risk, Reliability and Quality, having authored 125 papers that have together received 1.1k indexed citations. Recurring topics across this work include Statistical Distribution Estimation and Applications (95 papers), Probabilistic and Robust Engineering Design (64 papers) and Statistical Methods and Bayesian Inference (38 papers). The work is most often cited by research in Statistics and Probability (924 citations), Statistics, Probability and Uncertainty (683 citations) and Safety, Risk, Reliability and Quality (275 citations). Yogesh Mani Tripathi has collaborated with scholars based in India, China and Taiwan. Frequent co-authors include Manoj Kumar Rastogi, Sukhdev Singh, Shuo‐Jye Wu, Liang Wang, Sanku Dey, Somesh Kumar, Refah Alotaibi, Fatih Kızılaslan, A. Asgharzadeh and Sanku Dey. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Computational and Applied Mathematics and IEEE Transactions on Reliability.

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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