Ram C. Tripathi

1.2k citations
38 papers · 772 · h-index 15

Impact in

Papers in

    • Statistical Distribution Estimation and Applications 21
    • Statistical Methods and Bayesian Inference 15
    • Advanced Statistical Methods and Models 8
    • Statistical Methods in Clinical Trials 4
    • Bayesian Methods and Mixture Models 12

Ram C. Tripathi

37 papers receiving 717 citations

Peers

Ram C. Tripathi
Comparison fields: 5 of 128
  • Statistics and Probability 368
  • Statistics, Probability and Uncertainty 109
  • Health, Toxicology and Mutagenesis 175
  • Cancer Research 113
  • Safety, Risk, Reliability and Quality 57
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Monica Chiogna Italy
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Citations per year

Countries citing papers authored by Ram C. Tripathi

Since Specialization
Citations

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

Fields of papers citing papers by Ram C. Tripathi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Ram C. Tripathi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ram C. Tripathi Line = papers co-authored together Ram C. Tripathi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199691
2 197168
3 199760
4 200449
5 200245
6 200344
7 199444
8 200241
9 199538
10 201033
11 199230
12 198027
13 197725
14 198522
15 197120
16 199814
17
The reliability of the serum dioxin measurement in veterans of Operation Ranch Hand.
199713
18
Levels of 2,3,7,8-tetrachlorodibenzo-p-dioxin in 1,302 unexposed Air Force Vietnam-era veterans.
199812
19 200710
20 199310

About Ram C. Tripathi

Ram C. Tripathi is a scholar working on Statistics and Probability, Artificial Intelligence, Statistics, Probability and Uncertainty, Health, Toxicology and Mutagenesis and Occupational Therapy, having authored 38 papers that have together received 772 indexed citations. Recurring topics across this work include Statistical Distribution Estimation and Applications (21 papers), Statistical Methods and Bayesian Inference (15 papers), Bayesian Methods and Mixture Models (12 papers), Advanced Statistical Methods and Models (8 papers), Advanced Statistical Process Monitoring (6 papers), Toxic Organic Pollutants Impact (5 papers), Occupational Health and Performance (4 papers) and Statistical Methods in Clinical Trials (4 papers). The work is most often cited by research in Statistics and Probability (368 citations), Statistics, Probability and Uncertainty (109 citations), Health, Toxicology and Mutagenesis (175 citations), Cancer Research (113 citations) and Safety, Risk, Reliability and Quality (57 citations). Ram C. Tripathi has collaborated with scholars based in United States, Canada and India. Frequent co-authors include Ramesh C. Gupta, Pushpa L. Gupta, John Gurland, Joel Michalek, James L. Pirkle, Samuel P. Caudill, Norma S. Ketchum, Nandini Kannan, Paolo Mocarelli and Donald G. Patterson. Their work appears in journals such as Journal of the American Statistical Association, Statistics in Medicine, Journal of Statistical Planning and Inference, Journal of Exposure Science & Environmental Epidemiology and Computational Statistics & Data Analysis.

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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