J. D. Kalbfleisch

785 citations
13 papers · 584 indexed · h-index 8
Topics
Statistical Methods and Bayesian Inference (2 papers)Statistical Distribution Estimation and Applications (2 papers)Bayesian Methods and Mixture Models (2 papers)
Partner nations
United StatesCanada

In The Last Decade

J. D. Kalbfleisch

12 papers receiving 568 citations

Peers

J. D. Kalbfleisch
Comparison fields: 5 of 112
  • Surgery 204
  • Hepatology 204
  • Epidemiology 127
  • Physiology 112
  • Statistics and Probability 95
Replace Marie Hu with:
Marie Hu United States
Silvia Taranto United States
Étienne Dantan France
Pasquale De Cata Italy
Joaquim Viana Portugal
Elias Laurin Meyer Austria
Yassine Bouatou Switzerland
Johanna C. Wiersum‐Osselton Netherlands
Fawad Qureshi United States
Heather Watson United States
J. D. Kalbfleisch relative to Marie Hu United States Marie Hu's profile →
Citations per field
00.5×10×16×
Marie Hu · 1×
Citations per year

Countries citing papers authored by J. D. Kalbfleisch

Since Specialization
Citations

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

Fields of papers citing papers by J. D. Kalbfleisch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. D. Kalbfleisch. 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 J. D. Kalbfleisch. The network helps show where J. D. Kalbfleisch may publish in the future.

Co-authorship network of co-authors of J. D. Kalbfleisch

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

All Works

13 of 13 papers shown
#WorkIndexed citations
1 37
2 14
3 24
4 11
5 229
6 93
7 1
8 33
9 4
10 131
11 0
12 1
13 6

About J. D. Kalbfleisch

J. D. Kalbfleisch is a scholar working on Statistics and Probability, Transplantation and Hepatology, having authored 13 papers that have together received 584 indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (2 papers), Statistical Distribution Estimation and Applications (2 papers) and Bayesian Methods and Mixture Models (2 papers). The work is most often cited by research in Hepatology (204 citations), Transplantation (63 citations) and Statistics and Probability (95 citations). J. D. Kalbfleisch has collaborated with scholars based in United States and Canada. Frequent co-authors include Gilbert MacKenzie, Pratima Sharma, Robert M. Merion, Mary K. Guidinger, Elizabeth A. Pomfret, Douglas E. Schaubel, Scott W. Biggins, Yijiang Li, Ronald D. Chervin and Yi Li. Their work appears in journals such as Journal of the American Statistical Association, Gastroenterology and Technometrics.

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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