Jelle J. Goeman

16.3k citations
180 papers · 9.8k indexed · 6 hit papers · h-index 43
Topics
Statistical Methods in Clinical Trials (29 papers)Gene expression and cancer classification (29 papers)Statistical Methods and Inference (20 papers)
Partner nations
NetherlandsBelgiumItaly

In The Last Decade

Jelle J. Goeman

169 papers receiving 9.6k citations

Hit Papers

Plea for routinely presen...1993202620042015201619932003200920074008001.2k

Peers

Jelle J. Goeman
Comparison fields: 5 of 208
  • Molecular Biology 3.5k
  • Epidemiology 1.3k
  • Infectious Diseases 1.0k
  • Microbiology 975
  • Genetics 931
Replace Robert L. Davis with:
Robert L. Davis United States
Julian Peto United Kingdom
Vincent J. Carey United States
J. Dik F. Habbema Netherlands
Valerie Beral United Kingdom
Gary Cutter United States
Katherine S. Pollard United States
Sholom Wacholder United States
William D. Johnson United States
Scott M. Williams United States
Jelle J. Goeman relative to Robert L. Davis United States Robert L. Davis's profile →
Citations per field
00.5×1.7×
Robert L. Davis · 1×
Citations per year

Countries citing papers authored by Jelle J. Goeman

Since Specialization
Citations

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

Fields of papers citing papers by Jelle J. Goeman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jelle J. Goeman

This figure shows the co-authorship network connecting the top 25 collaborators of Jelle J. Goeman. A scholar is included among the top collaborators of Jelle J. Goeman 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 Jelle J. Goeman. Jelle J. Goeman 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
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11 13
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15 27
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Plea for routinely presenting prediction intervals in meta-analysisbreakdown →
1396
17 89
18 13
19 26
20 8

About Jelle J. Goeman

Jelle J. Goeman is a scholar working on Statistics and Probability, Aging and Virology, having authored 180 papers that have together received 9.8k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (29 papers), Gene expression and cancer classification (29 papers) and Statistical Methods and Inference (20 papers). The work is most often cited by research in Microbiology (975 citations), Statistics and Probability (665 citations) and Aging (113 citations). Jelle J. Goeman has collaborated with scholars based in Netherlands, Belgium and Italy. Frequent co-authors include Joanna IntHout, John P. A. Ioannidis, Maroeska M. Rovers, Hans C. van Houwelingen, Peter Bühlmann, Sara A. van de Geer, Aldo Solari, Peter Piot, Frieda Behets and Michel Alary. Their work appears in journals such as The Lancet, Nucleic Acids Research and Nature Communications.

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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