Bart Penders

67 papers receiving 565 citations

Peers

Bart Penders
Comparison fields: 5 of 125
  • Information Systems and Management 82
  • Statistics, Probability and Uncertainty 73
  • Health 78
  • Health Informatics 9
  • History and Philosophy of Science 29
Replace Heather Howard with:
Heather Howard United States
Anna Villarroya Spain
Meiko Makita United Kingdom
Liam Kofi Bright United Kingdom
Mohammadamin Erfanmanesh Iran
Jeffrey Brainard
Subbiah Arunachalam India
Lars Guenther Germany
Abel L. Packer Brazil
Adrian Mulligan Netherlands
Bart Penders relative to Heather Howard United States Heather Howard's profile →
Citations per field
00.5×4.9×
Heather Howard · 1×
Citations per year

Countries citing papers authored by Bart Penders

Since Specialization
Citations

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

Fields of papers citing papers by Bart Penders

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bart Penders. 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 Bart Penders. The network helps show where Bart Penders may publish in the future.

Co-authors

The 25 scholars most cited alongside Bart Penders, 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 Bart Penders Line = papers co-authored together Bart Penders links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201958
2 201354
3 201934
4 201130
5 200930
6 202027
7 200824
8 202019
9 201815
10 201715
11 201515
12 200714
13 202213
14 200913
15 200913
16 202212
17 201012
18 201612
19 201711
20 20209

About Bart Penders

Bart Penders is a scholar working on Genetics, Sociology and Political Science, Molecular Biology, Information Systems and Management and Public Health, Environmental and Occupational Health, having authored 69 papers that have together received 599 indexed citations. Recurring topics across this work include Nutrition, Genetics, and Disease (12 papers), scientometrics and bibliometrics research (7 papers), Ethics in Clinical Research (5 papers), Bioinformatics and Genomic Networks (5 papers), Pharmaceutical industry and healthcare (4 papers), Academic Publishing and Open Access (4 papers), Genetics, Bioinformatics, and Biomedical Research (4 papers) and Scientific Computing and Data Management (4 papers). The work is most often cited by research in Information Systems and Management (82 citations), Statistics, Probability and Uncertainty (73 citations), Health (78 citations), Health Informatics (9 citations) and History and Philosophy of Science (29 citations). Bart Penders has collaborated with scholars based in Netherlands, United States and Taiwan. Frequent co-authors include Klasien Horstman, Niki Vermeulen, John N. Parker, Rein Vos, Sarah de Rijcke, J. Britt Holbrook, John M. A. Verbakel, David Shaw, Joanna Goven and Frans Feron. Their work appears in journals such as Accountability in Research, EMBO Reports, Trends in Food Science & Technology, Vaccines and BioScience.

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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