Jan Talmon

91 papers receiving 1.5k citations

Peers

Jan Talmon
Comparison fields: 5 of 139
  • Health Information Management 697
  • Medical Terminology 13
  • Health Informatics 52
  • Issues, ethics and legal aspects 34
  • Medical Laboratory Technology 28
Replace Jan H. van Bemmel with:
Jan H. van Bemmel Netherlands
Arie Hasman Netherlands
Spencer S. Jones United States
W. Ed Hammond United States
Hans‐Ulrich Prokosch Germany
Mor Peleg Israel
Peter L. Elkin United States
Farahnaz Sadoughi Iran
Aziz A. Boxwala United States
Ronald Cornet Netherlands
Jan Talmon relative to Jan H. van Bemmel Netherlands Jan H. van Bemmel's profile →
Citations per field
00.5×1.5×2.2×
Jan H. van Bemmel · 1×
Citations per year

Countries citing papers authored by Jan Talmon

Since Specialization
Citations

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

Fields of papers citing papers by Jan Talmon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20166
2
Data Governance Dilemmas for Research and Clinical Care.
20140
3
Writing for Publication in Biomedical Informatics Journals
20132
4 20113
5 201111
6 201116
7 2008173
8
The quality of reporting of health informatics evaluation studies: a pilot study.
20076
9 20034
10 200315
11
Workshop WG15 Technology Assessment and Quality Improvement.
20012
12 19995
13
Assessment and evaluation of information technogies in medicine
199521
14 199575
15
The diagnostic outcome of upper gastrointestinal endoscopy: Are referral source and patient age determining factors?
199411
16 19945
17 19944
18 199427
19 19911
20
Approximated gauss-Markov estimators and related schemes
19716

About Jan Talmon

Jan Talmon is a scholar working on Health Information Management, Medical Terminology, Medical Laboratory Technology, Family Practice and Management Science and Operations Research, having authored 96 papers that have together received 1.7k indexed citations. Recurring topics across this work include Electronic Health Records Systems (40 papers), Biomedical Text Mining and Ontologies (16 papers), Health Sciences Research and Education (10 papers), ECG Monitoring and Analysis (9 papers), Clinical practice guidelines implementation (7 papers), Data Quality and Management (7 papers), Healthcare Systems and Technology (5 papers) and Semantic Web and Ontologies (5 papers). The work is most often cited by research in Health Information Management (697 citations), Medical Terminology (13 citations), Health Informatics (52 citations), Issues, ethics and legal aspects (34 citations) and Medical Laboratory Technology (28 citations). Jan Talmon has collaborated with scholars based in Netherlands, Denmark and Finland. Frequent co-authors include Jytte Brender, Elske Ammenwerth, Päivi Nykänen, Arie Hasman, Michael Rigby, Pirkko Nykänen, Jan A. Kors, Anton W. Ambergen, Hans‐Ulrich Prokosch and Nicolette F. de Keizer. Their work appears in journals such as International Journal of Medical Informatics, Methods of Information in Medicine, Yearbook of Medical Informatics, Computer Methods and Programs in Biomedicine and Artificial Intelligence in Medicine.

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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