S. Oskam

13 papers receiving 284 citations

Peers

S. Oskam
Comparison fields: 5 of 73
  • Health Information Management 42
  • General Health Professions 130
  • Family Practice 9
  • Medical Terminology 1
  • Psychiatry and Mental health 55
Replace Glen R. Couchman with:
Glen R. Couchman United States
Sarah O’Brien United Kingdom
Federica Mammarella Italy
Tora Grauers Willadsen Denmark
Vanessa Sgnaolin Brazil
Edurne Alonso-Morán Spain
Robert Thombley United States
Björn Broge Germany
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Citations per field
00.5×1.5×1.9×
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Citations per year

Countries citing papers authored by S. Oskam

Since Specialization
Citations

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

Fields of papers citing papers by S. Oskam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside S. Oskam, 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 S. Oskam Line = papers co-authored together S. Oskam links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1
The probability of specific diagnoses for patients presenting with common symptoms to Dutch family physicians.
200294
2
The role of family practice in different health care systems: a comparison of reasons for encounter, diagnoses, and interventions in primary care populations in the Netherlands, Japan, Poland, and the United States.
200265
3 201235
4 200118
5 201217
6 201516
7 201713
8
[The clinical relationship between symptoms and the final diagnosis in general practice, determined by means of posterior probabilities calculated on the basis of the Transition Project].
200512
9 20129
10 20136
11 20075
12 20134
13 20164

About S. Oskam

S. Oskam is a scholar working on General Health Professions, Public Health, Environmental and Occupational Health, Epidemiology, Health Information Management and Economics and Econometrics, having authored 13 papers that have together received 298 indexed citations. Recurring topics across this work include Primary Care and Health Outcomes (8 papers), Health Promotion and Cardiovascular Prevention (4 papers), Chronic Disease Management Strategies (4 papers), Medical Coding and Health Information (3 papers), Fibromyalgia and Chronic Fatigue Syndrome Research (2 papers), Healthcare Policy and Management (2 papers), Healthcare Systems and Technology (2 papers) and Musculoskeletal pain and rehabilitation (1 paper). The work is most often cited by research in Health Information Management (42 citations), General Health Professions (130 citations), Family Practice (9 citations), Medical Terminology (1 citation) and Psychiatry and Mental health (55 citations). S. Oskam has collaborated with scholars based in Netherlands, United Kingdom and Australia. Frequent co-authors include Inge Okkes, H Lamberts, Kees van Boven, Frank Dobbs, Jean Karl Soler, G E Fryer, M Jevtić, Arend J. Groen, Henk Schers and Chris van Weel. Their work appears in journals such as Family Practice, Journal of Innovation in Health Informatics, European Journal of General Practice, Methods of Information in Medicine and The Journal of the American Board of Family 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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