Jan Vegelius

1.0k citations
42 papers · 802 indexed · h-index 13
Topics
Reliability and Agreement in Measurement (5 papers)Multi-Criteria Decision Making (4 papers)Advanced Statistical Methods and Models (4 papers)
Partner nations
Sweden

In The Last Decade

Jan Vegelius

39 papers receiving 729 citations

Peers

Jan Vegelius
Comparison fields: 5 of 127
  • Oncology 181
  • Cancer Research 107
  • Artificial Intelligence 105
  • Genetics 102
  • Molecular Biology 78
Replace Colin S. Gillespie with:
Colin S. Gillespie United Kingdom
Chitralekha Bhattacharya United States
Kimberly F. Sellers United States
Hirofumi Michimae Japan
Roman Hornung Germany
Stefano Young United States
Richard J. Boys United Kingdom
Colleen Kelly United States
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Yihui Xie China
Jan Vegelius relative to Colin S. Gillespie United Kingdom Colin S. Gillespie's profile →
Citations per field
00.5×5.2×
Colin S. Gillespie · 1×
Citations per year

Countries citing papers authored by Jan Vegelius

Since Specialization
Citations

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

Fields of papers citing papers by Jan Vegelius

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan Vegelius

This figure shows the co-authorship network connecting the top 25 collaborators of Jan Vegelius. A scholar is included among the top collaborators of Jan Vegelius 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 Jan Vegelius. Jan Vegelius 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
1 14
2 157
3 1
4 1
5 7
6 3
7 0
8
A method for estimating bias introduced into epidemiological investigations by those who refuse to participate.
3
9 38
10 12
11 2
12
Thyroid disease and function in breast cancer patients and non-hospitalized controls evaluated by determination of TSH, T3, rT3 and T4 levels in serum.
24
13 19
14 10
15 8
16 10
17 7
18
On various G index generalizations and their applicability within the clinical domain
7
19 17
20 8

About Jan Vegelius

Jan Vegelius is a scholar working on Anatomy, Statistics, Probability and Uncertainty and Management Science and Operations Research, having authored 42 papers that have together received 802 indexed citations. Recurring topics across this work include Reliability and Agreement in Measurement (5 papers), Multi-Criteria Decision Making (4 papers) and Advanced Statistical Methods and Models (4 papers). The work is most often cited by research in Statistics and Probability (72 citations), Statistics, Probability and Uncertainty (62 citations) and Cancer Research (107 citations). Jan Vegelius has collaborated with scholars based in Sweden. Frequent co-authors include Svante Janson, Björn Stenkvist, Hans‐Olov Adami, Å Rimsten, Sighild Westman‐Naeser, Olle Eriksson, Ewert Bengtsson, J Holmquist, B. Nordin and Arne Victor. Their work appears in journals such as Cancer, British Journal of Cancer and Oecologia.

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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