Michał Jakubczyk

57 papers receiving 1.0k citations

Hit Papers

A framework for sensitivity analysis of decision trees20172026202020232017100200300

Peers

Michał Jakubczyk
Comparison fields: 5 of 157
  • Economics and Econometrics 360
  • Surgery 199
  • General Health Professions 166
  • Radiology, Nuclear Medicine and Imaging 136
  • Cardiology and Cardiovascular Medicine 122
Replace Janine A. van Til with:
Janine A. van Til Netherlands
Mohammad T. Khasawneh United States
Turgay Ayer United States
Vakaramoko Diaby United States
Mariel S. Lavieri United States
Telba Irony United States
Alejandra Duenas United Kingdom
Ellen J. Bass United States
Gert van Valkenhoef Netherlands
Ilya Shpitser United States
Michał Jakubczyk relative to Janine A. van Til Netherlands Janine A. van Til's profile →
Citations per field
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Janine A. van Til · 1×
Citations per year

Countries citing papers authored by Michał Jakubczyk

Since Specialization
Citations

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

Fields of papers citing papers by Michał Jakubczyk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michał Jakubczyk

This figure shows the co-authorship network connecting the top 25 collaborators of Michał Jakubczyk. A scholar is included among the top collaborators of Michał Jakubczyk 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 Michał Jakubczyk. Michał Jakubczyk 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 2
2 0
3 0
4 7
5 3
6 2
7 33
8 10
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A framework for sensitivity analysis of decision treesbreakdown →
333
10 1
11 2
12 28
13
Using a Fuzzy Approach in Multi-Criteria Decision Making with Multiple Alternatives in Health Care
3
14 8
15 2
16 36
17 1
18 4
19
[Cost of lost productivity in pharmacoeconomics analysis. Part I. A systematic review of the literature].
3
20 2

About Michał Jakubczyk

Michał Jakubczyk is a scholar working on General Decision Sciences, Tourism, Leisure and Hospitality Management and Economics and Econometrics, having authored 63 papers that have together received 1.1k indexed citations. Recurring topics across this work include Health Systems, Economic Evaluations, Quality of Life (31 papers), Economic and Environmental Valuation (16 papers) and Global Health Care Issues (14 papers). The work is most often cited by research in Economics and Econometrics (360 citations), General Decision Sciences (20 citations) and Medical Laboratory Technology (14 citations). Michał Jakubczyk has collaborated with scholars based in Poland, United States and Netherlands. Frequent co-authors include Bogumił Kamiński, Przemysław Szufel, Maciej Niewada, Dominik Golicki, Jan J.V. Busschbach, Maksymilian P. Opolski, Cezary Kępka, Stephan Achenbach, Helge Möllmann and Tomasz Hermanowski. Their work appears in journals such as Cochrane Database of Systematic Reviews, The American Journal of Cardiology and Atherosclerosis.

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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