Dominik Golicki

6.5k total citations · 2 hit papers
93 papers, 4.4k citations indexed

About

Dominik Golicki is a scholar working on Economics and Econometrics, General Health Professions and Surgery. According to data from OpenAlex, Dominik Golicki has authored 93 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Economics and Econometrics, 28 papers in General Health Professions and 14 papers in Surgery. Recurrent topics in Dominik Golicki's work include Health Systems, Economic Evaluations, Quality of Life (47 papers), Global Health Care Issues (16 papers) and Healthcare cost, quality, practices (9 papers). Dominik Golicki is often cited by papers focused on Health Systems, Economic Evaluations, Quality of Life (47 papers), Global Health Care Issues (16 papers) and Healthcare cost, quality, practices (9 papers). Dominik Golicki collaborates with scholars based in Poland, Netherlands and Hungary. Dominik Golicki's co-authors include A. Simon Pickard, Maciej Niewada, Mathieu F. Janssen, Jan J.V. Busschbach, L Scalone, Ben van Hout, Andrew Lloyd, You‐Shan Feng, Paul Kind and Thomas Kohlmann and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Cochrane Database of Systematic Reviews.

In The Last Decade

Dominik Golicki

91 papers receiving 4.3k citations

Hit Papers

Interim Scoring for the EQ-5D-5L: Mapping the EQ-5D-5L to... 2012 2026 2016 2021 2012 2012 400 800 1.2k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Dominik Golicki Poland 27 1.7k 921 708 541 415 93 4.4k
L Scalone Italy 23 1.7k 1.0× 868 0.9× 556 0.8× 477 0.9× 461 1.1× 84 5.1k
Mathieu F. Janssen Netherlands 28 2.4k 1.4× 1.3k 1.4× 726 1.0× 677 1.3× 536 1.3× 87 5.8k
M.H.M. Janssen United Kingdom 2 1.6k 1.0× 1.2k 1.3× 974 1.4× 711 1.3× 781 1.9× 2 6.2k
Rosalind Rabin United Kingdom 5 1.2k 0.7× 890 1.0× 899 1.3× 630 1.2× 520 1.3× 5 4.8k
Andrea Manca United Kingdom 35 1.8k 1.1× 846 0.9× 736 1.0× 381 0.7× 247 0.6× 108 4.6k
Danny Ruta United Kingdom 32 1.0k 0.6× 957 1.0× 949 1.3× 472 0.9× 454 1.1× 64 5.1k
Ben van Hout United Kingdom 29 2.4k 1.4× 1.0k 1.1× 1.6k 2.3× 511 0.9× 457 1.1× 76 5.6k
Larry M. Manheim United States 38 857 0.5× 1.6k 1.7× 1.0k 1.5× 521 1.0× 388 0.9× 92 5.0k
Richard Brooks United Kingdom 9 2.1k 1.3× 1.2k 1.4× 1.2k 1.7× 746 1.4× 627 1.5× 21 6.1k
M Deverill United Kingdom 14 1.8k 1.1× 1.0k 1.1× 405 0.6× 326 0.6× 283 0.7× 30 3.6k

Countries citing papers authored by Dominik Golicki

Since Specialization
Citations

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

Fields of papers citing papers by Dominik Golicki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dominik Golicki

This figure shows the co-authorship network connecting the top 25 collaborators of Dominik Golicki. A scholar is included among the top collaborators of Dominik Golicki 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 Dominik Golicki. Dominik Golicki 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
2.
Rencz, Fanni, Valentin Brodszky, László Gulàcsi, et al.. (2020). Parallel Valuation of the EQ-5D-3L and EQ-5D-5L by Time Trade-Off in Hungary. Value in Health. 23(9). 1235–1245. 72 indexed citations
3.
Wesołowska, Aleksandra, et al.. (2020). Implementation of the Reimbursement Cost of Human-Milk-Based Neonatal Therapy in Polish Health Care Service. Journal of Human Lactation. 36(3). 426–435. 2 indexed citations
4.
Djambazov, S., et al.. (2020). EQ-5D-5L Bulgarian population norms. The European Journal of Health Economics. 21(8). 1169–1178. 34 indexed citations
5.
Golicki, Dominik, et al.. (2020). Population norms of health-related quality of life in Moscow, Russia: the EQ-5D-5L-based survey. Quality of Life Research. 30(3). 831–840. 28 indexed citations
6.
Baji, Petra, M. Farkas, Dominik Golicki, et al.. (2020). Development of Population Tariffs for the CarerQol Instrument for Hungary, Poland and Slovenia: A Discrete Choice Experiment Study to Measure the Burden of Informal Caregiving. PharmacoEconomics. 38(6). 633–643. 10 indexed citations
7.
Baji, Petra, Werner Brouwer, Job van Exel, et al.. (2020). Validation of the Hungarian version of the CarerQol instrument in informal caregivers: results from a cross-sectional survey among the general population in Hungary. Quality of Life Research. 30(2). 629–641. 9 indexed citations
8.
Zrubka, Zsombor, Valentin Brodszky, László Gulàcsi, et al.. (2019). A comparison of European, Polish, Slovenian and British EQ-5D-3L value sets using a Hungarian sample of 18 chronic diseases. The European Journal of Health Economics. 20(S1). 119–132. 17 indexed citations
9.
Rupel, Valentina Prevolnik, Zsombor Zrubka, Fanni Rencz, et al.. (2019). EQ-5D studies in nervous system diseases in eight Central and East European countries: a systematic literature review. The European Journal of Health Economics. 20(S1). 109–117. 10 indexed citations
10.
Zrubka, Zsombor, Dominik Golicki, Petra Baji, et al.. (2019). Towards a Central-Eastern European EQ-5D-3L population norm: comparing data from Hungarian, Polish and Slovenian population studies. The European Journal of Health Economics. 20(S1). 141–154. 18 indexed citations
11.
Rencz, Fanni, et al.. (2019). PNS401 THE FIRST PARALLEL EQ-5D-3L AND EQ-5D-5L COMPOSITE TIME TRADE-OFF VALUATION STUDY IN EUROPE. Value in Health. 22. S833–S833. 1 indexed citations
12.
Niewada, Maciej, et al.. (2016). Systematic Review of Health State Utilities Based on the Eq-5d in Studies of Lymphomas. Value in Health. 19(7). A593–A593. 2 indexed citations
13.
Golicki, Dominik, Maciej Niewada, Julia Buczek, et al.. (2014). Validity of EQ-5D-5L in stroke. Quality of Life Research. 24(4). 845–850. 169 indexed citations
14.
Golicki, Dominik, Maciej Niewada, Ben van Hout, Mathieu F. Janssen, & A. Simon Pickard. (2014). Interim EQ-5D-5L Value Set for Poland: First Crosswalk Value Set in Central and Eastern Europe. Value in Health Regional Issues. 4. 19–23. 31 indexed citations
16.
Golicki, Dominik, et al.. (2013). Quality of Life in Patients with Ostomy in Poland: Multicentre Cross-Sectional Study Using WHOQOL-BREF Questionnaire. Value in Health. 16(7). A421–A421. 3 indexed citations
17.
Golicki, Dominik & Maciej Niewada. (2013). EQ-5D-5L Crosswalk Value Set for Poland. Value in Health. 16(7). A599–A599. 1 indexed citations
18.
Hermanowski, Tomasz, et al.. (2011). [Cost of lost productivity in pharmacoeconomics analysis. Part I. A systematic review of the literature].. PubMed. 65(1). 147–52. 3 indexed citations
19.
Niewada, Maciej, et al.. (2011). HT4 What Determines the Recommendations Issued by Polish Health Technology Agency (AHTAPol)?. Value in Health. 14(7). A241–A241. 2 indexed citations
20.
Golicki, Dominik, et al.. (2008). PMC31 VALUING EQ-5D WITH TIME TRADE-OFF FOR THE POLISH POPULATION. Value in Health. 11(6). A568–A569. 1 indexed citations

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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