Maciej Niewada

4.5k total citations · 1 hit paper
128 papers, 3.2k citations indexed

About

Maciej Niewada is a scholar working on Economics and Econometrics, Epidemiology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Maciej Niewada has authored 128 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Economics and Econometrics, 35 papers in Epidemiology and 23 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Maciej Niewada's work include Health Systems, Economic Evaluations, Quality of Life (42 papers), Acute Ischemic Stroke Management (29 papers) and Pharmaceutical Economics and Policy (15 papers). Maciej Niewada is often cited by papers focused on Health Systems, Economic Evaluations, Quality of Life (42 papers), Acute Ischemic Stroke Management (29 papers) and Pharmaceutical Economics and Policy (15 papers). Maciej Niewada collaborates with scholars based in Poland, United States and Netherlands. Maciej Niewada's co-authors include Dominik Golicki, A. Simon Pickard, Mathieu F. Janssen, Jan J.V. Busschbach, Claire Gudex, L Scalone, Paul Swinburn, Anna Członkowska, Adam Kobayashi and Michał Jakubczyk and has published in prestigious journals such as Stroke, Cochrane Database of Systematic Reviews and European Heart Journal.

In The Last Decade

Maciej Niewada

121 papers receiving 3.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Measurement properties of the EQ-5D-5L compared to the EQ-5D-3L across eight patient groups: a multi-country study

2012 1.1k citations Dominik Golicki, Maciej Niewada et al. profile →

Peers

Maciej Niewada

EPIDE

GHP

CCM

REHAB

Dominik Golicki Poland

Daria O’Reilly Canada

Mathieu F. Janssen Netherlands

You‐Shan Feng Germany

Holger Gothe Germany

Wilma J.M. Scholte op Reimer Netherlands

David A. Ganz United States

Kathleen Strong Switzerland

Susan Kirkland Canada

Oliver Senn Switzerland

Dominik Golicki Poland

Maciej Niewada

1.7k ×1.7

541 ×0.7

EPIDE

921 ×1.6

GHP

336 ×0.8

CCM

230 ×0.7

REHAB

Citations per year, relative to Maciej Niewada Maciej Niewada (= 1×) peers Dominik Golicki

Countries citing papers authored by Maciej Niewada

Since Specialization

Citations

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

Fields of papers citing papers by Maciej Niewada

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maciej Niewada

This figure shows the co-authorship network connecting the top 25 collaborators of Maciej Niewada. A scholar is included among the top collaborators of Maciej Niewada 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 Maciej Niewada. Maciej Niewada is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Karliński, Michał, et al.. (2025). Secondary Prevention of AFAIS: Deploying Traditional Regression, Machine Learning, and Deep Learning Models to Validate and Update CHA2DS2-VASc for 90-Day Recurrence. Journal of Clinical Medicine. 14(20). 7327–7327.

Czech, Marcin, Ewa Augustynowicz, Teresa Jackowska, et al.. (2024). Improving Vaccine Assessment Pathways and Decision Making in the Polish Immunization Program. Vaccines. 12(3). 286–286.

Jabłoński, Mirosław, et al.. (2023). Reimbursement decision-making system in Poland systematically compared to other countries. Frontiers in Pharmacology. 14. 1153680–1153680. 2 indexed citations

Stamuli, Eugena, et al.. (2022). Patient Preferences for Breast Cancer Treatments: A Discrete Choice Experiment in France, Ireland, Poland and Spain. Future Oncology. 18(9). 1115–1132. 11 indexed citations

Banach, Maciej, Jarosław Kaźmierczak, Przemysław Mitkowski, et al.. (2022). Which patients at risk of cardiovascular disease might benefit the most from inclisiran? – The expert opinion of the Polish experts. The compromise between EBM and possibilities in healthcare.. Archives of Medical Science. 18(3). 569–576. 12 indexed citations

Brodszky, Valentin, Petra Baji, Fanni Rencz, et al.. (2019). Cost-of-illness studies in nine Central and Eastern European countries. The European Journal of Health Economics. 20(S1). 155–172. 22 indexed citations

Niewada, Maciej, et al.. (2019). Multiple Criteria Decision Analysis (MCDA) for Health Care Decision Making – overview of guidelines. 1–1. 1 indexed citations

Niewada, Maciej, et al.. (2019). Comparison of tobacco heating products and conventional cigarette: a systematic review. 17–17. 1 indexed citations

Małecki, Maciej T., Elżbieta Kozek, Dorota Zozulińska‐Ziółkiewicz, et al.. (2017). Polish Forum for Prevention Guidelines on Diabetes: update 2017. Kardiologia Polska. 75(6). 628–631. 2 indexed citations

10.

Filipiak‬, Krzysztof J., et al.. (2016). Health outcomes and economic consequences of using angiotensin-converting enzyme inhibitors in comparison with angiotensin receptor blockers in the treatment of arterial hypertension in the contemporary Polish setting. Kardiologia Polska. 74(9). 1016–1024. 2 indexed citations

11.

Jakubczyk, Michał, et al.. (2014). Risk of severe hypoglycaemia for various treatment regimens – a systematic review and meta-analysis of observational studies. 76–93. 2 indexed citations

12.

Gulàcsi, László, Alexandru Rotar, Maciej Niewada, et al.. (2014). Health technology assessment in Poland, the Czech Republic, Hungary, Romania and Bulgaria. The European Journal of Health Economics. 15(S1). 13–25. 67 indexed citations

13.

Golicki, Dominik, et al.. (2013). Is extending of a TTO experiment to 23 states per respondent justifiable? An empirical answer from Polish EQ-5D valuation study. 110–117. 1 indexed citations

14.

Jakubczyk, Michał, et al.. (2013). Treatment Related Severe Hypoglycaemia Risk In Diabetes Type-1 And Type-2–A Systematic Review Of Observational Studies. Value in Health. 16(3). A159–A159. 1 indexed citations

15.

Ługowska, Iwona, et al.. (2012). Stage III/IV Melanoma in Poland: epidemiology, standard of care and treatment related costs. 41–47. 4 indexed citations

16.

Niewada, Maciej, et al.. (2011). Porównanie kosztów terapii lekami omijającymi inhibitor w leczeniu łagodnych i umiarkowanych krwawień u chorych z hemofilią wrodzoną powikłaną inhibitorem w Polsce. Via Medica Journals. 4(3). 115–122.

17.

Steciwko, Andrzej, Andrzej Januszewicz, Grzegorz Opolski, et al.. (2008). Antihypertensive treatment among 75 thousand patients in primary care settings - POZ-NAD study. Arterial Hypertension. 12(2). 101–108. 1 indexed citations

18.

Wilimski, Radosław & Maciej Niewada. (2006). Costs of ineffective hypertension treatment. Arterial Hypertension. 10(6). 551–560. 2 indexed citations

19.

Pietrasik, Arkadiusz, et al.. (2006). The cost comparison of rhythm and rate control strategies in persistent atrial fibrillation. International Journal of Cardiology. 118(1). 21–27. 17 indexed citations

20.

Kinalska, I, et al.. (2004). Cost of Diabetes Type 2 in Poland (CODIP). Clinical Diabetology. 5(1). 1–8. 2 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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