Páll Jónsson

2.3k total citations
41 papers, 1.4k citations indexed

About

Páll Jónsson is a scholar working on Economics and Econometrics, General Health Professions and Statistics and Probability. According to data from OpenAlex, Páll Jónsson has authored 41 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Economics and Econometrics, 8 papers in General Health Professions and 7 papers in Statistics and Probability. Recurrent topics in Páll Jónsson's work include Health Systems, Economic Evaluations, Quality of Life (29 papers), Pharmaceutical Economics and Policy (14 papers) and Advanced Causal Inference Techniques (6 papers). Páll Jónsson is often cited by papers focused on Health Systems, Economic Evaluations, Quality of Life (29 papers), Pharmaceutical Economics and Policy (14 papers) and Advanced Causal Inference Techniques (6 papers). Páll Jónsson collaborates with scholars based in United Kingdom, United States and Netherlands. Páll Jónsson's co-authors include Paul A. Bates, Daniel Zicha, Jacoline C. Bouvy, Wim Goettsch, Puja Myles, Chris Holmes, Gary S. Collins, Bilal A. Mateen, Richard D. Branson and Dalia Dawoud and has published in prestigious journals such as Bioinformatics, Journal of Molecular Biology and BMJ.

In The Last Decade

Páll Jónsson

39 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Páll Jónsson United Kingdom 15 436 335 171 167 134 41 1.4k
Sean Khozin United States 27 959 2.2× 353 1.1× 118 0.7× 160 1.0× 67 0.5× 69 3.6k
Kenneth Jung United States 19 879 2.0× 96 0.3× 314 1.8× 409 2.4× 97 0.7× 27 2.5k
Mia Levy United States 22 630 1.4× 115 0.3× 50 0.3× 345 2.1× 77 0.6× 102 2.1k
Juan M. Banda United States 18 296 0.7× 108 0.3× 60 0.4× 568 3.4× 108 0.8× 62 1.5k
Arjun K. Manrai United States 24 738 1.7× 97 0.3× 216 1.3× 227 1.4× 34 0.3× 55 2.3k
Seng Chan You South Korea 23 146 0.3× 156 0.5× 78 0.5× 184 1.1× 32 0.2× 125 2.0k
Vojtech Huser United States 18 409 0.9× 143 0.4× 72 0.4× 426 2.6× 48 0.4× 56 1.7k
Taxiarchis Botsis United States 20 412 0.9× 64 0.2× 129 0.8× 569 3.4× 141 1.1× 59 1.9k
Paul Avillach United States 29 351 0.8× 88 0.3× 27 0.2× 177 1.1× 162 1.2× 83 2.1k
Mary Regina Boland United States 22 378 0.9× 53 0.2× 72 0.4× 346 2.1× 69 0.5× 72 1.3k

Countries citing papers authored by Páll Jónsson

Since Specialization
Citations

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

Fields of papers citing papers by Páll Jónsson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Páll Jónsson

This figure shows the co-authorship network connecting the top 25 collaborators of Páll Jónsson. A scholar is included among the top collaborators of Páll Jónsson 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 Páll Jónsson. Páll Jónsson 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
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Kent, Seamus, Páll Jónsson, Ivy Altomare, et al.. (2023). Evaluation of US oncology electronic health record real-world data to reduce uncertainty in health technology appraisals: a retrospective cohort study. BMJ Open. 13(10). e074559–e074559. 4 indexed citations
3.
King‐Kallimanis, Bellinda L., Melanie Calvert, David Cella, et al.. (2023). Perspectives on Patient-Reported Outcome Data After Treatment Discontinuation in Cancer Clinical Trials. Value in Health. 26(10). 1543–1548. 2 indexed citations
4.
Walpole, Sarah, et al.. (2023). Environmental impact assessment in health technology assessment: principles, approaches, and challenges. International Journal of Technology Assessment in Health Care. 39(1). e13–e13. 31 indexed citations
5.
Kent, Seamus, Shrujal S. Baxi, Amy L. Copeland, et al.. (2022). P14 Exploring the Potential for EHR-Derived Real-World Data to Reduce Uncertainty in HTA Decision-Making: A Case Study of Long-Term Survival Outcomes. Value in Health. 25(1). S3–S4. 1 indexed citations
6.
Capkun, Gorana, Cláudia Furtado, Páll Jónsson, et al.. (2022). Can we use existing guidance to support the development of robust real-world evidence for health technology assessment/payer decision-making?. International Journal of Technology Assessment in Health Care. 38(1). e79–e79. 14 indexed citations
7.
Kent, Seamus, Maximilian Salcher‐Konrad, Stefania Boccia, et al.. (2021). The use of nonrandomized evidence to estimate treatment effects in health technology assessment. Journal of Comparative Effectiveness Research. 10(14). 1035–1043. 17 indexed citations
8.
Jónsson, Páll, Seamus Kent, Amy L. Copeland, et al.. (2021). PCN170 Can Early U.S. Adoption of Cancer Drugs Inform HTA Decision-Making?. Value in Health. 24. S51–S51. 1 indexed citations
9.
Kent, Seamus, Edward Burn, Dalia Dawoud, et al.. (2020). Common Problems, Common Data Model Solutions: Evidence Generation for Health Technology Assessment. PharmacoEconomics. 39(3). 275–285. 55 indexed citations
10.
Dawoud, Dalia, et al.. (2020). PNS133 The Use of the Sandbox Approach in the Context of HTA: A Literature Review. Value in Health. 23. S663–S663. 1 indexed citations
11.
Dekker, Marieke J. H. J., Jacoline C. Bouvy, Robin Thompson, et al.. (2019). Alignment of European Regulatory and Health Technology Assessments: A Review of Licensed Products for Alzheimer's Disease. Frontiers in Medicine. 6. 73–73. 13 indexed citations
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Makady, Amr, Bettina Ryll, Keith R. Abrams, et al.. (2017). Practicalities Of Using Real-World Evidence (RWE) In Comparative Effectiveness Research (CER): Learnings From Imi-Getreal. Value in Health. 20(9). A692–A692.
14.
Jónsson, Páll, et al.. (2016). A Framework To Guide The Use Of Real-World Evidence To Support Evaluation Of Relative Effectiveness Of New Medicines. Value in Health. 19(7). A488–A488. 2 indexed citations
15.
Happich, Michael, Alan Brnabic, D Faries, et al.. (2016). Reweighting Rct Evidence To Better Reflect Real Life: A Case Study of The Innovation Medicines Initiative. Value in Health. 19(7). A711–A711. 2 indexed citations
16.
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Jenkins, David, et al.. (2014). Evaluation of Methods for the Inclusion of Real World Evidence in Network Meta-Analysis – A Case Study in Multiple Sclerosis. Value in Health. 17(7). A576–A576. 7 indexed citations
18.
Houten, Rachel, Allan Wailoo, Páll Jónsson, & C McLeod. (2013). Variations in primary care prescribing: lessons to be learnt for GP commissioners. Primary Health Care Research & Development. 15(1). 111–116.
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Contreras‐Moreira, Bruno, Páll Jónsson, & Paul A. Bates. (2003). Structural Context of Exons in Protein Domains: Implications for Protein Modelling and Design. Journal of Molecular Biology. 333(5). 1045–1059. 8 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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