A. Jaksa

451 citations
32 papers · 280 · h-index 7

Impact in

Papers in

A. Jaksa

29 papers receiving 269 citations

Peers

A. Jaksa
Comparison fields: 5 of 70
  • Health Informatics 9
  • Statistics and Probability 48
  • Economics and Econometrics 115
  • Applied Psychology 14
  • General Health Professions 44
Replace Nirosha Mahendraratnam with:
Nirosha Mahendraratnam United States
Benjamin Gregory Carlisle Canada
Kevin M. Fain United States
Kim Luijken Netherlands
Alexander Pate United Kingdom
Alind Gupta Canada
Jonas Häggström United States
Bogdan Grigore United Kingdom
Chiara Whichello United States
Juan Carlos Rejón-Parrilla United Kingdom
A. Jaksa relative to Nirosha Mahendraratnam United States Nirosha Mahendraratnam's profile →
Citations per field
00.5×
Nirosha Mahendraratnam · 1×
Citations per year

Countries citing papers authored by A. Jaksa

Since Specialization
Citations

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

Fields of papers citing papers by A. Jaksa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside A. Jaksa, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with A. Jaksa Line = papers co-authored together A. Jaksa links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202288
2 202148
3 202139
4 202233
5 202212
6 202212
7 20167
8 20245
9 20174
10 20144
11 20133
12 20183
13 20252
14 20252
15 20152
16 20152
17 20251
18 20231
19 20251
20 20171

About A. Jaksa

A. Jaksa is a scholar working on Economics and Econometrics, Public Health, Environmental and Occupational Health, Pediatrics, Perinatology and Child Health, Pharmacology and Statistics and Probability, having authored 32 papers that have together received 280 indexed citations. Recurring topics across this work include Health Systems, Economic Evaluations, Quality of Life (28 papers), Pharmaceutical Economics and Policy (12 papers), Economic and Financial Impacts of Cancer (4 papers), Pharmaceutical industry and healthcare (3 papers), Pharmaceutical studies and practices (3 papers), Advanced Causal Inference Techniques (2 papers), Innovation Policy and R&D (2 papers) and Economic and Environmental Valuation (2 papers). The work is most often cited by research in Health Informatics (9 citations), Statistics and Probability (48 citations), Economics and Econometrics (115 citations), Applied Psychology (14 citations) and General Health Professions (44 citations). A. Jaksa has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Nicolle M. Gatto, Páll Jónsson, Ulka B. Campbell, Robert F. Reynolds, James J. Wu, Hans‐Georg Eichler, Jingping Mo, Holger Muehlan, Annika Herr and Nirosha Mahendraratnam. Their work appears in journals such as Value in Health, Journal of Clinical Oncology, Clinical Pharmacology & Therapeutics, Clinical Cancer Research and International Journal of Technology Assessment in Health Care.

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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