Javier Mar
Impact in
- Hepatology top 5%
- Hepatitis C virus research
- Rehabilitation top 5%
- Stroke Rehabilitation and Recovery
Papers in
- Epidemiology 25
- Chronic Disease Management Strategies 7
- Acute Ischemic Stroke Management 7
- Hepatitis B Virus Studies 5
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- Health Systems, Economic Evaluations, Quality of Life 14
- Co-authors
- Arantzazu Arrospide (60 shared papers)Jörgen Möller (2 shared papers)Alan Brennan (2 shared papers)James E. Stahl (2 shared papers)Jonathan Karnon (2 shared papers)J. Jaime (3 shared papers)Fernando Antoñanzas (6 shared papers)Juan Oliva (3 shared papers)
- Journals
- Value in Health (9 papers)Journal of Alzheimer s Disease (6 papers)BMC Cancer (4 papers)Medical Decision Making (4 papers)PLoS ONE (3 papers)
- Partner nations
- SpainUnited StatesUnited Kingdom
In The Last Decade
Javier Mar
143 papers receiving 3.0k citations
Javier Mar's Hit Papers
Peers
Comparison fields: 5 of 149
- Hepatology 197
- Rehabilitation 115
- Emergency Medical Services 114
- Modeling and Simulation 82
- Family Practice 29
Countries citing papers authored by Javier Mar
This map shows the geographic impact of Javier Mar'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 Javier Mar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Javier Mar more than expected).
Fields of papers citing papers by Javier Mar
This network shows the impact of papers produced by Javier Mar. 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 Javier Mar. The network helps show where Javier Mar may publish in the future.
Co-authors
The 25 scholars most cited alongside Javier Mar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 151 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Modeling Using Discrete Event Simulation Hit paper breakdown → | 2012 | 274 |
| 2 | 2009 | 246 | |
| 3 | 2010 | 201 | |
| 4 | 2012 | 174 | |
| 5 | 1996 | 162 | |
| 6 | 2003 | 83 | |
| 7 | 2017 | 76 | |
| 8 | 2001 | 76 | |
| 9 | 2016 | 74 | |
| 10 | 2005 | 63 | |
| 11 | 2021 | 60 | |
| 12 | 2011 | 58 | |
| 13 | 2004 | 52 | |
| 14 | 2009 | 44 | |
| 15 | 2014 | 43 | |
| 16 | 2008 | 39 | |
| 17 | 2019 | 37 | |
| 18 | 2020 | 35 | |
| 19 | 2015 | 34 | |
| 20 | 2013 | 33 |
About Javier Mar
Javier Mar is a scholar working on Epidemiology, Economics and Econometrics, Hepatology, Surgery and Psychiatry and Mental health, having authored 151 papers that have together received 3.1k indexed citations. Recurring topics across this work include Health Systems, Economic Evaluations, Quality of Life (14 papers), Hepatitis C virus research (13 papers), Dementia and Cognitive Impairment Research (12 papers), Chronic Disease Management Strategies (7 papers), Acute Ischemic Stroke Management (7 papers), COVID-19 epidemiological studies (6 papers), SARS-CoV-2 and COVID-19 Research (6 papers) and Hepatitis B Virus Studies (5 papers). The work is most often cited by research in Hepatology (197 citations), Rehabilitation (115 citations), Emergency Medical Services (114 citations), Modeling and Simulation (82 citations) and Family Practice (29 citations). Javier Mar has collaborated with scholars based in Spain, United States and United Kingdom. Frequent co-authors include Arantzazu Arrospide, Jörgen Möller, Alan Brennan, James E. Stahl, Jonathan Karnon, J. Jaime, Fernando Antoñanzas, Juan Oliva, Ramón Gisbert and Jaume Puig‐Junoy. Their work appears in journals such as Value in Health, Journal of Alzheimer s Disease, BMC Cancer, Medical Decision Making and PLoS ONE.
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.