Tim Mathes
Impact in
- Family Practice top 0.2%
- Medication Adherence and Compliance
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- Meta-analysis and systematic reviews
Papers in
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- Meta-analysis and systematic reviews 26
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- Health Systems, Economic Evaluations, Quality of Life 19
- Co-authors
- Dawid Pieper (79 shared papers)Michaela Eikermann (21 shared papers)Sunya‐Lee Antoine (12 shared papers)Edmund Neugebauer (18 shared papers)Johannes Morche (7 shared papers)Thomas Jaschinski (4 shared papers)Oliver Kuß (5 shared papers)Tanja Rombey (14 shared papers)
In The Last Decade
Tim Mathes
130 papers receiving 3.9k citations
Tim Mathes's Hit Papers
Peers
Comparison fields: 5 of 165
- Family Practice 359
- Statistics, Probability and Uncertainty 364
- Geriatrics and Gerontology 127
- Applied Microbiology and Biotechnology 40
- General Health Professions 324
Countries citing papers authored by Tim Mathes
This map shows the geographic impact of Tim Mathes'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 Tim Mathes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim Mathes more than expected).
Fields of papers citing papers by Tim Mathes
This network shows the impact of papers produced by Tim Mathes. 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 Tim Mathes. The network helps show where Tim Mathes may publish in the future.
Co-authors
The 25 scholars most cited alongside Tim Mathes, 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 138 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Systematic review finds overlapping reviews were not mentioned in every other overview Hit paper breakdown → | 2014 | 748 |
| 2 | Medication adherence influencing factors—an (updated) overview of systematic reviews Hit paper breakdown → | 2019 | 318 |
| 3 | 2016 | 244 | |
| 4 | 2014 | 146 | |
| 5 | 2021 | 136 | |
| 6 | 2013 | 125 | |
| 7 | 2017 | 123 | |
| 8 | 2017 | 113 | |
| 9 | 2018 | 88 | |
| 10 | 2015 | 81 | |
| 11 | 2014 | 76 | |
| 12 | 2021 | 72 | |
| 13 | 2013 | 67 | |
| 14 | 2014 | 65 | |
| 15 | 2013 | 62 | |
| 16 | 2019 | 59 | |
| 17 | 2014 | 58 | |
| 18 | 2017 | 56 | |
| 19 | 2013 | 54 | |
| 20 | 2017 | 51 |
About Tim Mathes
Tim Mathes is a scholar working on Statistics, Probability and Uncertainty, Economics and Econometrics, Surgery, Pulmonary and Respiratory Medicine and General Health Professions, having authored 138 papers that have together received 4.0k indexed citations. Recurring topics across this work include Meta-analysis and systematic reviews (26 papers), Health Systems, Economic Evaluations, Quality of Life (19 papers), Medication Adherence and Compliance (9 papers), Respiratory Support and Mechanisms (7 papers), Clinical practice guidelines implementation (7 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (7 papers), Delphi Technique in Research (4 papers) and Congenital Diaphragmatic Hernia Studies (4 papers). The work is most often cited by research in Family Practice (359 citations), Statistics, Probability and Uncertainty (364 citations), Geriatrics and Gerontology (127 citations), Applied Microbiology and Biotechnology (40 citations) and General Health Professions (324 citations). Tim Mathes has collaborated with scholars based in Germany, Austria and Canada. Frequent co-authors include Dawid Pieper, Michaela Eikermann, Sunya‐Lee Antoine, Edmund Neugebauer, Johannes Morche, Thomas Jaschinski, Oliver Kuß, Tanja Rombey, Falk Hoffmann and Katharina Allers. Their work appears in journals such as Journal of Clinical Epidemiology, Systematic Reviews, BMC Medical Research Methodology, Research Synthesis Methods and Cochrane Database of Systematic Reviews.
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.