Matthieu Pannaux
- Cardiology and Cardiovascular Medicine top 10%
- Endocrinology, Diabetes and Metabolism
- Pulmonary and Respiratory Medicine
- Economics and Econometrics
- Statistics and Probability
- Co-authors
- Michel KomajdaMichael BöhmJeffrey BorerPiotr PonikowskiRichard IsnardAlain Cohen‐SolalMarco MetraBurkert Pieske
- Topics
- Statistical Methods in Clinical Trials (3 papers)Heart Failure Treatment and Management (3 papers)Health Systems, Economic Evaluations, Quality of Life (2 papers)
- Cited by
- Cardiology and Cardiovascular MedicineFamily PracticeEndocrinology, Diabetes and Metabolism
- Journals
- Journal of the American College of CardiologyStatistics in MedicineEuropean Journal of Heart Failure
- Partner nations
- FranceUnited StatesItaly
In The Last Decade
Matthieu Pannaux
6 papers receiving 296 citations
Peers
Comparison fields: 5 of 39
- Cardiology and Cardiovascular Medicine 259
- Endocrinology, Diabetes and Metabolism 62
- Pulmonary and Respiratory Medicine 48
- Economics and Econometrics 19
- Statistics and Probability 17
Countries citing papers authored by Matthieu Pannaux
This map shows the geographic impact of Matthieu Pannaux'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 Matthieu Pannaux with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthieu Pannaux more than expected).
Fields of papers citing papers by Matthieu Pannaux
This network shows the impact of papers produced by Matthieu Pannaux. 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 Matthieu Pannaux. The network helps show where Matthieu Pannaux may publish in the future.
Co-authorship network of co-authors of Matthieu Pannaux
This figure shows the co-authorship network connecting the top 25 collaborators of Matthieu Pannaux. A scholar is included among the top collaborators of Matthieu Pannaux 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 Matthieu Pannaux. Matthieu Pannaux is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 26 | |
| 2 | 2 | |
| 3 | 20 | |
| 4 | 87 | |
| 5 | 13 | |
| 6 | 154 |
About Matthieu Pannaux
Matthieu Pannaux is a scholar working on Statistics and Probability, Cardiology and Cardiovascular Medicine and Genetics, having authored 6 papers that have together received 302 indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (3 papers), Heart Failure Treatment and Management (3 papers) and Health Systems, Economic Evaluations, Quality of Life (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (259 citations), Family Practice (10 citations) and Endocrinology, Diabetes and Metabolism (62 citations). Matthieu Pannaux has collaborated with scholars based in France, United States and Italy. Frequent co-authors include Michel Komajda, Michael Böhm, Jeffrey Borer, Piotr Ponikowski, Richard Isnard, Alain Cohen‐Solal, Marco Metra, Burkert Pieske, Adriaan A. Voors and Karl Swedberg. Their work appears in journals such as Journal of the American College of Cardiology, Statistics in Medicine and European Journal of Heart Failure.
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.