Daniel Mauss

26 papers receiving 763 citations

Peers

Daniel Mauss
Comparison fields: 5 of 93
  • Behavioral Neuroscience 90
  • Cardiology and Cardiovascular Medicine 251
  • General Health Professions 211
  • Experimental and Cognitive Psychology 72
  • Applied Psychology 21
Replace Carol A. Dolan with:
Carol A. Dolan United States
Nicola J. Paine United Kingdom
Jeongok G. Logan United States
Mark P. Roy United Kingdom
Erica M. Jackson United States
Lennart Forsman Sweden
Kyung Bong Koh South Korea
Zoë Jenkins Australia
Lynn A. Rossy United States
Sisitha Jayasinghe Australia
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Citations per year

Countries citing papers authored by Daniel Mauss

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Mauss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel Mauss, 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 Daniel Mauss Line = papers co-authored together Daniel Mauss links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013171
2 2014108
3 201268
4 201460
5 201241
6 201237
7 201533
8 201632
9 201531
10 201330
11 201828
12 201421
13 201620
14 202120
15 201316
16 201214
17 201612
18 202111
19 20228
20 20207

About Daniel Mauss

Daniel Mauss is a scholar working on General Health Professions, Cardiology and Cardiovascular Medicine, Social Psychology, Psychiatry and Mental health and Pharmacology, having authored 27 papers that have together received 798 indexed citations. Recurring topics across this work include Workplace Health and Well-being (13 papers), Heart Rate Variability and Autonomic Control (5 papers), Fibromyalgia and Chronic Fatigue Syndrome Research (4 papers), Stress and Burnout Research (2 papers), Musculoskeletal pain and rehabilitation (2 papers), Behavioral Health and Interventions (1 paper), Healthcare professionals’ stress and burnout (1 paper) and Mental Health Research Topics (1 paper). The work is most often cited by research in Behavioral Neuroscience (90 citations), Cardiology and Cardiovascular Medicine (251 citations), General Health Professions (211 citations), Experimental and Cognitive Psychology (72 citations) and Applied Psychology (21 citations). Daniel Mauss has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Marc N. Jarczok, Joachim E. Fischer, Jian Li, Julian F. Thayer, Julian Koenig, Raphael M. Herr, Peter Angerer, Burkhard Schmidt, Jos A. Bosch and Adrian Loerbroks. Their work appears in journals such as Stress, Journal of Occupational Medicine and Toxicology, American Journal of Industrial Medicine, Industrial Health and International Journal of Environmental Research and Public Health.

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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