Eva-Maria Meßner

48 papers receiving 1.4k citations

Eva-Maria Meßner's Hit Papers

Validation of the Mobile Application Rating Scale (MARS) 2020 · 182 citations
1820+2+4Years since publication50100150

Peers

Eva-Maria Meßner
Comparison fields: 5 of 113
  • Applied Psychology 349
  • Experimental and Cognitive Psychology 238
  • General Health Professions 404
  • Clinical Psychology 184
  • Social Psychology 140
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Citations per year

Countries citing papers authored by Eva-Maria Meßner

Since Specialization
Citations

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

Fields of papers citing papers by Eva-Maria Meßner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eva-Maria Meßner. 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 Eva-Maria Meßner. The network helps show where Eva-Maria Meßner may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Validation of the Mobile Application Rating Scale (MARS)
Hit paper breakdown →
2020182
2 2019120
3 2021108
4 2019102
5 202079
6 202169
7 202062
8 201953
9 202052
10 202047
11 202140
12 201937
13 201933
14 202033
15 202131
16 202127
17 202026
18 202125
19 202123
20 202322

About Eva-Maria Meßner

Eva-Maria Meßner is a scholar working on Applied Psychology, General Health Professions, Experimental and Cognitive Psychology, Clinical Psychology and Social Psychology, having authored 49 papers that have together received 1.4k indexed citations. Recurring topics across this work include Digital Mental Health Interventions (22 papers), Mobile Health and mHealth Applications (18 papers), Emotion and Mood Recognition (7 papers), Impact of Technology on Adolescents (6 papers), Behavioral Health and Interventions (5 papers), Sentiment Analysis and Opinion Mining (5 papers), Mental Health Research Topics (4 papers) and Humor Studies and Applications (3 papers). The work is most often cited by research in Applied Psychology (349 citations), Experimental and Cognitive Psychology (238 citations), General Health Professions (404 citations), Clinical Psychology (184 citations) and Social Psychology (140 citations). Eva-Maria Meßner has collaborated with scholars based in Germany, Austria and United Kingdom. Frequent co-authors include Harald Baumeister, Yannik Terhorst, Lasse Sander, Rüdiger Pryss, Dana Schultchen, Paula Philippi, Johannes Knitza, Björn W. Schuller, Thomas Probst and Martin Krusche. Their work appears in journals such as JMIR mhealth and uhealth, Journal of Medical Internet Research, Internet Interventions, Child and Adolescent Psychiatry and Mental Health and International Journal of Eating Disorders.

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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