Ute Kunzmann

79 papers receiving 2.3k citations

Peers

Ute Kunzmann
Comparison fields: 5 of 125
  • Neuropsychology and Physiological Psychology 955
  • Applied Psychology 301
  • Health 447
  • Social Psychology 1.0k
  • Experimental and Cognitive Psychology 435
Replace Corinna E. Löckenhoff with:
Corinna E. Löckenhoff United States
Shevaun D. Neupert United States
Daniel Grühn United States
Daniela S. Jopp Switzerland
Suzanne L. Weaver United States
Jochen Brandtstädter Germany
Rocío Fernández Ballesteros Spain
Manfred Diehl United States
Andrew E. Reed United States
Juan C. Meléndez Spain
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Citations per field
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Corinna E. Löckenhoff · 1×
Citations per year

Countries citing papers authored by Ute Kunzmann

Since Specialization
Citations

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

Fields of papers citing papers by Ute Kunzmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 85 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000437
2 2005170
3 2005165
4 2005119
5 2005115
6 2010103
7 200298
8 200094
9 200478
10 201469
11 201569
12 201060
13 200852
14 201147
15 200932
16 201431
17 201729
18 201927
19 201626
20 201325

About Ute Kunzmann

Ute Kunzmann is a scholar working on Neuropsychology and Physiological Psychology, Social Psychology, Health, Experimental and Cognitive Psychology and Applied Psychology, having authored 85 papers that have together received 2.4k indexed citations. Recurring topics across this work include Aging and Gerontology Research (58 papers), Psychological Well-being and Life Satisfaction (33 papers), Health disparities and outcomes (20 papers), Optimism, Hope, and Well-being (7 papers), Identity, Memory, and Therapy (7 papers), Emotional Intelligence and Performance (4 papers), Psychological and Temporal Perspectives Research (4 papers) and Health and Well-being Studies (4 papers). The work is most often cited by research in Neuropsychology and Physiological Psychology (955 citations), Applied Psychology (301 citations), Health (447 citations), Social Psychology (1.0k citations) and Experimental and Cognitive Psychology (435 citations). Ute Kunzmann has collaborated with scholars based in Germany, United States and Czechia. Frequent co-authors include Jacqui Smith, Todd D. Little, David Richter, Daniel Grühn, Ursula M. Staudinger, Paul B. Baltes, Robert W. Levenson, Carsten Wrosch, Cathleen Kappes and Christoph Dietzel. Their work appears in journals such as Psychology and Aging, The Journals of Gerontology Series B, Innovation in Aging, Emotion and Journal of Marriage and the Family.

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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