Ted Schwaba

36 papers receiving 1.1k citations

Hit Papers

Personality stability and change: A meta-analysis of longitudinal studies. 2022 · 168 citations
168202220262023202450100150

Peers

Ted Schwaba
Comparison fields: 5 of 108
  • Applied Psychology 211
  • Neuropsychology and Physiological Psychology 62
  • Experimental and Cognitive Psychology 308
  • Clinical Psychology 413
  • Social Psychology 311
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Citations per year

Countries citing papers authored by Ted Schwaba

Since Specialization
Citations

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

Fields of papers citing papers by Ted Schwaba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Personality stability and change: A meta-analysis of longitudinal studies.
Hit paper breakdown →
2022168
2 2020150
3 2017100
4 201489
5 201781
6 201659
7 201854
8 202043
9 201940
10 201835
11 202133
12 202127
13 202027
14 201927
15 202225
16 201924
17 202117
18 202316
19 202015
20 202313

About Ted Schwaba

Ted Schwaba is a scholar working on Neuropsychology and Physiological Psychology, Applied Psychology, Experimental and Cognitive Psychology, Health and Social Psychology, having authored 37 papers that have together received 1.1k indexed citations. Recurring topics across this work include Personality Traits and Psychology (7 papers), Aging and Gerontology Research (6 papers), Optimism, Hope, and Well-being (5 papers), Psychological Well-being and Life Satisfaction (5 papers), Personality Disorders and Psychopathology (5 papers), Psychological and Temporal Perspectives Research (4 papers), Identity, Memory, and Therapy (4 papers) and Cognitive Abilities and Testing (4 papers). The work is most often cited by research in Applied Psychology (211 citations), Neuropsychology and Physiological Psychology (62 citations), Experimental and Cognitive Psychology (308 citations), Clinical Psychology (413 citations) and Social Psychology (311 citations). Ted Schwaba has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Wiebke Bleidorn, Christopher J. Hopwood, Sophia Chen, Jaap J. A. Denissen, Alexis Hope, Anne Marie Piper, Daniel A. Briley, Brent W. Roberts, Anqing Zheng and Maike Luhmann. Their work appears in journals such as Journal of Personality and Social Psychology, Social Psychological and Personality Science, Journal of Personality, Journal of Research in Personality and European Journal of Personality.

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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