Daniel Zimprich

3.1k total citations
86 papers, 2.1k citations indexed

About

Daniel Zimprich is a scholar working on Neuropsychology and Physiological Psychology, Experimental and Cognitive Psychology and Cognitive Neuroscience. According to data from OpenAlex, Daniel Zimprich has authored 86 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Neuropsychology and Physiological Psychology, 34 papers in Experimental and Cognitive Psychology and 32 papers in Cognitive Neuroscience. Recurrent topics in Daniel Zimprich's work include Aging and Gerontology Research (39 papers), Identity, Memory, and Therapy (26 papers) and Dementia and Cognitive Impairment Research (21 papers). Daniel Zimprich is often cited by papers focused on Aging and Gerontology Research (39 papers), Identity, Memory, and Therapy (26 papers) and Dementia and Cognitive Impairment Research (21 papers). Daniel Zimprich collaborates with scholars based in Germany, Switzerland and United States. Daniel Zimprich's co-authors include Mathias Allemand, Mike Martin, Matthias Kliegel, Philippe Rast, Christopher Hertzog, Anna Mascherek, A.A. Jolijn Hendriks, Margie E. Lachman, Marja Aartsen and Hans‐Werner Wahl and has published in prestigious journals such as Developmental Psychology, Personality and Individual Differences and Frontiers in Psychology.

In The Last Decade

Daniel Zimprich

85 papers receiving 2.0k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniel Zimprich Germany 26 788 541 517 514 414 86 2.1k
Michael Rönnlund Sweden 30 913 1.2× 368 0.7× 790 1.5× 851 1.7× 289 0.7× 69 2.7k
José Miguel Latorre Spain 29 629 0.8× 731 1.4× 326 0.6× 638 1.2× 283 0.7× 131 2.5k
Jason C. Allaire United States 24 538 0.7× 562 1.0× 621 1.2× 335 0.7× 464 1.1× 71 2.5k
Andrea M. Piccinin Canada 27 348 0.4× 613 1.1× 572 1.1× 295 0.6× 265 0.6× 65 2.4k
Jorge J. Ricarte Spain 26 615 0.8× 531 1.0× 275 0.5× 458 0.9× 117 0.3× 112 1.9k
Jeanine M. Parisi United States 24 642 0.8× 226 0.4× 825 1.6× 440 0.9× 391 0.9× 56 2.1k
Simon Forstmeier Germany 24 305 0.4× 856 1.6× 479 0.9× 408 0.8× 249 0.6× 100 2.3k
Alfons Marcoen Belgium 24 828 1.1× 1.3k 2.4× 631 1.2× 814 1.6× 304 0.7× 68 3.5k
Elena Cavallini Italy 25 440 0.6× 203 0.4× 362 0.7× 543 1.1× 245 0.6× 69 1.4k
Christina Röcke Switzerland 20 607 0.8× 250 0.5× 218 0.4× 362 0.7× 436 1.1× 47 1.8k

Countries citing papers authored by Daniel Zimprich

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Zimprich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Zimprich

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Zimprich. A scholar is included among the top collaborators of Daniel Zimprich 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 Daniel Zimprich. Daniel Zimprich is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Zimprich, Daniel, et al.. (2025). Cross-sectional age differences in fading affect bias: A latent change score model approach.. Psychology and Aging. 40(6). 594–609. 2 indexed citations
2.
3.
Zimprich, Daniel, et al.. (2024). Predicting the likelihood and amount of fading, fixed, flourishing, and flexible positive and negative affect of autobiographical memories. Memory & Cognition. 52(4). 872–893. 3 indexed citations
4.
Zimprich, Daniel, et al.. (2024). Age-related differences in trait affect: Establishing measurement invariance of the Positive and Negative Affect Schedule (PANAS).. Psychology and Aging. 39(6). 618–631. 1 indexed citations
5.
Zimprich, Daniel, et al.. (2023). Characteristics of positive and negative autobiographical memories central to identity: emotionality, vividness, rehearsal, rumination, and reflection. Frontiers in Psychology. 14. 1225068–1225068. 4 indexed citations
6.
Zimprich, Daniel, et al.. (2022). Output order effects in autobiographical memory in old age: further evidence for an emotional organisation. Memory & Cognition. 51(1). 23–37. 4 indexed citations
7.
Zimprich, Daniel, et al.. (2021). The valence and the functions of autobiographical memories: Does intensity matter?. Consciousness and Cognition. 91. 103119–103119. 14 indexed citations
8.
Zimprich, Daniel, et al.. (2020). What characterizes the reminiscence bump in autobiographical memory? New answers to an old question. Memory & Cognition. 48(4). 607–622. 8 indexed citations
9.
Williams, Donald R., Daniel Zimprich, & Philippe Rast. (2019). A Bayesian nonlinear mixed-effects location scale model for learning. Behavior Research Methods. 51(5). 1968–1986. 21 indexed citations
10.
Zimprich, Daniel, et al.. (2018). Leveling up the analysis of the reminiscence bump in autobiographical memory: A new approach based on multilevel multinomial models. Memory & Cognition. 46(7). 1178–1193. 12 indexed citations
11.
Zimprich, Daniel, et al.. (2015). Subjective and Objective Memory Changes in Old Age across Five Years. Gerontology. 61(3). 223–231. 16 indexed citations
12.
Zimprich, Daniel, et al.. (2015). How can individual differences in autobiographical memory distributions of older adults be explained?. Memory. 24(9). 1287–1299. 14 indexed citations
13.
Zimprich, Daniel, et al.. (2014). Individual Differences in Subjective Organization and Verbal Learning in Old Age. Experimental Aging Research. 40(5). 531–554. 6 indexed citations
14.
Zimprich, Daniel, et al.. (2013). Individual differences and predictors of forgetting in old age: The role of processing speed and working memory. Aging Neuropsychology and Cognition. 20(2). 195–219. 17 indexed citations
15.
Zimprich, Daniel & Anna Mascherek. (2010). Five views of a secret: does cognition change during middle adulthood?. European Journal of Ageing. 7(3). 135–146. 31 indexed citations
16.
Rast, Philippe & Daniel Zimprich. (2009). Age Differences in the Underconfidence-With-Practice Effect. Experimental Aging Research. 35(4). 400–431. 24 indexed citations
17.
Zimprich, Daniel & Philippe Rast. (2009). Verbal Learning Changes in Older Adults Across 18 Months. Aging Neuropsychology and Cognition. 16(4). 461–484. 10 indexed citations
18.
Zimprich, Daniel, et al.. (2008). Typical Intellectual Engagement and Cognition in Old Age. Aging Neuropsychology and Cognition. 15(2). 208–231. 28 indexed citations
19.
Martin, Mike & Daniel Zimprich. (2003). Are Changes in Cognitive Functioning in Older Adults Related to Changes in Subjective Complaints?. Experimental Aging Research. 29(3). 335–352. 25 indexed citations
20.
Zimprich, Daniel. (2002). Cross-sectionally and Longitudinally Balanced Effects of Processing Speed on Intellectual Abilities. Experimental Aging Research. 28(3). 231–251. 24 indexed citations

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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