Anja Dieckmann

711 total citations
25 papers, 407 citations indexed

About

Anja Dieckmann is a scholar working on General Decision Sciences, Artificial Intelligence and Experimental and Cognitive Psychology. According to data from OpenAlex, Anja Dieckmann has authored 25 papers receiving a total of 407 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in General Decision Sciences, 6 papers in Artificial Intelligence and 6 papers in Experimental and Cognitive Psychology. Recurrent topics in Anja Dieckmann's work include Decision-Making and Behavioral Economics (8 papers), Emotion and Mood Recognition (5 papers) and Bayesian Modeling and Causal Inference (4 papers). Anja Dieckmann is often cited by papers focused on Decision-Making and Behavioral Economics (8 papers), Emotion and Mood Recognition (5 papers) and Bayesian Modeling and Causal Inference (4 papers). Anja Dieckmann collaborates with scholars based in Germany, Switzerland and United States. Anja Dieckmann's co-authors include Jörg Rieskamp, Rocío García‐Retamero, Peter M. Todd, Ulrich Hoffrage, Klaus R. Scherer, Marcello Mortillaro, Heiner Ellgring, Annika Wallin, Jens-Uwe Garbas and Susan Koeneke and has published in prestigious journals such as SHILAP Revista de lepidopterología, Frontiers in Psychology and Memory & Cognition.

In The Last Decade

Anja Dieckmann

25 papers receiving 391 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anja Dieckmann Germany 12 170 92 76 76 69 25 407
Judith Avrahami Israel 12 115 0.7× 150 1.6× 43 0.6× 76 1.0× 57 0.8× 35 445
Robert M. Roe United States 5 332 2.0× 246 2.7× 78 1.0× 82 1.1× 176 2.6× 7 588
Gregory J. Koop United States 8 90 0.5× 162 1.8× 31 0.4× 30 0.4× 46 0.7× 13 328
Bartosz Gula Austria 11 48 0.3× 42 0.5× 55 0.7× 23 0.3× 137 2.0× 22 346
Tatiana Lau United States 10 23 0.1× 91 1.0× 49 0.6× 25 0.3× 11 0.2× 16 356
Matt Jones United States 10 45 0.3× 181 2.0× 99 1.3× 12 0.2× 18 0.3× 26 378
David P. O'Brien United States 14 165 1.0× 111 1.2× 301 4.0× 16 0.2× 6 0.1× 38 682
Antonia Mantonakis Canada 8 40 0.2× 60 0.7× 14 0.2× 10 0.1× 33 0.5× 21 363
Dirk De Bock Belgium 18 32 0.2× 41 0.4× 46 0.6× 23 0.3× 25 0.4× 68 1.2k
Henry M. Halff United States 9 22 0.1× 68 0.7× 127 1.7× 21 0.3× 27 0.4× 20 374

Countries citing papers authored by Anja Dieckmann

Since Specialization
Citations

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

Fields of papers citing papers by Anja Dieckmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anja Dieckmann

This figure shows the co-authorship network connecting the top 25 collaborators of Anja Dieckmann. A scholar is included among the top collaborators of Anja Dieckmann 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 Anja Dieckmann. Anja Dieckmann 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.
Hassan, Teena, et al.. (2021). Automatic Estimation of Action Unit Intensities and Inference of Emotional Appraisals. IEEE Transactions on Affective Computing. 14(2). 1188–1200. 3 indexed citations
2.
Dieckmann, Anja, et al.. (2020). Thrilled or Upset: What Drives People to Share and Review Product Experiences?. OPUS (Aalen University). 12(2). 56–61. 1 indexed citations
3.
Dieckmann, Anja, et al.. (2019). Technologies Turning Future Brick-and-Mortar Stores into Data-Rich Environments. OPUS (Aalen University). 11(1). 48–53. 2 indexed citations
4.
Scherer, Klaus R., et al.. (2019). Investigating appraisal-driven facial expression and inference in emotion communication.. Emotion. 21(1). 73–95. 11 indexed citations
5.
Scherer, Klaus R., et al.. (2019). Dynamic Facial Expression of Emotion and Observer Inference. Frontiers in Psychology. 10. 508–508. 29 indexed citations
6.
Dieckmann, Anja, et al.. (2019). Emotion Expression from Different Angles: A Video Database for Facial Expressions of Actors Shot by a Camera Array. Archive ouverte UNIGE (University of Geneva). 35–41. 8 indexed citations
7.
Frank, Ronald E., et al.. (2016). Ethical Textile Consumption: Only a Question of Selflessness?. SHILAP Revista de lepidopterología. 8(1). 52–58. 2 indexed citations
8.
Dieckmann, Anja, et al.. (2014). Writ Large on Your Face: Observing Emotions Using Automatic Facial Analysis. SHILAP Revista de lepidopterología. 6(1). 52–58. 2 indexed citations
9.
Garbas, Jens-Uwe, et al.. (2013). Towards Robust Real-Time Valence Recognition from Facial Expressions for Market Research Applications. OPUS (Aalen University). 570–575. 19 indexed citations
10.
Gigerenzer, Gerd, Anja Dieckmann, & Wolfgang Gaissmaier. (2012). Efficient cognition through limited research. Max Planck Institute for Plasma Physics. 241–273. 10 indexed citations
11.
Katsikopoulos, Konstantinos V., et al.. (2012). Designed to Fit MindsInstitutions and Ecological Rationality. Oxford University Press eBooks. 410–427. 3 indexed citations
12.
Groeppel‐Klein, Andrea, et al.. (2010). Measurement of Emotions Elicited By Advertising. ACR North American Advances. 1 indexed citations
13.
Koeneke, Susan, Andreas Pedroni, Anja Dieckmann, Volker Bosch, & Lutz Jäncke. (2008). Individual preferences modulate incentive values: Evidence from functional MRI. Behavioral and Brain Functions. 4(1). 55–55. 27 indexed citations
14.
García‐Retamero, Rocío, Annika Wallin, & Anja Dieckmann. (2007). Does causal knowledge help us be faster and more frugal in our decisions?. Memory & Cognition. 35(6). 1399–1409. 22 indexed citations
15.
Dieckmann, Anja & Jörg Rieskamp. (2007). The influence of information redundancy on probabilistic inferences. Memory & Cognition. 35(7). 1801–1813. 68 indexed citations
16.
García‐Retamero, Rocío & Anja Dieckmann. (2006). UNA VISIÓN CRÍTICA DEL ENFOQUE DE LOS HEURÍSTICOS RÁPIDOS Y FRUGALES. Revista Latinoamericana de Psicología. 38(3). 509–522. 14 indexed citations
17.
García‐Retamero, Rocío, Ulrich Hoffrage, & Anja Dieckmann. (2006). When One Cue is not Enough: Combining Fast and Frugal Heuristics with Compound Cue Processing. Quarterly Journal of Experimental Psychology. 60(9). 1197–1215. 37 indexed citations
18.
Dieckmann, Anja & Peter M. Todd. (2005). Simple ways to construct search orders. eScholarship (California Digital Library). 26(26). 309–314. 17 indexed citations
19.
Dieckmann, Anja & Stefan Krauß. (2005). Wenn weniger Wissen mehr sein kann. Zeitschrift für Erziehungswissenschaft. 8(2). 187–201. 1 indexed citations
20.
Todd, Peter M. & Anja Dieckmann. (2004). Heuristics for Ordering Cue Search in Decision Making. Max Planck Institute for Plasma Physics. 17. 1393–1400. 26 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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