Anna Thorwart

646 total citations
28 papers, 433 citations indexed

About

Anna Thorwart is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology and Artificial Intelligence. According to data from OpenAlex, Anna Thorwart has authored 28 papers receiving a total of 433 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Cognitive Neuroscience, 15 papers in Developmental and Educational Psychology and 6 papers in Artificial Intelligence. Recurrent topics in Anna Thorwart's work include Memory and Neural Mechanisms (20 papers), Child and Animal Learning Development (15 papers) and Cognitive Science and Mapping (6 papers). Anna Thorwart is often cited by papers focused on Memory and Neural Mechanisms (20 papers), Child and Animal Learning Development (15 papers) and Cognitive Science and Mapping (6 papers). Anna Thorwart collaborates with scholars based in Germany, Australia and United Kingdom. Anna Thorwart's co-authors include Harald Lachnit, Mario Gollwitzer, Anna Schubö, Winfried Rief, Julia A. Glombiewski, Rainer K.W. Schwarting, Evan J. Livesey, Tanja Hechler, Dominik Endres and Holger Schultheis and has published in prestigious journals such as PLoS ONE, Frontiers in Psychology and Memory & Cognition.

In The Last Decade

Anna Thorwart

27 papers receiving 417 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anna Thorwart Germany 11 243 118 116 68 60 28 433
Pedro L. Cobos Spain 10 203 0.8× 107 0.9× 161 1.4× 49 0.7× 43 0.7× 35 365
Rupa Gupta United States 7 233 1.0× 79 0.7× 58 0.5× 56 0.8× 21 0.3× 10 339
Erik A. Wing United States 17 690 2.8× 130 1.1× 132 1.1× 68 1.0× 43 0.7× 24 856
Susan Gabrieli United States 4 572 2.4× 205 1.7× 75 0.6× 89 1.3× 149 2.5× 6 759
Ana Catarino United Kingdom 10 443 1.8× 144 1.2× 48 0.4× 80 1.2× 130 2.2× 13 684
Jessica Aylward United Kingdom 8 301 1.2× 243 2.1× 44 0.4× 53 0.8× 95 1.6× 13 469
Xiao‐Fei Yang United States 12 186 0.8× 79 0.7× 54 0.5× 125 1.8× 90 1.5× 23 435
H DAVIS United States 6 266 1.1× 109 0.9× 42 0.4× 41 0.6× 27 0.5× 8 441
Rista C. Plate United States 10 189 0.8× 148 1.3× 53 0.5× 68 1.0× 116 1.9× 26 375

Countries citing papers authored by Anna Thorwart

Since Specialization
Citations

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

Fields of papers citing papers by Anna Thorwart

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anna Thorwart

This figure shows the co-authorship network connecting the top 25 collaborators of Anna Thorwart. A scholar is included among the top collaborators of Anna Thorwart 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 Anna Thorwart. Anna Thorwart 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.
Livesey, Evan J., et al.. (2021). Outcome unpredictability affects outcome-specific motivation to learn. Psychonomic Bulletin & Review. 28(5). 1648–1656. 1 indexed citations
2.
Thorwart, Anna, et al.. (2021). Time in Associative Learning: A Review on Temporal Maps. Frontiers in Human Neuroscience. 15. 617943–617943. 10 indexed citations
3.
Livesey, Evan J., et al.. (2020). Does learning history shape the associability of outcomes? Further tests of the outcome predictability effect. PLoS ONE. 15(12). e0243434–e0243434. 1 indexed citations
4.
Uengoer, Metin, et al.. (2020). Adding or removing context components equally disrupts extinction in human predictive learning. Behavioural Processes. 179. 104216–104216. 1 indexed citations
5.
Griffiths, Oren, Evan J. Livesey, & Anna Thorwart. (2019). Learned biases in the processing of outcomes: A brief review of the outcome predictability effect.. Journal of Experimental Psychology Animal Learning and Cognition. 45(1). 1–16. 3 indexed citations
6.
Livesey, Evan J., et al.. (2019). Transfer of associability and relational structure in human associative learning.. Journal of Experimental Psychology Animal Learning and Cognition. 45(2). 125–142. 7 indexed citations
7.
Livesey, Evan J., et al.. (2019). Testing the deductive inferential account of blocking in causal learning. Memory & Cognition. 47(6). 1120–1132. 3 indexed citations
8.
Griffiths, Oren & Anna Thorwart. (2017). Effects of Outcome Predictability on Human Learning. Frontiers in Psychology. 8. 511–511. 9 indexed citations
9.
Thorwart, Anna, et al.. (2017). Learned predictiveness and outcome predictability effects are not simply two sides of the same coin.. Journal of Experimental Psychology Animal Learning and Cognition. 43(4). 341–365. 8 indexed citations
10.
Bustamante, Javier, Metin Uengoer, Anna Thorwart, & Harald Lachnit. (2016). Extinction in multiple contexts: Effects on the rate of extinction and the strength of response recovery. Learning & Behavior. 44(3). 283–294. 14 indexed citations
11.
Hechler, Tanja, Dominik Endres, & Anna Thorwart. (2016). Why Harmless Sensations Might Hurt in Individuals with Chronic Pain: About Heightened Prediction and Perception of Pain in the Mind. Frontiers in Psychology. 7. 1638–1638. 55 indexed citations
12.
Thorwart, Anna & Evan J. Livesey. (2016). Three Ways That Non-associative Knowledge May Affect Associative Learning Processes. Frontiers in Psychology. 7. 2024–2024. 15 indexed citations
13.
Lachnit, Harald, et al.. (2013). Indicators of Early and Late Processing Reveal the Importance of Within-Trial-Time for Theories of Associative Learning. PLoS ONE. 8(6). e66291–e66291. 6 indexed citations
14.
Thorwart, Anna, Evan J. Livesey, & Justin A. Harris. (2012). Normalization between stimulus elements in a model of Pavlovian conditioning: Showjumping on an elemental horse. Learning & Behavior. 40(3). 334–346. 12 indexed citations
15.
Livesey, Evan J., et al.. (2011). Comparing learned predictiveness effects within and across compound discriminations.. Journal of Experimental Psychology Animal Behavior Processes. 37(4). 446–465. 17 indexed citations
16.
Thorwart, Anna, Steven Glautier, & Harald Lachnit. (2010). Convergent results in eyeblink conditioning and contingency learning in humans: Addition of a common cue does not affect feature-negative discriminations. Biological Psychology. 85(2). 207–212. 4 indexed citations
17.
Thorwart, Anna & Harald Lachnit. (2010). Generalization decrements: Further support for flexibility in stimulus processing. Learning & Behavior. 38(4). 367–373. 10 indexed citations
18.
Thorwart, Anna, Holger Schultheis, Stephan König, & Harald Lachnit. (2009). ALTSim: A MATLAB simulator for current associative learning theories. Behavior Research Methods. 41(1). 29–34. 27 indexed citations
19.
Thorwart, Anna & Harald Lachnit. (2009). Symmetrical generalization decrements: Configural stimulus processing in human contingency learning. Learning & Behavior. 37(1). 107–115. 13 indexed citations
20.
Schultheis, Holger, Anna Thorwart, & Harald Lachnit. (2008). Rapid-REM: A MATLAB simulator of the replaced-elements model. Behavior Research Methods. 40(2). 435–441. 12 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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