Annette Kinder

859 total citations
29 papers, 596 citations indexed

About

Annette Kinder is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Social Psychology. According to data from OpenAlex, Annette Kinder has authored 29 papers receiving a total of 596 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Cognitive Neuroscience, 12 papers in Artificial Intelligence and 7 papers in Social Psychology. Recurrent topics in Annette Kinder's work include Speech and dialogue systems (9 papers), Natural Language Processing Techniques (7 papers) and Neural dynamics and brain function (5 papers). Annette Kinder is often cited by papers focused on Speech and dialogue systems (9 papers), Natural Language Processing Techniques (7 papers) and Neural dynamics and brain function (5 papers). Annette Kinder collaborates with scholars based in Germany, United Kingdom and Hungary. Annette Kinder's co-authors include David R. Shanks, Arthur M. Jacobs, Harald Lachnit, Josephine Cock, Richard J. Tunney, Markus Hofmann, Reinhold Kliegl, Martin Rolfs, Jochen Laubrock and Sascha Tamm and has published in prestigious journals such as Psychological Review, Journal of Cognitive Neuroscience and Journal of Experimental Psychology Human Perception & Performance.

In The Last Decade

Annette Kinder

26 papers receiving 582 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Annette Kinder Germany 14 390 260 133 132 130 29 596
Alastair Goode United Kingdom 6 318 0.8× 273 1.1× 104 0.8× 92 0.7× 80 0.6× 7 503
Wayne S. Murray United Kingdom 15 556 1.4× 411 1.6× 135 1.0× 195 1.5× 57 0.4× 21 789
Joshua S. Redford United States 15 348 0.9× 572 2.2× 100 0.8× 230 1.7× 135 1.0× 22 837
Maud Boyer France 4 480 1.2× 321 1.2× 76 0.6× 135 1.0× 135 1.0× 4 685
Jean‐Rémy Hochmann France 15 286 0.7× 474 1.8× 46 0.3× 199 1.5× 107 0.8× 33 696
Markus Werning Germany 13 429 1.1× 177 0.7× 142 1.1× 204 1.5× 171 1.3× 48 726
J. A. Junge United States 9 607 1.6× 326 1.3× 75 0.6× 197 1.5× 81 0.6× 13 901
Roman Feiman United States 10 281 0.7× 135 0.5× 28 0.2× 196 1.5× 162 1.2× 20 520
Arnaud Destrebecqz Belgium 4 345 0.9× 240 0.9× 81 0.6× 87 0.7× 97 0.7× 7 505
Rasha Abdel Rahman Germany 12 441 1.1× 162 0.6× 38 0.3× 235 1.8× 98 0.8× 32 638

Countries citing papers authored by Annette Kinder

Since Specialization
Citations

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

Fields of papers citing papers by Annette Kinder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Annette Kinder

This figure shows the co-authorship network connecting the top 25 collaborators of Annette Kinder. A scholar is included among the top collaborators of Annette Kinder 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 Annette Kinder. Annette Kinder 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.
Kinder, Annette, et al.. (2024). Effects of adaptive feedback generated by a large language model: A case study in teacher education. Computers and Education Artificial Intelligence. 8. 100349–100349. 9 indexed citations
2.
Kinder, Annette, et al.. (2024). How learning influences non-symbolic numerical processing: effects of feedback in the dot comparison task. Frontiers in Psychology. 14. 1287429–1287429.
3.
4.
Jacobs, Arthur M., Markus Hofmann, & Annette Kinder. (2016). On Elementary Affective Decisions: To Like Or Not to Like, That Is the Question. Frontiers in Psychology. 7. 1836–1836. 30 indexed citations
5.
Laubrock, Jochen & Annette Kinder. (2014). Incidental sequence learning in a motion coherence discrimination task: How response learning affects perception.. Journal of Experimental Psychology Human Perception & Performance. 40(5). 1963–1977. 2 indexed citations
6.
Kinder, Annette. (2010). Is grammaticality inferred from global similarity? Comment on Jamieson and Mewhort (2009). Quarterly Journal of Experimental Psychology. 63(6). 1049–1056. 6 indexed citations
7.
Kinder, Annette, et al.. (2008). Connectionist models of artificial grammar learning: what type of knowledge is acquired?. Psychological Research. 73(5). 659–673. 13 indexed citations
8.
Kinder, Annette, et al.. (2008). Multiple Regression Analyses in Artificial-Grammar Learning: The Importance of Control Groups. Quarterly Journal of Experimental Psychology. 62(3). 576–584. 5 indexed citations
9.
Kinder, Annette, Martin Rolfs, & Reinhold Kliegl. (2008). Short Article: Sequence Learning at Optimal Stimulus–Response Mapping: Evidence from a Serial Reaction Time Task. Quarterly Journal of Experimental Psychology. 61(2). 203–209. 19 indexed citations
10.
Kinder, Annette, et al.. (2006). Transfer in artificial grammar learning: The role of repetition information.. Journal of Experimental Psychology Learning Memory and Cognition. 32(4). 707–715. 29 indexed citations
11.
Kinder, Annette, David R. Shanks, Josephine Cock, & Richard J. Tunney. (2003). Recollection, Fluency, and the Explicit/Implicit Distinction in Artificial Grammar Learning.. Journal of Experimental Psychology General. 132(4). 551–565. 56 indexed citations
12.
Kinder, Annette & David R. Shanks. (2003). Neuropsychological dissociations between priming and recognition: A single-system connectionist account.. Psychological Review. 110(4). 728–744. 68 indexed citations
13.
Kinder, Annette & Harald Lachnit. (2003). Similarity and discrimination in human Pavlovian conditioning. Psychophysiology. 40(2). 226–234. 43 indexed citations
14.
Jacobs, Arthur M., et al.. (2003). Receiver operating characteristics in the lexical decision task: Evidence for a simple signal-detection process simulated by the multiple read-out model.. Journal of Experimental Psychology Learning Memory and Cognition. 29(3). 481–488. 36 indexed citations
15.
Lachnit, Harald, et al.. (2002). Are rules applied in Pavlovian electrodermal conditioning with humans general or outcome specific?. Psychophysiology. 39(3). 380–387. 11 indexed citations
16.
Lachnit, Harald, et al.. (2001). Evidence for the application of rules in Pavlovian electrodermal conditioning with humans. Biological Psychology. 56(2). 151–166. 17 indexed citations
17.
Kinder, Annette & David R. Shanks. (2001). Amnesia and the Declarative/Nondeclarative Distinction: A Recurrent Network Model of Classification, Recognition, and Repetition Priming. Journal of Cognitive Neuroscience. 13(5). 648–669. 80 indexed citations
18.
Lachnit, Harald & Annette Kinder. (2000). Stimulus representations in human Pavlovian conditioning: Implications of missing negative transfer across response systems. The Quarterly Journal of Experimental Psychology Section B. 53(3). 209–224. 13 indexed citations
19.
Kinder, Annette. (2000). The knowledge acquired during artificial grammar learning: Testing the predictions of two connectionist models. Psychological Research. 63(2). 95–105. 17 indexed citations
20.
Kinder, Annette, et al.. (2000). Learning artificial grammars: No evidence for the acquisition of rules. Memory & Cognition. 28(8). 1321–1332. 44 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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