Ada Aka

570 total citations
11 papers, 70 citations indexed

About

Ada Aka is a scholar working on Cognitive Neuroscience, Artificial Intelligence and General Decision Sciences. According to data from OpenAlex, Ada Aka has authored 11 papers receiving a total of 70 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cognitive Neuroscience, 4 papers in Artificial Intelligence and 3 papers in General Decision Sciences. Recurrent topics in Ada Aka's work include Memory Processes and Influences (5 papers), Topic Modeling (3 papers) and Decision-Making and Behavioral Economics (3 papers). Ada Aka is often cited by papers focused on Memory Processes and Influences (5 papers), Topic Modeling (3 papers) and Decision-Making and Behavioral Economics (3 papers). Ada Aka collaborates with scholars based in United States, Australia and Germany. Ada Aka's co-authors include Sudeep Bhatia, Michael J. Kahana, J. Philip McCoy, Russell Richie, Mark K. Ho, Kylie H. Alm, Christoph T. Weidemann, Stefan Bucher, Lynn J. Lohnas and Isaac Pedisich and has published in prestigious journals such as Psychological Review, Trends in Cognitive Sciences and Cognition.

In The Last Decade

Ada Aka

11 papers receiving 69 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ada Aka United States 4 39 19 15 14 8 11 70
Hanna Hillman United States 4 63 1.6× 14 0.7× 10 0.7× 12 0.9× 4 0.5× 6 90
Laura Weidinger United Kingdom 5 36 0.9× 11 0.6× 8 0.5× 10 0.7× 6 0.8× 8 63
Courtney B. Hilton United States 6 38 1.0× 24 1.3× 18 1.2× 6 0.4× 4 0.5× 14 86
Pablo León-Villagrá United Kingdom 4 26 0.7× 6 0.3× 6 0.4× 7 0.5× 7 0.9× 10 48
Cédric Colas France 4 13 0.3× 7 0.4× 8 0.5× 27 1.9× 6 0.8× 7 53
Carmelo P. Cubillas Spain 4 52 1.3× 5 0.3× 17 1.1× 3 0.2× 10 1.3× 7 74
Peter Küng United States 5 50 1.3× 85 4.5× 5 0.3× 12 0.9× 5 0.6× 8 129
Tsvetomira Dumbalska United Kingdom 3 105 2.7× 12 0.6× 13 0.9× 36 2.6× 1 0.1× 11 143
Dorottya Fabian Australia 8 89 2.3× 11 0.6× 6 0.4× 2 0.1× 15 1.9× 19 144
Lawrence Phillips United States 6 21 0.5× 29 1.5× 39 2.6× 36 2.6× 10 1.3× 20 91

Countries citing papers authored by Ada Aka

Since Specialization
Citations

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

Fields of papers citing papers by Ada Aka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ada Aka

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

All Works

11 of 11 papers shown
1.
Aka, Ada, Daniel M. Bartels, Stefan Bucher, et al.. (2025). A timeline of cognitive costs in decision-making. Trends in Cognitive Sciences. 29(9). 827–839. 2 indexed citations
2.
Aka, Ada, et al.. (2024). Memory modeling of counterfactual generation.. Journal of Experimental Psychology Learning Memory and Cognition. 51(2). 255–284. 1 indexed citations
3.
Kahana, Michael J., Lynn J. Lohnas, M. Karl Healey, et al.. (2024). The Penn Electrophysiology of Encoding and Retrieval Study.. Journal of Experimental Psychology Learning Memory and Cognition. 50(9). 1421–1443. 2 indexed citations
4.
Aka, Ada, et al.. (2023). Semantic determinants of memorability. Cognition. 239. 105497–105497. 10 indexed citations
5.
Richie, Russell, Ada Aka, & Sudeep Bhatia. (2022). Free association in a neural network.. Psychological Review. 130(5). 1360–1382. 3 indexed citations
6.
Bhatia, Sudeep & Ada Aka. (2022). Cognitive Modeling With Representations From Large-Scale Digital Data. Current Directions in Psychological Science. 31(3). 207–214. 13 indexed citations
7.
Aka, Ada & Sudeep Bhatia. (2021). What I like is what I remember: Memory modulation and preferential choice.. Journal of Experimental Psychology General. 150(10). 2175–2184. 5 indexed citations
8.
Aka, Ada, et al.. (2021). Machine Learning Models for Predicting, Understanding, and Influencing Health Perception. Journal of the Association for Consumer Research. 7(2). 142–153. 3 indexed citations
9.
Aka, Ada & Sudeep Bhatia. (2020). What I Like Is What I Remember: Memory Modulation in Preferential Choice. ACR North American Advances. 1 indexed citations
10.
Aka, Ada, et al.. (2020). Predicting recall of words and lists.. Journal of Experimental Psychology Learning Memory and Cognition. 47(5). 765–784. 29 indexed citations
11.
Aka, Ada & Sudeep Bhatia. (2020). What I Like Is What I Remember: Memory Modulation and Preferential Choice. PsyArXiv (OSF Preprints). 1 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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