Reka Daniel

1.2k total citations
9 papers, 757 citations indexed

About

Reka Daniel is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Reka Daniel has authored 9 papers receiving a total of 757 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cognitive Neuroscience, 1 paper in Cellular and Molecular Neuroscience and 1 paper in Public Health, Environmental and Occupational Health. Recurrent topics in Reka Daniel's work include Neural dynamics and brain function (7 papers), Neural and Behavioral Psychology Studies (7 papers) and Functional Brain Connectivity Studies (6 papers). Reka Daniel is often cited by papers focused on Neural dynamics and brain function (7 papers), Neural and Behavioral Psychology Studies (7 papers) and Functional Brain Connectivity Studies (6 papers). Reka Daniel collaborates with scholars based in United States, Germany and Italy. Reka Daniel's co-authors include Stefan Pollmann, Angela Radulescu, Yael Niv, Yuan Chang Leong, Andra Geana, Samuel J. Gershman, Robert C. Wilson, Heinrich Sauer, Kathrin Koch and Ralf G.M. Schlösser and has published in prestigious journals such as Neuron, Journal of Neuroscience and NeuroImage.

In The Last Decade

Reka Daniel

9 papers receiving 743 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Reka Daniel United States	8	582	142	80	73	66	9	757
Michael J. Frank United States	4	513 0.9×	184 1.3×	59 0.7×	63 0.9×	88 1.3×	5	761
Aaron M. Bornstein United States	14	661 1.1×	131 0.9×	94 1.2×	154 2.1×	62 0.9×	32	842
Jacqueline Scholl United Kingdom	13	599 1.0×	138 1.0×	37 0.5×	83 1.1×	82 1.2×	25	759
Payam Piray United States	13	508 0.9×	186 1.3×	74 0.9×	157 2.2×	55 0.8×	20	767
Mehdi Keramati United Kingdom	12	598 1.0×	189 1.3×	78 1.0×	162 2.2×	76 1.2×	19	874
Archy O. de Berker United Kingdom	13	746 1.3×	148 1.0×	42 0.5×	93 1.3×	95 1.4×	15	1.0k
David Luque Spain	15	557 1.0×	160 1.1×	128 1.6×	44 0.6×	87 1.3×	59	714
David L. Barack United States	11	605 1.0×	158 1.1×	44 0.6×	80 1.1×	85 1.3×	21	785
Wolfgang M. Pauli United States	12	555 1.0×	154 1.1×	49 0.6×	144 2.0×	76 1.2×	17	817
Yuan Chang Leong United States	10	915 1.6×	214 1.5×	122 1.5×	66 0.9×	161 2.4×	21	1.2k

Countries citing papers authored by Reka Daniel

Since Specialization

Citations

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

Fields of papers citing papers by Reka Daniel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Reka Daniel

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

All Works

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9 of 9 papers shown

Daniel, Reka, et al.. (2023). Enabling Informed Decision Making in the Absence of Detailed Nutrition Labels: A Model to Estimate the Added Sugar Content of Foods. Nutrients. 15(4). 803–803. 1 indexed citations

Daniel, Reka, Angela Radulescu, & Yael Niv. (2019). Intact Reinforcement Learning But Impaired Attentional Control During Multidimensional Probabilistic Learning in Older Adults. Journal of Neuroscience. 40(5). 1084–1096. 13 indexed citations

Leong, Yuan Chang, et al.. (2017). Dynamic Interaction between Reinforcement Learning and Attention in Multidimensional Environments. Neuron. 93(2). 451–463. 192 indexed citations

Radulescu, Angela, Reka Daniel, & Yael Niv. (2016). The effects of aging on the interaction between reinforcement learning and attention.. Psychology and Aging. 31(7). 747–757. 20 indexed citations

Niv, Yael, Reka Daniel, Andra Geana, et al.. (2015). Reinforcement Learning in Multidimensional Environments Relies on Attention Mechanisms. Journal of Neuroscience. 35(21). 8145–8157. 241 indexed citations

Daniel, Reka & Stefan Pollmann. (2014). A universal role of the ventral striatum in reward-based learning: Evidence from human studies. Neurobiology of Learning and Memory. 114. 90–100. 134 indexed citations

Daniel, Reka & Stefan Pollmann. (2011). Striatal activations signal prediction errors on confidence in the absence of external feedback. NeuroImage. 59(4). 3457–3467. 60 indexed citations

Daniel, Reka & Stefan Pollmann. (2010). Comparing the Neural Basis of Monetary Reward and Cognitive Feedback during Information-Integration Category Learning. Journal of Neuroscience. 30(1). 47–55. 69 indexed citations

Daniel, Reka, Gerd Wagner, Kathrin Koch, et al.. (2010). Assessing the Neural Basis of Uncertainty in Perceptual Category Learning through Varying Levels of Distortion. Journal of Cognitive Neuroscience. 23(7). 1781–1793. 27 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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