Peggy Seriès

3.2k total citations
61 papers, 2.0k citations indexed

About

Peggy Seriès is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Peggy Seriès has authored 61 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Cognitive Neuroscience, 14 papers in Experimental and Cognitive Psychology and 7 papers in Cellular and Molecular Neuroscience. Recurrent topics in Peggy Seriès's work include Neural dynamics and brain function (28 papers), Visual perception and processing mechanisms (24 papers) and Neural and Behavioral Psychology Studies (13 papers). Peggy Seriès is often cited by papers focused on Neural dynamics and brain function (28 papers), Visual perception and processing mechanisms (24 papers) and Neural and Behavioral Psychology Studies (13 papers). Peggy Seriès collaborates with scholars based in United Kingdom, United States and France. Peggy Seriès's co-authors include Aaron R. Seitz, Stephen M. Lawrie, J. Douglas Steele, Jean Lorenceau, Yves Frégnac, Alexandre Pouget, David Willshaw, Betty M. Tijms, Peter E. Latham and Matthew Chalk and has published in prestigious journals such as Nature Neuroscience, PLoS ONE and Trends in Cognitive Sciences.

In The Last Decade

Peggy Seriès

58 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peggy Seriès United Kingdom 25 1.6k 328 321 190 160 61 2.0k
Tom Holroyd United States 25 1.7k 1.1× 339 1.0× 289 0.9× 184 1.0× 184 1.1× 44 2.2k
Elisha P. Merriam United States 19 2.0k 1.3× 304 0.9× 173 0.5× 219 1.2× 164 1.0× 47 2.4k
Christopher K. Kovach United States 26 1.8k 1.1× 313 1.0× 256 0.8× 193 1.0× 170 1.1× 57 2.2k
Lluís Fuentemilla Spain 32 2.3k 1.5× 478 1.5× 574 1.8× 163 0.9× 186 1.2× 73 2.8k
Sirel Karakaş Türkiye 19 1.9k 1.2× 312 1.0× 371 1.2× 228 1.2× 163 1.0× 63 2.4k
Lionel Rigoux Germany 22 1.0k 0.7× 295 0.9× 134 0.4× 111 0.6× 148 0.9× 35 1.8k
Jakob Heinzle Germany 25 2.2k 1.4× 441 1.3× 265 0.8× 223 1.2× 249 1.6× 78 2.9k
Andrew A. Fingelkurts Finland 33 2.7k 1.8× 372 1.1× 239 0.7× 407 2.1× 216 1.4× 91 3.4k
Alexander A. Fingelkurts Finland 33 2.7k 1.8× 367 1.1× 243 0.8× 402 2.1× 210 1.3× 88 3.4k
Fred W. Sabb United States 16 897 0.6× 338 1.0× 127 0.4× 233 1.2× 96 0.6× 23 1.6k

Countries citing papers authored by Peggy Seriès

Since Specialization
Citations

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

Fields of papers citing papers by Peggy Seriès

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peggy Seriès

This figure shows the co-authorship network connecting the top 25 collaborators of Peggy Seriès. A scholar is included among the top collaborators of Peggy Seriès 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 Peggy Seriès. Peggy Seriès 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.
Bramley, Neil R, et al.. (2024). Designing optimal behavioral experiments using machine learning. eLife. 13. 2 indexed citations
2.
Corponi, Filippo, Marion Leboyer, Frank Bellivier, et al.. (2023). Definition of early age at onset in bipolar disorder according to distinctive neurodevelopmental pathways: insights from the FACE-BD study. Psychological Medicine. 53(14). 6724–6732. 5 indexed citations
3.
4.
Noel, Jean‐Paul, Jacob I. Feldman, Tiffany G. Woynaroski, et al.. (2021). Inflexible Updating of the Self-Other Divide During a Social Context in Autism: Psychophysical, Electrophysiological, and Neural Network Modeling Evidence. Biological Psychiatry Cognitive Neuroscience and Neuroimaging. 7(8). 756–764. 16 indexed citations
5.
Ferri, Francesca, et al.. (2021). Influence of E/I balance and pruning in peri-personal space differences in schizophrenia: A computational approach. Schizophrenia Research. 248. 368–377. 6 indexed citations
6.
Huys, Quentin J. M., et al.. (2020). Abnormal reward valuation and event-related connectivity in unmedicated major depressive disorder. Psychological Medicine. 51(5). 795–803. 17 indexed citations
7.
Seriès, Peggy. (2018). Neurons That Update Representations of the Future. Trends in Cognitive Sciences. 22(8). 671–673. 1 indexed citations
8.
Tijms, Betty M., Emma Sprooten, Dominic Job, et al.. (2015). Grey matter networks in people at increased familial risk for schizophrenia. Schizophrenia Research. 168(1-2). 1–8. 33 indexed citations
9.
Colombo, Matteo, et al.. (2014). Benefits of social vs. non-social feedback on learning and generosity. Results from the Tipping Game. Frontiers in Psychology. 5. 1154–1154. 5 indexed citations
10.
Seriès, Peggy & Aaron R. Seitz. (2013). Learning what to expect (in visual perception). Frontiers in Human Neuroscience. 7. 668–668. 126 indexed citations
11.
Tijms, Betty M., Peggy Seriès, David Willshaw, & Stephen M. Lawrie. (2011). Similarity-Based Extraction of Individual Networks from Gray Matter MRI Scans. Cerebral Cortex. 22(7). 1530–1541. 232 indexed citations
12.
Reichert, David, Peggy Seriès, & Amos Storkey. (2011). Neuronal Adaptation for Sampling-Based Probabilistic Inference in Perceptual Bistability. Neural Information Processing Systems. 24. 2357–2365. 5 indexed citations
13.
Zhao, Chen, Peggy Seriès, Peter Hancock, & James A. Bednar. (2011). Similar neural adaptation mechanisms underlying face gender and tilt aftereffects. Vision Research. 51(18). 2021–2030. 29 indexed citations
14.
Seitz, Aaron R., et al.. (2011). Perceptual learning in visual hyperacuity: A reweighting model. Vision Research. 51(6). 585–599. 27 indexed citations
15.
Seriès, Peggy, David Reichert, & Amos Storkey. (2010). Hallucinations in Charles Bonnet Syndrome Induced by Homeostasis: a Deep Boltzmann Machine Model. Neural Information Processing Systems. 23. 2020–2028. 13 indexed citations
16.
Chalk, Matthew, Aaron R. Seitz, & Peggy Seriès. (2010). Rapidly learned expectations alter perception of motion. Journal of Vision. 10(7). 237–237. 3 indexed citations
17.
Seriès, Peggy, et al.. (2002). Orientation dependent modulation of apparent speed: psychophysical evidence. Vision Research. 42(25). 2757–2772. 41 indexed citations
18.
Seriès, Peggy, et al.. (2002). Orientation dependent modulation of apparent speed: a model based on the dynamics of feed-forward and horizontal connectivity in V1 cortex. Vision Research. 42(25). 2781–2797. 46 indexed citations
19.
Seriès, Peggy, et al.. (2000). Contrast dependence of high-speed apparent motion. Perception. 29. 0–0. 2 indexed citations
20.
Jacob, Mary, T. Jacob John, Manoj Jain, et al.. (1997). A Case–Control Analysis of Risk Factors in HIV Transmission in South India. Journal of Acquired Immune Deficiency Syndromes & Human Retrovirology. 14(3). 290–293. 19 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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