James A. Bednar

2.2k total citations
61 papers, 1.1k citations indexed

About

James A. Bednar is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Artificial Intelligence. According to data from OpenAlex, James A. Bednar has authored 61 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Cognitive Neuroscience, 10 papers in Cellular and Molecular Neuroscience and 10 papers in Artificial Intelligence. Recurrent topics in James A. Bednar's work include Visual perception and processing mechanisms (34 papers), Neural dynamics and brain function (32 papers) and Neurobiology and Insect Physiology Research (8 papers). James A. Bednar is often cited by papers focused on Visual perception and processing mechanisms (34 papers), Neural dynamics and brain function (32 papers) and Neurobiology and Insect Physiology Research (8 papers). James A. Bednar collaborates with scholars based in United Kingdom, United States and France. James A. Bednar's co-authors include Risto Miikkulainen, Risto Miikkulainen, Joseph Sirosh, Martin J. Pickering, Yoonsuck Choe, Ján Antolík, Stuart P. Wilson, Holly P. Branigan, Gaurav Malhotra and J. Martijn Jansma and has published in prestigious journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

James A. Bednar

57 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
James A. Bednar United Kingdom 21 829 206 188 157 152 61 1.1k
Gergő Orbán Hungary 13 1.3k 1.6× 249 1.2× 377 2.0× 149 0.9× 151 1.0× 33 1.6k
Pietro Berkes United States 12 1.2k 1.5× 295 1.4× 286 1.5× 52 0.3× 107 0.7× 19 1.6k
James C. R. Whittington United Kingdom 7 961 1.2× 315 1.5× 279 1.5× 112 0.7× 73 0.5× 8 1.3k
Kristofer E. Bouchard United States 17 813 1.0× 110 0.5× 331 1.8× 89 0.6× 160 1.1× 53 1.3k
Alan A. Stocker United States 20 1.6k 2.0× 124 0.6× 201 1.1× 72 0.5× 347 2.3× 60 2.0k
Michael Spratling United Kingdom 23 1.7k 2.1× 294 1.4× 311 1.7× 333 2.1× 237 1.6× 72 2.5k
An T. Vu United States 18 1.5k 1.9× 119 0.6× 97 0.5× 56 0.4× 133 0.9× 34 2.2k
Greg Detre United States 8 1.8k 2.2× 201 1.0× 130 0.7× 144 0.9× 264 1.7× 9 2.1k
Hamed Nili United Kingdom 17 1.9k 2.3× 219 1.1× 224 1.2× 173 1.1× 244 1.6× 27 2.2k
Ethan M. Meyers United States 13 1.1k 1.3× 92 0.4× 126 0.7× 49 0.3× 135 0.9× 20 1.3k

Countries citing papers authored by James A. Bednar

Since Specialization
Citations

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

Fields of papers citing papers by James A. Bednar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James A. Bednar. 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 James A. Bednar. The network helps show where James A. Bednar may publish in the future.

Co-authorship network of co-authors of James A. Bednar

This figure shows the co-authorship network connecting the top 25 collaborators of James A. Bednar. A scholar is included among the top collaborators of James A. Bednar 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 James A. Bednar. James A. Bednar 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.
Bednar, James A., et al.. (2023). The Pandata Scalable Open-Source Analysis Stack. Proceedings of the Python in Science Conferences. 85–92. 3 indexed citations
2.
Antolík, Ján, Sonja B. Hofer, James A. Bednar, & Thomas D. Mrsic‐Flogel. (2016). Model Constrained by Visual Hierarchy Improves Prediction of Neural Responses to Natural Scenes. PLoS Computational Biology. 12(6). e1004927–e1004927. 26 indexed citations
3.
Perrinet, Laurent & James A. Bednar. (2015). Edge co-occurrences can account for rapid categorization of natural versus animal images. Scientific Reports. 5(1). 11400–11400. 21 indexed citations
4.
Müller, Eilif, James A. Bednar, Markus Diesmann, et al.. (2015). Python in neuroscience. Frontiers in Neuroinformatics. 9. 11–11. 46 indexed citations
5.
Bednar, James A., et al.. (2013). An automated and reproducible workflow for running and analyzing neural simulations using Lancet and IPython Notebook. Frontiers in Neuroinformatics. 7. 44–44. 14 indexed citations
6.
Antolík, Ján, et al.. (2013). Mechanisms for Stable, Robust, and Adaptive Development of Orientation Maps in the Primary Visual Cortex. Journal of Neuroscience. 33(40). 15747–15766. 35 indexed citations
7.
Antolík, Ján, et al.. (2013). Developing orientation maps using realistic patterns of lateral connectivity. BMC Neuroscience. 14(S1). 1 indexed citations
8.
Bednar, James A.. (2012). Building a mechanistic model of the development and function of the primary visual cortex. Journal of Physiology-Paris. 106(5-6). 194–211. 29 indexed citations
9.
Bednar, James A., et al.. (2011). Edge statistics in natural images versus laboratory animal environments: Implications for understanding lateral connectivity in V1. Neuroscience. 1 indexed citations
10.
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
11.
Antolík, Ján & James A. Bednar. (2011). Development of Maps of Simple and Complex Cells in the Primary Visual Cortex. Frontiers in Computational Neuroscience. 5. 17–17. 31 indexed citations
12.
Wilson, Stuart P., et al.. (2010). Modeling the Emergence of Whisker Direction Maps in Rat Barrel Cortex. PLoS ONE. 5(1). e8778–e8778. 20 indexed citations
13.
Bednar, James A.. (2009). Modeling the Visual System. 18(2).
14.
Papoutsi, Marina, Jacco A. de Zwart, J. Martijn Jansma, et al.. (2009). From Phonemes to Articulatory Codes: An fMRI Study of the Role of Broca's Area in Speech Production. Cerebral Cortex. 19(9). 2156–2165. 128 indexed citations
15.
Bednar, James A.. (2009). Topographica: building and analyzing map-level simulations from Python, C/C++, MATLAB, NEST, or NEURON components. Frontiers in Neuroinformatics. 3. 8–8. 34 indexed citations
16.
Malhotra, Gaurav, Martin J. Pickering, Holly P. Branigan, & James A. Bednar. (2008). On the persistence of Structural priming: mechanisms of decay and Influence of word-Forms. eScholarship (California Digital Library). 30(30). 22 indexed citations
17.
Bednar, James A., et al.. (2007). Developing Complex Systems Using Evolved Pattern Generators. IEEE Transactions on Evolutionary Computation. 11(2). 181–198. 1 indexed citations
18.
Jegelka, Stefanie, James A. Bednar, & Risto Miikkulainen. (2006). Prenatal development of ocular dominance and orientation maps in a self-organizing model of V1. Neurocomputing. 69(10-12). 1291–1296. 8 indexed citations
19.
Bednar, James A., et al.. (2004). Scaling Self-Organizing Maps to Model Large Cortical Networks. Neuroinformatics. 2(3). 275–302. 17 indexed citations
20.
Bednar, James A. & Risto Miikkulainen. (2000). Self-Organization of Innate Face Preferences: Could Genetics Be Expressed through Learning?. CogPrints (University of Southampton). 117–122. 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Gergő Orbán Breakdown of academic impact, for papers by Pietro Berkes Breakdown of academic impact, for papers by James C. R. Whittington Breakdown of academic impact, for papers by Kristofer E. Bouchard Breakdown of academic impact, for papers by Alan A. Stocker Breakdown of academic impact, for papers by Michael Spratling Breakdown of academic impact, for papers by An T. Vu Breakdown of academic impact, for papers by Greg Detre Breakdown of academic impact, for papers by Hamed Nili Breakdown of academic impact, for papers by Ethan M. Meyers
Rankless by CCL
2026