George H. Denfield

2.9k total citations · 2 hit papers
17 papers, 1.5k citations indexed

About

George H. Denfield is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Philosophy. According to data from OpenAlex, George H. Denfield has authored 17 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cognitive Neuroscience, 3 papers in Experimental and Cognitive Psychology and 3 papers in Philosophy. Recurrent topics in George H. Denfield's work include Neural dynamics and brain function (10 papers), Visual perception and processing mechanisms (8 papers) and Face Recognition and Perception (3 papers). George H. Denfield is often cited by papers focused on Neural dynamics and brain function (10 papers), Visual perception and processing mechanisms (8 papers) and Face Recognition and Perception (3 papers). George H. Denfield collaborates with scholars based in United States, Germany and Australia. George H. Denfield's co-authors include Andreas S. Tolias, Alexander S. Ecker, Cathryn R. Cadwell, Jacob Reimer, Emmanouil Froudarakis, Dimitri Yatsenko, Matthias Bethge, Kenneth D. Harris, Andres Grosmark and György Buzsáki and has published in prestigious journals such as Nature Communications, Neuron and Journal of Neuroscience.

In The Last Decade

George H. Denfield

15 papers receiving 1.5k citations

Hit Papers

Spike sorting for large, ... 2014 2026 2018 2022 2016 2014 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
George H. Denfield United States 9 1.4k 753 127 123 116 17 1.5k
Jasper Poort United Kingdom 14 1.6k 1.2× 740 1.0× 126 1.0× 165 1.3× 70 0.6× 18 1.7k
Valentin Dragoi United States 22 2.0k 1.5× 956 1.3× 79 0.6× 125 1.0× 138 1.2× 61 2.2k
Julien Vezoli France 14 2.5k 1.8× 711 0.9× 110 0.9× 120 1.0× 103 0.9× 22 2.7k
Vladimir Itskov United States 13 1.4k 1.0× 970 1.3× 65 0.5× 121 1.0× 122 1.1× 21 1.8k
Chun-I Yeh United States 17 1.4k 1.0× 799 1.1× 63 0.5× 206 1.7× 180 1.6× 24 1.5k
Ning-long Xu China 14 1.1k 0.8× 986 1.3× 113 0.9× 180 1.5× 119 1.0× 22 1.4k
Geoffrey M. Ghose United States 20 1.8k 1.3× 559 0.7× 87 0.7× 143 1.2× 60 0.5× 37 1.9k
Frédéric Chavane France 20 1.9k 1.4× 1.0k 1.4× 53 0.4× 170 1.4× 178 1.5× 59 2.2k
Sergio Neuenschwander Germany 24 2.2k 1.7× 1.2k 1.6× 114 0.9× 184 1.5× 114 1.0× 37 2.4k
Steffen Katzner Germany 14 1.3k 1.0× 694 0.9× 133 1.0× 133 1.1× 59 0.5× 20 1.4k

Countries citing papers authored by George H. Denfield

Since Specialization
Citations

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

Fields of papers citing papers by George H. Denfield

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by George H. Denfield. 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 George H. Denfield. The network helps show where George H. Denfield may publish in the future.

Co-authorship network of co-authors of George H. Denfield

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

All Works

17 of 17 papers shown
1.
Kim, Carla Y., et al.. (2025). Developing a Clinical Workflow for Early Recognition and Diagnosis of Autoimmune Encephalitis in Patients Presenting With Atypical Psychosis. Journal of the Academy of Consultation-Liaison Psychiatry. 66(3). 251–260.
2.
Kyzar, Evan J., George H. Denfield, Jasper Feyaerts, Louis A. Sass, & Barnaby Nelson. (2025). A Phenomenological Reappraisal of Dynamical Systems in Psychopathology. Psychopathology. 1–15.
3.
Willeke, Konstantin F., Taliah Muhammad, Maria Diamantaki, et al.. (2024). Heterogeneous orientation tuning in the primary visual cortex of mice diverges from Gabor-like receptive fields in primates. Cell Reports. 43(8). 114639–114639. 1 indexed citations
4.
Denfield, George H. & Evan J. Kyzar. (2024). The Nested States Model: A Phenomenologically-Grounded Model of the Mind. Psychopathology. 57(6). 1–15. 1 indexed citations
5.
Cadena, Santiago A., Konstantin F. Willeke, George H. Denfield, et al.. (2024). Diverse task-driven modeling of macaque V4 reveals functional specialization towards semantic tasks. PLoS Computational Biology. 20(5). e1012056–e1012056. 4 indexed citations
6.
Denfield, George H. & Evan J. Kyzar. (2024). The Nested States Model: An Empirical Framework for Integrating Brain and Mind. Journal of Consciousness Studies. 31(3). 28–55. 2 indexed citations
7.
Kyzar, Evan J. & George H. Denfield. (2022). Taking subjectivity seriously: towards a unification of phenomenology, psychiatry, and neuroscience. Molecular Psychiatry. 28(1). 10–16. 28 indexed citations
8.
Cadena, Santiago A., George H. Denfield, Edgar Y. Walker, et al.. (2021). Learning divisive normalization in primary visual cortex. PLoS Computational Biology. 17(6). e1009028–e1009028. 19 indexed citations
9.
Cadena, Santiago A., George H. Denfield, Edgar Y. Walker, et al.. (2019). Deep convolutional models improve predictions of macaque V1 responses to natural images. PLoS Computational Biology. 15(4). e1006897–e1006897. 154 indexed citations
10.
Cadena, Santiago A., George H. Denfield, Edgar Y. Walker, et al.. (2019). Learning Divisive Normalization in Primary Visual Cortex. GoeScholar The Publication Server of the Georg-August-Universität Göttingen (Georg-August-Universität Göttingen). 2 indexed citations
11.
Denfield, George H., et al.. (2018). Attentional fluctuations induce shared variability in macaque primary visual cortex. Nature Communications. 9(1). 2654–2654. 45 indexed citations
12.
Denfield, George H., Paul G. Fahey, Jacob Reimer, & Andreas S. Tolias. (2016). Investigating the Limits of Neurovascular Coupling. Neuron. 91(5). 954–956. 3 indexed citations
13.
Ecker, Alexander S., George H. Denfield, Matthias Bethge, & Andreas S. Tolias. (2016). On the Structure of Neuronal Population Activity under Fluctuations in Attentional State. Journal of Neuroscience. 36(5). 1775–1789. 57 indexed citations
14.
Rossant, Cyrille, Shabnam Kadir, Dan F. M. Goodman, et al.. (2016). Spike sorting for large, dense electrode arrays. Nature Neuroscience. 19(4). 634–641. 510 indexed citations breakdown →
15.
Reimer, Jacob, Emmanouil Froudarakis, Cathryn R. Cadwell, et al.. (2014). Pupil Fluctuations Track Fast Switching of Cortical States during Quiet Wakefulness. Neuron. 84(2). 355–362. 445 indexed citations breakdown →
16.
Ecker, Alexander S., Philipp Berens, R. Cotton, et al.. (2014). State Dependence of Noise Correlations in Macaque Primary Visual Cortex. Neuron. 82(1). 235–248. 220 indexed citations
17.
Harvey, Ann H., Ulrich Kirk, George H. Denfield, & P. Read Montague. (2010). Monetary Favors and Their Influence on Neural Responses and Revealed Preference. Journal of Neuroscience. 30(28). 9597–9602. 50 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

Rankless by CCL
2026