David J. Schwartzman

617 total citations
21 papers, 343 citations indexed

About

David J. Schwartzman is a scholar working on Cognitive Neuroscience, Social Psychology and Experimental and Cognitive Psychology. According to data from OpenAlex, David J. Schwartzman has authored 21 papers receiving a total of 343 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cognitive Neuroscience, 5 papers in Social Psychology and 5 papers in Experimental and Cognitive Psychology. Recurrent topics in David J. Schwartzman's work include Neural dynamics and brain function (6 papers), Visual perception and processing mechanisms (6 papers) and EEG and Brain-Computer Interfaces (5 papers). David J. Schwartzman is often cited by papers focused on Neural dynamics and brain function (6 papers), Visual perception and processing mechanisms (6 papers) and EEG and Brain-Computer Interfaces (5 papers). David J. Schwartzman collaborates with scholars based in United Kingdom, Germany and Canada. David J. Schwartzman's co-authors include Anil K. Seth, Keisuke Suzuki, Daniel Bor, Warrick Roseboom, Cornelia Kranczioch, Nicolas Rothen, Daniel C. Alexander, Hui Zhang, Mara Cercignani and Adam B. Barrett and has published in prestigious journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

David J. Schwartzman

20 papers receiving 337 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David J. Schwartzman United Kingdom 10 180 67 48 45 43 21 343
Nathan A. Parks United States 16 473 2.6× 107 1.6× 77 1.6× 18 0.4× 42 1.0× 23 571
Rainer Loose Germany 9 507 2.8× 100 1.5× 29 0.6× 19 0.4× 62 1.4× 22 633
Sébastien Szaffarczyk France 15 300 1.7× 60 0.9× 35 0.7× 23 0.5× 81 1.9× 32 516
Inês Almeida Portugal 12 231 1.3× 93 1.4× 40 0.8× 25 0.6× 13 0.3× 21 408
Benoît Béranger France 8 163 0.9× 78 1.2× 49 1.0× 10 0.2× 38 0.9× 22 310
Yuxing Fang China 12 338 1.9× 51 0.8× 16 0.3× 9 0.2× 74 1.7× 16 447
Semiha Aydın Germany 8 244 1.4× 48 0.7× 18 0.4× 37 0.8× 56 1.3× 17 446
Na Chen Japan 10 42 0.2× 89 1.3× 49 1.0× 41 0.9× 10 0.2× 37 272
Karim Jerbi France 6 317 1.8× 38 0.6× 19 0.4× 16 0.4× 26 0.6× 8 396
Laura Ortiz-Terán Spain 11 266 1.5× 93 1.4× 38 0.8× 20 0.4× 52 1.2× 18 433

Countries citing papers authored by David J. Schwartzman

Since Specialization
Citations

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

Fields of papers citing papers by David J. Schwartzman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David J. Schwartzman. 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 David J. Schwartzman. The network helps show where David J. Schwartzman may publish in the future.

Co-authorship network of co-authors of David J. Schwartzman

This figure shows the co-authorship network connecting the top 25 collaborators of David J. Schwartzman. A scholar is included among the top collaborators of David J. Schwartzman 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 David J. Schwartzman. David J. Schwartzman 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.
Seth, Anil K., et al.. (2025). Stroboscopically induced visual hallucinations: historical, phenomenological, and neurobiological perspectives. Neuroscience of Consciousness. 2025(1). niaf020–niaf020.
2.
Suzuki, Keisuke, Anil K. Seth, & David J. Schwartzman. (2024). Modelling phenomenological differences in aetiologically distinct visual hallucinations using deep neural networks. Frontiers in Human Neuroscience. 17. 1159821–1159821. 9 indexed citations
3.
Schwartzman, David J., et al.. (2023). Effect of frequency and rhythmicity on flicker light-induced hallucinatory phenomena. PLoS ONE. 18(4). e0284271–e0284271. 7 indexed citations
4.
Suzuki, Keisuke, et al.. (2023). Using Extended Reality to Study the Experience of Presence. Current topics in behavioral neurosciences. 65. 255–285. 7 indexed citations
5.
Schwartzman, David J., et al.. (2021). “Becoming the Color.” Synesthetic Gesture in a Case Study of Multiple Forms of Synesthesia. SHILAP Revista de lepidopterología. 2 indexed citations
6.
7.
Schwartzman, David J., Daniel Bor, Nicolas Rothen, & Anil K. Seth. (2019). Neurophenomenology of induced and natural synaesthesia. Philosophical Transactions of the Royal Society B Biological Sciences. 374(1787). 20190030–20190030. 5 indexed citations
8.
Suzuki, Keisuke, et al.. (2019). Sensorimotor contingency modulates visual awareness of virtual 3D objects. 70–71. 1 indexed citations
9.
Gabel, Matt C., Nicholas G. Dowell, David J. Schwartzman, et al.. (2018). Neurite orientation and dispersion density imaging (NODDI) detects cortical and corticospinal tract degeneration in ALS. Journal of Neurology Neurosurgery & Psychiatry. 90(4). 404–411. 74 indexed citations
10.
Rothen, Nicolas, David J. Schwartzman, Daniel Bor, & Anil K. Seth. (2018). Coordinated neural, behavioral, and phenomenological changes in perceptual plasticity through overtraining of synesthetic associations. Neuropsychologia. 111. 151–162. 10 indexed citations
11.
Suzuki, Keisuke, Warrick Roseboom, David J. Schwartzman, & Anil K. Seth. (2018). Hallucination Machine: Simulating Altered Perceptual Phenomenology with a Deep-Dream Virtual Reality platform. 111–112. 6 indexed citations
12.
Chang, Acer Yu-Chan, David J. Schwartzman, Rufin VanRullen, Ryota Kanai, & Anil K. Seth. (2017). Visual Perceptual Echo Reflects Learning of Regularities in Rapid Luminance Sequences. Journal of Neuroscience. 37(35). 8486–8497. 6 indexed citations
13.
Suzuki, Keisuke, Warrick Roseboom, David J. Schwartzman, & Anil K. Seth. (2017). A Deep-Dream Virtual Reality Platform for Studying Altered Perceptual Phenomenology. Scientific Reports. 7(1). 15982–15982. 62 indexed citations
14.
Bor, Daniel, David J. Schwartzman, Adam B. Barrett, & Anil K. Seth. (2017). Theta-burst transcranial magnetic stimulation to the prefrontal or parietal cortex does not impair metacognitive visual awareness. PLoS ONE. 12(2). e0171793–e0171793. 31 indexed citations
15.
Chang, Acer Yu-Chan, et al.. (2016). Fractionation of parietal function in bistable perception probed with concurrent TMS-EEG. Scientific Data. 3(1). 160065–160065. 3 indexed citations
16.
17.
Schwartzman, David J., et al.. (2014). New Directions in EEG Measurement: an Investigation into the Fidelity of Electrical Potential Sensor Signals. SHILAP Revista de lepidopterología. 2 indexed citations
18.
Bor, Daniel, et al.. (2014). Adults Can Be Trained to Acquire Synesthetic Experiences. Scientific Reports. 4(1). 7089–7089. 39 indexed citations
19.
Schwartzman, David J. & Cornelia Kranczioch. (2010). In the blink of an eye: The contribution of microsaccadic activity to the induced gamma band response. International Journal of Psychophysiology. 79(1). 73–82. 20 indexed citations
20.
Schwartzman, David J., et al.. (2008). Altered early visual processing components in hallucination-prone individuals. Neuroreport. 19(9). 933–937. 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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