James O’Sullivan

2.3k total citations · 2 hit papers
16 papers, 1.3k citations indexed

About

James O’Sullivan is a scholar working on Cognitive Neuroscience, Signal Processing and Experimental and Cognitive Psychology. According to data from OpenAlex, James O’Sullivan has authored 16 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cognitive Neuroscience, 11 papers in Signal Processing and 2 papers in Experimental and Cognitive Psychology. Recurrent topics in James O’Sullivan's work include Blind Source Separation Techniques (10 papers), Neural dynamics and brain function (9 papers) and EEG and Brain-Computer Interfaces (8 papers). James O’Sullivan is often cited by papers focused on Blind Source Separation Techniques (10 papers), Neural dynamics and brain function (9 papers) and EEG and Brain-Computer Interfaces (8 papers). James O’Sullivan collaborates with scholars based in United States, Ireland and Switzerland. James O’Sullivan's co-authors include Edmund C. Lalor, Giovanni M. Di Liberto, Nima Mesgarani, Shihab Shamma, Alan J. Power, John J. Foxe, Siddharth Rajaram, Barbara Shinn‐Cunningham, Malcolm Slaney and Ashesh D. Mehta and has published in prestigious journals such as Neuron, Journal of Neuroscience and NeuroImage.

In The Last Decade

James O’Sullivan

15 papers receiving 1.3k citations

Hit Papers

Attentional Selection in a Cocktail Party Environment Can... 2014 2026 2018 2022 2014 2015 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
James O’Sullivan United States 9 1.2k 484 220 86 73 16 1.3k
Jens Hjortkjær Denmark 13 738 0.6× 312 0.6× 125 0.6× 56 0.7× 41 0.6× 30 850
Giovanni M. Di Liberto Ireland 20 1.9k 1.6× 446 0.9× 472 2.1× 157 1.8× 344 4.7× 41 2.2k
Daniel D.E. Wong Canada 15 873 0.7× 243 0.5× 122 0.6× 61 0.7× 101 1.4× 24 991
Jonas Vanthornhout Belgium 15 713 0.6× 240 0.5× 105 0.5× 49 0.6× 30 0.4× 35 764
Michael J. Crosse Ireland 11 1.1k 0.9× 213 0.4× 429 1.9× 63 0.7× 129 1.8× 20 1.2k
Stefan Bleeck United Kingdom 14 888 0.7× 359 0.7× 165 0.8× 29 0.3× 31 0.4× 48 993
Yoshitaka Nakajima Japan 19 840 0.7× 371 0.8× 480 2.2× 161 1.9× 21 0.3× 102 1.1k
Frédéric Berthommier France 18 412 0.3× 375 0.8× 264 1.2× 77 0.9× 38 0.5× 55 817
Siddharth Rajaram United States 3 614 0.5× 218 0.5× 133 0.6× 30 0.3× 20 0.3× 6 667
Malte Wöstmann Germany 19 1.3k 1.1× 123 0.3× 260 1.2× 16 0.2× 46 0.6× 35 1.4k

Countries citing papers authored by James O’Sullivan

Since Specialization
Citations

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

Fields of papers citing papers by James O’Sullivan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James O’Sullivan. 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 O’Sullivan. The network helps show where James O’Sullivan may publish in the future.

Co-authorship network of co-authors of James O’Sullivan

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

All Works

16 of 16 papers shown
1.
O’Sullivan, James, et al.. (2024). Improving auditory attention decoding by classifying intracranial responses to glimpsed and masked acoustic events. Imaging Neuroscience. 2. 1 indexed citations
2.
O’Sullivan, James, et al.. (2023). Distinct neural encoding of glimpsed and masked speech in multitalker situations. PLoS Biology. 21(6). e3002128–e3002128. 7 indexed citations
3.
O’Sullivan, James, Philipp Schoenenberger, Julian Tillmann, et al.. (2023). Automatic speaker diarization for natural conversation analysis in autism clinical trials. Scientific Reports. 13(1). 10270–10270.
4.
Myers, John, Elliot H. Smith, Marcin Leszczyński, et al.. (2022). The Spatial Reach of Neuronal Coherence and Spike-Field Coupling across the Human Neocortex. Journal of Neuroscience. 42(32). 6285–6294. 8 indexed citations
5.
Ceolini, Enea, Jens Hjortkjær, Daniel D.E. Wong, et al.. (2020). Brain-informed speech separation (BISS) for enhancement of target speaker in multitalker speech perception. NeuroImage. 223. 117282–117282. 51 indexed citations
6.
Han, Cong, James O’Sullivan, Yi Luo, et al.. (2019). Speaker-independent auditory attention decoding without access to clean speech sources. Science Advances. 5(5). eaav6134–eaav6134. 54 indexed citations
7.
Ciccarelli, Gregory, Michael A. Nolan, Paul Calamia, et al.. (2019). Comparison of Two-Talker Attention Decoding from EEG with Nonlinear Neural Networks and Linear Methods. Scientific Reports. 9(1). 11538–11538. 92 indexed citations
8.
O’Sullivan, James, Jose L. Herrero, Elliot H. Smith, et al.. (2019). Hierarchical Encoding of Attended Auditory Objects in Multi-talker Speech Perception. Neuron. 104(6). 1195–1209.e3. 71 indexed citations
9.
O’Sullivan, James, Zhuo Chen, Sameer A. Sheth, et al.. (2017). Neural decoding of attentional selection in multi-speaker environments without access to separated sources. PubMed. 2017. 1644–1647. 5 indexed citations
10.
O’Sullivan, James, Zhuo Chen, Jose L. Herrero, et al.. (2017). Neural decoding of attentional selection in multi-speaker environments without access to clean sources. Journal of Neural Engineering. 14(5). 56001–56001. 87 indexed citations
11.
Liberto, Giovanni M. Di, James O’Sullivan, & Edmund C. Lalor. (2015). Low-Frequency Cortical Entrainment to Speech Reflects Phoneme-Level Processing. Current Biology. 25(19). 2457–2465. 369 indexed citations breakdown →
12.
O’Sullivan, James, Shihab Shamma, & Edmund C. Lalor. (2015). Evidence for Neural Computations of Temporal Coherence in an Auditory Scene and Their Enhancement during Active Listening. Journal of Neuroscience. 35(18). 7256–7263. 49 indexed citations
13.
O’Sullivan, James, Richard B. Reilly, & Edmund C. Lalor. (2015). Improved decoding of attentional selection in a cocktail party environment with EEG via automatic selection of relevant independent components. PubMed. 2015. 5740–5743. 4 indexed citations
14.
O’Sullivan, James, Alan J. Power, Nima Mesgarani, et al.. (2014). Attentional Selection in a Cocktail Party Environment Can Be Decoded from Single-Trial EEG. Cerebral Cortex. 25(7). 1697–1706. 531 indexed citations breakdown →
15.
O’Sullivan, James, et al.. (2014). Decoding of attentional selection in a cocktail party environment from single-trial EEG is robust to task. PubMed. 19. 1318–1321. 5 indexed citations
16.
O’Sullivan, James, Michael J. Crosse, Alan J. Power, & Edmund C. Lalor. (2013). The effects of attention and visual input on the representation of natural speech in EEG. PubMed. 2013. 2800–2803. 8 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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