Tim Mullen

4.7k total citations · 2 hit papers
39 papers, 3.0k citations indexed

About

Tim Mullen is a scholar working on Cognitive Neuroscience, Signal Processing and Cellular and Molecular Neuroscience. According to data from OpenAlex, Tim Mullen has authored 39 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Cognitive Neuroscience, 10 papers in Signal Processing and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Tim Mullen's work include EEG and Brain-Computer Interfaces (32 papers), Neural dynamics and brain function (23 papers) and Functional Brain Connectivity Studies (10 papers). Tim Mullen is often cited by papers focused on EEG and Brain-Computer Interfaces (32 papers), Neural dynamics and brain function (23 papers) and Functional Brain Connectivity Studies (10 papers). Tim Mullen collaborates with scholars based in United States, Taiwan and France. Tim Mullen's co-authors include Christian Kothe, Nima Bigdely-Shamlo, Scott Makeig, Kay A. Robbins, Tzyy‐Ping Jung, Gert Cauwenberghs, Alejandro Ojeda, Yu Mike, Zeynep Akalin Acar and Arnaud Delorme and has published in prestigious journals such as SHILAP Revista de lepidopterología, NeuroImage and Proceedings of the IEEE.

In The Last Decade

Tim Mullen

38 papers receiving 2.9k citations

Hit Papers

The PREP pipeline: standardized preprocessing for large-s... 2015 2026 2018 2022 2015 2015 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tim Mullen United States 20 2.5k 424 327 315 227 39 3.0k
Christian Kothe United States 17 3.2k 1.3× 612 1.4× 325 1.0× 410 1.3× 287 1.3× 36 3.6k
Nima Bigdely-Shamlo United States 18 2.0k 0.8× 280 0.7× 298 0.9× 247 0.8× 152 0.7× 26 2.3k
Lei Ding United States 28 2.4k 1.0× 396 0.9× 391 1.2× 199 0.6× 253 1.1× 125 3.1k
Fali Li China 31 2.6k 1.1× 450 1.1× 257 0.8× 509 1.6× 170 0.7× 151 3.2k
Jeng‐Ren Duann Taiwan 23 2.2k 0.9× 315 0.7× 296 0.9× 728 2.3× 189 0.8× 77 2.9k
Martin G. Bleichner Germany 25 2.4k 1.0× 790 1.9× 196 0.6× 310 1.0× 288 1.3× 66 2.7k
W. David Hairston United States 28 2.1k 0.8× 336 0.8× 194 0.6× 803 2.5× 348 1.5× 66 2.7k
Matthias S. Treder Germany 26 2.6k 1.0× 697 1.6× 305 0.9× 318 1.0× 120 0.5× 54 3.1k
Sven Dähne Germany 19 1.7k 0.7× 404 1.0× 226 0.7× 190 0.6× 190 0.8× 32 2.0k
Julie Onton United States 17 3.3k 1.3× 343 0.8× 602 1.8× 472 1.5× 179 0.8× 24 3.8k

Countries citing papers authored by Tim Mullen

Since Specialization
Citations

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

Fields of papers citing papers by Tim Mullen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tim Mullen

This figure shows the co-authorship network connecting the top 25 collaborators of Tim Mullen. A scholar is included among the top collaborators of Tim Mullen 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 Tim Mullen. Tim Mullen 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.
Boulay, Chadwick, et al.. (2025). The lab streaming layer for synchronized multimodal recording. Imaging Neuroscience. 3. 4 indexed citations
2.
Reggente, Nicco, Christian Kothe, Tracy Brandmeyer, et al.. (2024). Decoding Depth of Meditation: Electroencephalography Insights From Expert Vipassana Practitioners. Biological Psychiatry Global Open Science. 5(1). 100402–100402. 5 indexed citations
3.
Hanada, Grant, et al.. (2024). Decoding working-memory load during n-back task performance from high channel fNIRS data. Journal of Neural Engineering. 21(5). 56005–56005. 3 indexed citations
4.
Lomas, Derek, Suzanne Dikker, Deborah Förster, et al.. (2022). Resonance as a Design Strategy for AI and Social Robots. Frontiers in Neurorobotics. 16. 850489–850489. 14 indexed citations
5.
Leuthardt, Eric C., Daniel W. Moran, & Tim Mullen. (2021). Defining Surgical Terminology and Risk for Brain Computer Interface Technologies. Frontiers in Neuroscience. 15. 599549–599549. 32 indexed citations
6.
Bigdely-Shamlo, Nima, Jonathan Touryan, Alejandro Ojeda, et al.. (2019). Automated EEG mega-analysis I: Spectral and amplitude characteristics across studies. NeuroImage. 207. 116361–116361. 22 indexed citations
7.
Bigdely-Shamlo, Nima, Jonathan Touryan, Alejandro Ojeda, et al.. (2019). Automated EEG mega-analysis II: Cognitive aspects of event related features. NeuroImage. 207. 116054–116054. 19 indexed citations
8.
Ojeda, Alejandro, Kenneth Kreutz-Delgado, & Tim Mullen. (2018). Fast and robust Block-Sparse Bayesian learning for EEG source imaging. NeuroImage. 174. 449–462. 38 indexed citations
10.
Zao, John K., et al.. (2016). Pervasive Neuroimaging with Fog Computing and Linked Data. ANU Open Research (Australian National University). 719–722. 1 indexed citations
11.
Lin, Chin‐Teng, Chun‐Hsiang Chuang, Scott E. Kerick, et al.. (2016). Mind-Wandering Tends to Occur under Low Perceptual Demands during Driving. Scientific Reports. 6(1). 21353–21353. 45 indexed citations
12.
Bigdely-Shamlo, Nima, et al.. (2015). The PREP pipeline: standardized preprocessing for large-scale EEG analysis. Frontiers in Neuroinformatics. 9. 16–16. 782 indexed citations breakdown →
13.
Mullen, Tim, Christian Kothe, Yu Mike, et al.. (2015). Real-time neuroimaging and cognitive monitoring using wearable dry EEG. IEEE Transactions on Biomedical Engineering. 62(11). 2553–2567. 518 indexed citations breakdown →
14.
Hsu, Sheng-Hsiou, Tim Mullen, Tzyy‐Ping Jung, & Gert Cauwenberghs. (2014). Online recursive independent component analysis for real-time source separation of high-density EEG. PubMed. 2014. 3845–3848. 22 indexed citations
15.
Zao, John K., et al.. (2014). Augmented Brain Computer Interaction Based on Fog Computing and Linked Data. ANU Open Research (Australian National University). 374–377. 93 indexed citations
16.
Velu, Priya, Tim Mullen, Eunho Noh, et al.. (2014). Effect of Visual Feedback on the Occipital-Parietal-Motor Network in Parkinson’s Disease with Freezing of Gait. Frontiers in Neurology. 4. 209–209. 23 indexed citations
17.
Zao, John K., et al.. (2014). Pervasive brain monitoring and data sharing based on multi-tier distributed computing and linked data technology. Frontiers in Human Neuroscience. 8. 370–370. 42 indexed citations
18.
Mullen, Tim, Christian Kothe, Alejandro Ojeda, et al.. (2013). Modeling Source Dynamics and Connectivity Using Wearable EEG. 51. 1 indexed citations
19.
Mullen, Tim, Gregory A. Worrell, & Scott Makeig. (2012). Multivariate principal oscillation pattern analysis of ICA sources during seizure. PubMed. 2012. 2921–2924. 10 indexed citations
20.
Mullen, Tim, Zeynep Akalin Acar, Gregory A. Worrell, & Scott Makeig. (2011). Modeling cortical source dynamics and interactions during seizure. PubMed. 2011. 1411–1414. 25 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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