Justin Dauwels

10.4k total citations · 1 hit paper
267 papers, 7.0k citations indexed

About

Justin Dauwels is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Building and Construction. According to data from OpenAlex, Justin Dauwels has authored 267 papers receiving a total of 7.0k indexed citations (citations by other indexed papers that have themselves been cited), including 80 papers in Cognitive Neuroscience, 52 papers in Artificial Intelligence and 38 papers in Building and Construction. Recurrent topics in Justin Dauwels's work include EEG and Brain-Computer Interfaces (62 papers), Neural dynamics and brain function (37 papers) and Traffic Prediction and Management Techniques (31 papers). Justin Dauwels is often cited by papers focused on EEG and Brain-Computer Interfaces (62 papers), Neural dynamics and brain function (37 papers) and Traffic Prediction and Management Techniques (31 papers). Justin Dauwels collaborates with scholars based in Singapore, United States and Netherlands. Justin Dauwels's co-authors include Andrzej Cichocki, François Vialatte, Monique Maurice, Hans‐Andrea Loeliger, Muhammad Tayyab Asif, Nikola Mitrović, Patrick Jaillet, Sydney S. Cash, Toshimitsu Musha and Peter N. Taylor and has published in prestigious journals such as Science, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Justin Dauwels

252 papers receiving 6.8k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Steady-state visually evoked potentials: Focus on essential paradigms and future perspectives

2009 788 citations François Vialatte, Justin Dauwels et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Justin Dauwels Singapore	40	3.3k	934	914	894	887	267	7.0k
Bin Hu China	62	5.6k 1.7×	2.6k 2.7×	278 0.3×	2.6k 2.9×	883 1.0×	748	16.6k
Samanwoy Ghosh‐Dastidar United States	16	2.5k 0.8×	836 0.9×	581 0.6×	945 1.1×	1.0k 1.2×	20	3.8k
Abdülhamit Subaşı Saudi Arabia	51	6.0k 1.8×	2.2k 2.4×	969 1.1×	724 0.8×	2.9k 3.2×	178	10.4k
Mamun Bin Ibne Reaz Malaysia	36	1.5k 0.4×	1.7k 1.8×	605 0.7×	1.7k 1.9×	693 0.8×	355	8.2k
Mufti Mahmud United Kingdom	38	993 0.3×	1.8k 2.0×	471 0.5×	567 0.6×	343 0.4×	222	5.6k
Frank Hutter Germany	39	2.2k 0.7×	5.0k 5.4×	644 0.7×	1.0k 1.1×	803 0.9×	109	10.1k
Dezhong Yao China	48	5.6k 1.7×	528 0.6×	957 1.0×	433 0.5×	345 0.4×	404	7.8k
Robert L. Smith United States	42	1.8k 0.5×	726 0.8×	130 0.1×	177 0.2×	362 0.4×	284	6.5k
Chi‐Hua Chen Taiwan	35	1.2k 0.4×	422 0.5×	144 0.2×	294 0.3×	95 0.1×	169	4.4k

Countries citing papers authored by Justin Dauwels

Since Specialization

Citations

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

Fields of papers citing papers by Justin Dauwels

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Justin Dauwels

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Rajan, Raj Thilak, et al.. (2025). Physics-Informed Intelligent Motor Fault Detection. 1158–1162.

Bütler, R, et al.. (2024). Towards Robust Object Detection in Unseen Catheterization Laboratories. 1–6.

Grandey, Benjamin S., et al.. (2024). Fusion of Probabilistic Projections of Sea‐Level Rise. Earth s Future. 12(12).

Wijsenbeek, Marlies, et al.. (2023). Evaluation of different classification methods using electronic nose data to diagnose sarcoidosis. Journal of Breath Research. 17(4). 47104–47104. 2 indexed citations

Styles, Suzy J, Hexin Liu, Leibny Paola Garcia, et al.. (2023). Investigating model performance in language identification: beyond simple error statistics. Research Repository (Delft University of Technology). 4129–4133. 1 indexed citations

Gannot, Sharon, Zheng‐Hua Tan, Martin Haardt, et al.. (2023). Data Science Education: The Signal Processing Perspective [SP Education]. IEEE Signal Processing Magazine. 40(7). 89–93. 1 indexed citations

Thomas, John, Nishant Sinha, Rajamanickam Yuvaraj, et al.. (2022). Improving automated diagnosis of epilepsy from EEGs beyond IEDs. Journal of Neural Engineering. 19(6). 66017–66017. 14 indexed citations

Helmers, Eckard, et al.. (2022). Carbon Footprinting of Universities Worldwide Part II: First Quantification of Complete Embodied Impacts of Two Campuses in Germany and Singapore. Sustainability. 14(7). 3865–3865. 14 indexed citations

Jiang, Yu, et al.. (2022). Path-oriented synchronized transit scheduling using time-dependent data. Transportation Research Part C Emerging Technologies. 136. 103505–103505. 14 indexed citations

10.

Helmers, Eckard, et al.. (2021). Carbon footprinting of universities worldwide: Part I—objective comparison by standardized metrics. Environmental Sciences Europe. 33(1). 67 indexed citations

11.

Yu, Hang, et al.. (2020). Fast Bayesian inference of Sparse Networks with automatic sparsity determination. Journal of Machine Learning Research. 21(124). 1–54. 2 indexed citations

12.

Dauwels, Justin, et al.. (2018). Improved Tabu Search Heuristics for Static Dial-A-Ride Problem: Faster and Better Convergence.. arXiv (Cornell University). 1 indexed citations

13.

Dang, Kang, Chunluan Zhou, Zhigang Tu, et al.. (2018). Actor-Action Semantic Segmentation with Region Masks.. arXiv (Cornell University). 260. 1 indexed citations

14.

Ong, Lee‐Ling Sharon, Justin Dauwels, Marcelo H. Ang, & H. Harry Asada. (2013). A Bayesian filtering approach to incorporate 2D/3D time-lapse confocal images for tracking angiogenic sprouting cells interacting with the gel matrix. Medical Image Analysis. 18(1). 211–227. 5 indexed citations

15.

Zhao, Wei, Justin Dauwels, Jacquin C. Niles, & Jianshu Cao. (2012). Computational synchronization of microarray data with application to Plasmodium falciparum. Proteome Science. 10(S1). S10–S10. 7 indexed citations

16.

Yu, Hang, et al.. (2012). Copula Gaussian multiscale graphical models with application to geophysical modeling. DR-NTU (Nanyang Technological University). 1741–1748. 6 indexed citations

17.

Dauwels, Justin, François Vialatte, Tomasz M. Rutkowski, & Andrzej Cichocki. (2007). Measuring Neural Synchrony by Message Passing. Neural Information Processing Systems. 20. 361–368. 18 indexed citations

18.

Loeliger, Hans‐Andrea, et al.. (2007). The Factor Graph Approach to Model-Based Signal Processing Factor graphs can model complex systems and help to design effective algorithms for detection and estimation problems.. Proceedings of the IEEE. 95(6). 1295–1322. 1 indexed citations

19.

Loeliger, Hans‐Andrea, et al.. (2006). A General Computation Rule for Lossy Summaries/Messages with Examples from Equalization. 1156–1160. 20 indexed citations

20.

Dauwels, Justin. (2006). Computation of the capacity of continuous memoryless channels and the rate distortion function of memoryless continuous sources. IEICE Technical Report; IEICE Tech. Rep.. 106(59). 1–6. 1 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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