Justin Dauwels
- Cognitive Neuroscience top 0.5%
- Artificial Intelligence top 1%
- Cellular and Molecular Neuroscience top 2%
- Electrical and Electronic Engineering top 5%
- Signal Processing top 0.5%
- Co-authors
- Andrzej CichockiFrançois VialatteMonique MauriceHans‐Andrea LoeligerMuhammad Tayyab AsifNikola MitrovićPatrick JailletSydney S. Cash
- Topics
- EEG and Brain-Computer Interfaces (62 papers)Neural dynamics and brain function (37 papers)Traffic Prediction and Management Techniques (31 papers)
- Partner nations
- SingaporeUnited StatesNetherlands
In The Last Decade
Justin Dauwels
252 papers receiving 6.8k citations
Hit Papers
Peers
Comparison fields: 5 of 181
- Cognitive Neuroscience 3.3k
- Artificial Intelligence 934
- Cellular and Molecular Neuroscience 914
- Electrical and Electronic Engineering 894
- Signal Processing 887
Countries citing papers authored by Justin Dauwels
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 14 | |
| 5 | 14 | |
| 6 | 30 | |
| 7 | 14 | |
| 8 | 67 | |
| 9 | Fast Bayesian inference of Sparse Networks with automatic sparsity determination | 2 |
| 10 | Five-institution study of automated classification of pathological slowing from adult scalp electroencephalograms | 1 |
| 11 | 135 | |
| 12 | Improved Tabu Search Heuristics for Static Dial-A-Ride Problem: Faster and Better Convergence. | 1 |
| 13 | 2 | |
| 14 | 7 | |
| 15 | Bump time-frequency toolbox: a toolbox for time-frequency oscillatory bursts extraction in electrophysiological signals | 1 |
| 16 | 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. | 1 |
| 17 | ON THE CONVERGENCE OF ITERATIVE ESTIMATION ALGORITHMS OPERATING ON GRAPHICAL MODELS | 2 |
| 18 | A General Computation Rule for Lossy Summaries/Messages with Examples from Equalization | 20 |
| 19 | Computation of the capacity of continuous memoryless channels and the rate distortion function of memoryless continuous sources | 1 |
| 20 | 19 |
About Justin Dauwels
Justin Dauwels is a scholar working on Computational Mathematics, Transportation and Cognitive Neuroscience, having authored 267 papers that have together received 7.0k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (62 papers), Neural dynamics and brain function (37 papers) and Traffic Prediction and Management Techniques (31 papers). The work is most often cited by research in Computational Mathematics (102 citations), Cognitive Neuroscience (3.3k citations) and Signal Processing (887 citations). Justin Dauwels has collaborated with scholars based in Singapore, United States and Netherlands. Frequent 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. Their work appears in journals such as Science, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.
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.