Maarten Van Segbroeck
- Artificial Intelligence top 5%
- Signal Processing top 2%
- Experimental and Cognitive Psychology top 10%
- Social Psychology top 10%
- Cognitive Neuroscience
- Co-authors
- Shrikanth NarayananHugo Van hammePat LevittAllison T. KnollAndreas TsiartasMatthew BlackAlexandros PotamianosRahul Gupta
- Topics
- Speech Recognition and Synthesis (24 papers)Speech and Audio Processing (21 papers)Music and Audio Processing (18 papers)
- Partner nations
- United StatesBelgiumCzechia
In The Last Decade
Maarten Van Segbroeck
32 papers receiving 599 citations
Peers
Comparison fields: 5 of 76
- Artificial Intelligence 362
- Signal Processing 298
- Experimental and Cognitive Psychology 147
- Social Psychology 128
- Cognitive Neuroscience 73
Countries citing papers authored by Maarten Van Segbroeck
This map shows the geographic impact of Maarten Van Segbroeck'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 Maarten Van Segbroeck with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maarten Van Segbroeck more than expected).
Fields of papers citing papers by Maarten Van Segbroeck
This network shows the impact of papers produced by Maarten Van Segbroeck. 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 Maarten Van Segbroeck. The network helps show where Maarten Van Segbroeck may publish in the future.
Co-authorship network of co-authors of Maarten Van Segbroeck
This figure shows the co-authorship network connecting the top 25 collaborators of Maarten Van Segbroeck. A scholar is included among the top collaborators of Maarten Van Segbroeck 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 Maarten Van Segbroeck. Maarten Van Segbroeck is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Exploring the Utilization of Synthetic Data in Unsupervised Clustering for Opioid Misuse Analysis. | 0 |
| 2 | 92 | |
| 3 | 8 | |
| 4 | 16 | |
| 5 | 35 | |
| 6 | 18 | |
| 7 | Affective Feature Design and Predicting Continuous Affective Dimensions from Music | 12 |
| 8 | 38 | |
| 9 | 39 | |
| 10 | 2 | |
| 11 | 84 | |
| 12 | 3 | |
| 13 | 18 | |
| 14 | 14 | |
| 15 | 3 | |
| 16 | 42 | |
| 17 | 13 | |
| 18 | 27 | |
| 19 | 8 | |
| 20 | 6 |
About Maarten Van Segbroeck
Maarten Van Segbroeck is a scholar working on Signal Processing, Developmental Biology and Artificial Intelligence, having authored 33 papers that have together received 651 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (24 papers), Speech and Audio Processing (21 papers) and Music and Audio Processing (18 papers). The work is most often cited by research in Signal Processing (298 citations), Developmental Biology (37 citations) and Artificial Intelligence (362 citations). Maarten Van Segbroeck has collaborated with scholars based in United States, Belgium and Czechia. Frequent co-authors include Shrikanth Narayanan, Hugo Van hamme, Pat Levitt, Allison T. Knoll, Andreas Tsiartas, Matthew Black, Alexandros Potamianos, Shrikanth Narayanan, Rahul Gupta and Samuel Thomas. Their work appears in journals such as Neuron, IEEE Transactions on Audio Speech and Language Processing and Speech Communication.
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.