Guillem Collell
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Cognitive Neuroscience
- Electrical and Electronic Engineering
- Information Systems
- Co-authors
- Marie‐Francine MoensDražen PrelecKaustubh R. PatilJordi FauquetLuc Van GoolAndrew PerforsDanielle NavarroSimon De Deyne
- Topics
- Multimodal Machine Learning Applications (8 papers)Speech and dialogue systems (4 papers)Natural Language Processing Techniques (4 papers)
- Partner nations
- BelgiumUnited StatesSpain
In The Last Decade
Guillem Collell
13 papers receiving 291 citations
Peers
Comparison fields: 5 of 89
- Artificial Intelligence 187
- Computer Vision and Pattern Recognition 78
- Cognitive Neuroscience 48
- Electrical and Electronic Engineering 25
- Information Systems 19
Countries citing papers authored by Guillem Collell
This map shows the geographic impact of Guillem Collell'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 Guillem Collell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guillem Collell more than expected).
Fields of papers citing papers by Guillem Collell
This network shows the impact of papers produced by Guillem Collell. 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 Guillem Collell. The network helps show where Guillem Collell may publish in the future.
Co-authorship network of co-authors of Guillem Collell
This figure shows the co-authorship network connecting the top 25 collaborators of Guillem Collell. A scholar is included among the top collaborators of Guillem Collell 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 Guillem Collell. Guillem Collell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 2 | |
| 3 | 3 | |
| 4 | 27 | |
| 5 | 3 | |
| 6 | 4 | |
| 7 | Acquiring common sense spatial knowledge through implicit spatial templates | 23 |
| 8 | 6 | |
| 9 | 112 | |
| 10 | 41 | |
| 11 | Is an image worth more than a thousand words? On the fine-grain semantic differences between visual and linguistic representations | 21 |
| 12 | 65 | |
| 13 | Build a footbridge and get over its design | 0 |
| 14 | How the Relationship Between Information Theory and Thermodynamics Can Contribute to Explaining Brain and Cognitive Activity: An Integrative Approach | 3 |
About Guillem Collell
Guillem Collell is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Geography, Planning and Development, having authored 14 papers that have together received 317 indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (8 papers), Speech and dialogue systems (4 papers) and Natural Language Processing Techniques (4 papers). The work is most often cited by research in Artificial Intelligence (187 citations), Computer Vision and Pattern Recognition (78 citations) and Cognitive Neuroscience (48 citations). Guillem Collell has collaborated with scholars based in Belgium, United States and Spain. Frequent co-authors include Marie‐Francine Moens, Dražen Prelec, Kaustubh R. Patil, Jordi Fauquet, Luc Van Gool, Andrew Perfors, Danielle Navarro, Simon De Deyne, Alberto Blanco-Justicia and Josep Domingo‐Ferrer. Their work appears in journals such as IEEE Access, Frontiers in Psychology and Neurocomputing.
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.