Tomás Maul
Impact in
- Building and Construction top 10%
- Building Energy and Comfort Optimization
- BIM and Construction Integration
-
- Remote-Sensing Image Classification
Papers in
-
- Neural Networks and Applications 5
- Anomaly Detection Techniques and Applications 3
- Co-authors
- Andrzej Bargieła (9 shared papers)Tuong Thuy Vu (6 shared papers)Hui Ling Chen (1 shared paper)Kang‐Nee Ting (1 shared paper)Chris Gibbins (1 shared paper)Gustavo Henrique Paetzold (1 shared paper)Siang Yew Chong (1 shared paper)Yuying Yan (1 shared paper)
- Journals
- Neural Processing Letters (2 papers)Automation in Construction (2 papers)Multimedia Tools and Applications (2 papers)Neural Computing and Applications (2 papers)Neurocomputing (2 papers)
- Partner nations
- MalaysiaUnited KingdomVietnam
In The Last Decade
Tomás Maul
41 papers receiving 230 citations
Peers
Comparison fields: 5 of 91
- Building and Construction 56
- Media Technology 20
- Nuclear Energy and Engineering 1
- Computer Vision and Pattern Recognition 42
- Medical Laboratory Technology 3
Countries citing papers authored by Tomás Maul
This map shows the geographic impact of Tomás Maul'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 Tomás Maul with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomás Maul more than expected).
Fields of papers citing papers by Tomás Maul
This network shows the impact of papers produced by Tomás Maul. 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 Tomás Maul. The network helps show where Tomás Maul may publish in the future.
Co-authors
The 25 scholars most cited alongside Tomás Maul, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 58 | |
| 2 | 2022 | 20 | |
| 3 | 2024 | 18 | |
| 4 | 2019 | 18 | |
| 5 | 2016 | 13 | |
| 6 | 2017 | 12 | |
| 7 | 2012 | 11 | |
| 8 | 2014 | 9 | |
| 9 | 2013 | 7 | |
| 10 | 2010 | 6 | |
| 11 | 2023 | 6 | |
| 12 | 2015 | 4 | |
| 13 | 2010 | 4 | |
| 14 | 2023 | 3 | |
| 15 | 2022 | 3 | |
| 16 | 2024 | 3 | |
| 17 | 2014 | 3 | |
| 18 | 2016 | 3 | |
| 19 | 2016 | 3 | |
| 20 | 2010 | 3 |
About Tomás Maul
Tomás Maul is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Cognitive Neuroscience and Media Technology, having authored 48 papers that have together received 241 indexed citations. Recurring topics across this work include Neural Networks and Applications (5 papers), Advanced Memory and Neural Computing (4 papers), CCD and CMOS Imaging Sensors (4 papers), Neuroscience and Neural Engineering (3 papers), BIM and Construction Integration (3 papers), Anomaly Detection Techniques and Applications (3 papers), Neural dynamics and brain function (3 papers) and Multisensory perception and integration (2 papers). The work is most often cited by research in Building and Construction (56 citations), Media Technology (20 citations), Nuclear Energy and Engineering (1 citation), Computer Vision and Pattern Recognition (42 citations) and Medical Laboratory Technology (3 citations). Tomás Maul has collaborated with scholars based in Malaysia, United Kingdom and Vietnam. Frequent co-authors include Andrzej Bargieła, Tuong Thuy Vu, Hui Ling Chen, Kang‐Nee Ting, Chris Gibbins, Gustavo Henrique Paetzold, Siang Yew Chong, Yuying Yan, Nan Gao and Amr Ahmed. Their work appears in journals such as Neural Processing Letters, Automation in Construction, Multimedia Tools and Applications, Neural Computing and Applications 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.