Tomás Maul

461 total citations
48 papers, 241 citations indexed

About

Tomás Maul is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Tomás Maul has authored 48 papers receiving a total of 241 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 11 papers in Computer Vision and Pattern Recognition and 9 papers in Electrical and Electronic Engineering. Recurrent topics in Tomás Maul's work include Neural Networks and Applications (5 papers), Advanced Memory and Neural Computing (4 papers) and CCD and CMOS Imaging Sensors (4 papers). Tomás Maul is often cited by papers focused on Neural Networks and Applications (5 papers), Advanced Memory and Neural Computing (4 papers) and CCD and CMOS Imaging Sensors (4 papers). Tomás Maul collaborates with scholars based in Malaysia, United Kingdom and Vietnam. Tomás Maul's co-authors include Andrzej Bargieła, Tuong Thuy Vu, Chris Gibbins, Hui Ling Chen, Kang‐Nee Ting, Neil Mennie, Yuying Yan, Usman Ullah Sheikh, Amr Ahmed and Michelle T.T. Tan and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of The Electrochemical Society.

In The Last Decade

Tomás Maul

41 papers receiving 230 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tomás Maul Malaysia 8 56 42 42 35 21 48 241
Rong Hua China 9 70 1.3× 60 1.4× 17 0.4× 43 1.2× 43 2.0× 30 417
Peng Hou China 12 35 0.6× 86 2.0× 65 1.5× 68 1.9× 20 1.0× 46 479
Xiyu Zhang China 9 38 0.7× 53 1.3× 94 2.2× 50 1.4× 19 0.9× 30 386
Krishna Sivakumar United States 7 20 0.4× 37 0.9× 12 0.3× 29 0.8× 51 2.4× 11 412
Husein Perez United Kingdom 5 38 0.7× 23 0.5× 19 0.5× 28 0.8× 23 1.1× 9 268
Alfonso Gago Calderón Spain 11 33 0.6× 12 0.3× 151 3.6× 24 0.7× 13 0.6× 44 369
Lijie Zhang China 9 21 0.4× 31 0.7× 188 4.5× 60 1.7× 14 0.7× 43 347
Jane Courtney Ireland 8 19 0.3× 128 3.0× 33 0.8× 15 0.4× 8 0.4× 31 271

Countries citing papers authored by Tomás Maul

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Tomás Maul

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

All Works

20 of 20 papers shown
1.
2.
Loo, Yen Yi, et al.. (2025). Temporal patterns in Malaysian rainforest soundscapes demonstrated using acoustic indices and deep embeddings trained on time-of-day estimation. The Journal of the Acoustical Society of America. 157(1). 1–16. 1 indexed citations
3.
Ng, E. Y. K., et al.. (2025). Few-Shot Learning Based Speed Breaker Recognition using Siamese Networks. International Journal of Intelligent Transportation Systems Research. 23(2). 1218–1241.
4.
Maul, Tomás, et al.. (2024). Generative Design in the Built Environment. Automation in Construction. 166. 105638–105638. 18 indexed citations
5.
Maul, Tomás, et al.. (2024). Can lies be faked? Comparing low-stakes and high-stakes deception video datasets from a Machine Learning perspective. Expert Systems with Applications. 249. 123684–123684. 3 indexed citations
6.
Chen, Qichao, Kuan Li, Zhiyuan Chen, Tomás Maul, & Jianping Yin. (2024). Exploring feature sparsity for out-of-distribution detection. Scientific Reports. 14(1). 28444–28444. 1 indexed citations
7.
8.
Ahmed, Amr, et al.. (2024). Enhancing breast cancer histopathological image classification using attention-based high order covariance pooling. Neural Computing and Applications. 36(36). 23275–23293.
9.
Maul, Tomás, et al.. (2023). Charging water load prediction for a thermal-energy-storage air-conditioner of a commercial building with a multilayer perceptron. Journal of Building Engineering. 75. 107016–107016. 3 indexed citations
10.
Maul, Tomás, et al.. (2022). Analysis of Machine Learning Techniques for Predictive Maintenance in Cooler Condition. 21. 1–4. 3 indexed citations
11.
Ng, Kher Hui, et al.. (2022). Maker Education for Cultural Awareness With a Serious 3d Game Authoring Tool: Design Considerations. SSRN Electronic Journal. 1 indexed citations
12.
Chen, Hui Ling, et al.. (2022). U-Net skip-connection architectures for the automated counting of microplastics. Neural Computing and Applications. 34(9). 7283–7297. 20 indexed citations
13.
Maul, Tomás, et al.. (2020). A Study of Fraud Types, Challenges and Detection Approaches in Telecommunication. 4(28). 248. 1 indexed citations
14.
Maul, Tomás, et al.. (2019). DATA AUGMENTATION APPROACHES FOR SATELLITE IMAGE SUPER-RESOLUTION. SHILAP Revista de lepidopterología. IV-2/W7. 47–54. 18 indexed citations
15.
Maul, Tomás, et al.. (2017). DropCircuit : A Modular Regularizer for Parallel Circuit Networks. Neural Processing Letters. 47(3). 841–858. 2 indexed citations
16.
Maul, Tomás, et al.. (2016). An Empirical Study on Improving the Speed and Generalization of Neural Networks Using a Parallel Circuit Approach. International Journal of Parallel Programming. 45(4). 780–796. 3 indexed citations
17.
Bargieła, Andrzej, et al.. (2014). Modelling Retinal Feature Detection With Deep Belief Networks In A Simulated Environment. 364–370. 3 indexed citations
18.
Maul, Tomás, et al.. (2013). Measuring the Performance of Visual to Auditory Information Conversion. PLoS ONE. 8(5). e63042–e63042. 1 indexed citations
19.
Maul, Tomás. (2013). Early experiments with neural diversity machines. Neurocomputing. 113. 36–48. 2 indexed citations
20.
Maul, Tomás, et al.. (2012). Outer plexiform layer receptive fields as underlying factors of the Hermann grid illusion. 34–39. 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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