Pedro Martins

1.1k total citations
80 papers, 601 citations indexed

About

Pedro Martins is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Experimental and Cognitive Psychology. According to data from OpenAlex, Pedro Martins has authored 80 papers receiving a total of 601 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computer Vision and Pattern Recognition, 18 papers in Artificial Intelligence and 17 papers in Experimental and Cognitive Psychology. Recurrent topics in Pedro Martins's work include Advanced Image and Video Retrieval Techniques (7 papers), Music Technology and Sound Studies (6 papers) and Video Analysis and Summarization (6 papers). Pedro Martins is often cited by papers focused on Advanced Image and Video Retrieval Techniques (7 papers), Music Technology and Sound Studies (6 papers) and Video Analysis and Summarization (6 papers). Pedro Martins collaborates with scholars based in Portugal, Spain and United Kingdom. Pedro Martins's co-authors include Pedro Henriques Abreu, João Santos, Hugo Duarte, César Teixeira, Mauro F. Pinto, Inês Domingues, Gisèle Pereira, Penousal Machado, Teresa Chambel and Fábio Lopes and has published in prestigious journals such as Scientific Reports, Journal of Computational Physics and The Journal of the Acoustical Society of America.

In The Last Decade

Pedro Martins

74 papers receiving 565 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pedro Martins Portugal 11 165 139 129 114 71 80 601
Jingxin Liu China 18 233 1.4× 183 1.3× 198 1.5× 107 0.9× 93 1.3× 71 906
Kyung-Ah Sohn South Korea 20 244 1.5× 314 2.3× 52 0.4× 82 0.7× 82 1.2× 95 1.3k
Jun‐Young Chung South Korea 11 157 1.0× 97 0.7× 217 1.7× 184 1.6× 23 0.3× 33 683
Peter Drotár Slovakia 18 391 2.4× 260 1.9× 62 0.5× 131 1.1× 32 0.5× 60 1.4k
Pantelis A. Asvestas Greece 17 143 0.9× 268 1.9× 205 1.6× 169 1.5× 26 0.4× 82 844
Anthony J. Sherbondy United States 15 142 0.9× 197 1.4× 744 5.8× 378 3.3× 43 0.6× 21 1.4k
Bingtao Zhang China 11 175 1.1× 221 1.6× 166 1.3× 164 1.4× 63 0.9× 27 832
Jingcong Li China 14 109 0.7× 127 0.9× 37 0.3× 310 2.7× 187 2.6× 30 612
Delaram Sadeghi Australia 9 173 1.0× 72 0.5× 196 1.5× 352 3.1× 23 0.3× 11 710
Austin J. Brockmeier United States 12 291 1.8× 170 1.2× 81 0.6× 273 2.4× 23 0.3× 44 1.1k

Countries citing papers authored by Pedro Martins

Since Specialization
Citations

This map shows the geographic impact of Pedro Martins'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 Pedro Martins with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pedro Martins more than expected).

Fields of papers citing papers by Pedro Martins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pedro Martins. 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 Pedro Martins. The network helps show where Pedro Martins may publish in the future.

Co-authorship network of co-authors of Pedro Martins

This figure shows the co-authorship network connecting the top 25 collaborators of Pedro Martins. A scholar is included among the top collaborators of Pedro Martins 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 Pedro Martins. Pedro Martins 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.
Fidas, Christos, Marios Belk, David Portugal, et al.. (2023). Ensuring Academic Integrity and Trust in Online Learning Environments: A Longitudinal Study of an AI-Centered Proctoring System in Tertiary Educational Institutions. Education Sciences. 13(6). 566–566. 5 indexed citations
2.
Roque, Licínio, et al.. (2023). An interdisciplinary journey towards an aesthetics of sonification experience. Journal on Multimodal User Interfaces. 17(4). 263–284. 2 indexed citations
3.
Pinto, Mauro F., Fábio Lopes, António Dourado, et al.. (2023). The goal of explaining black boxes in EEG seizure prediction is not to explain models' decisions. Epilepsia Open. 8(2). 285–297. 13 indexed citations
4.
Alves, Ana Catarina, Joana Rita Chora, Hernán A. González Rojas, et al.. (2023). Sitosterolemia in Iberoamerican countries: New cases and phenotype genotype analysis. Atherosclerosis. 379. S26–S27. 1 indexed citations
5.
Pinto, Mauro F., Tiago Coelho, Fábio Lopes, et al.. (2022). Interpretable EEG seizure prediction using a multiobjective evolutionary algorithm. Scientific Reports. 12(1). 4420–4420. 23 indexed citations
6.
Pinto, Mauro F., et al.. (2021). A personalized and evolutionary algorithm for interpretable EEG epilepsy seizure prediction. Scientific Reports. 11(1). 3415–3415. 43 indexed citations
7.
Martins, Pedro, et al.. (2020). Emojinating Co-Creativity: Integrating Self-Evaluation and Context-Adaptation.. ICCC. 85–88. 2 indexed citations
8.
Martins, Pedro, et al.. (2020). Ever-changing Flags: Impact and Ethics of Modifying National Symbols.. ICCC. 410–413. 2 indexed citations
9.
Martins, Pedro, et al.. (2019). Assessing Usefulness of a Visual Blending System: "Pictionary Has Used Image-making New Meaning Logic for Decades. We Don't Need a Computational Platform to Explore the Blending Phenomena", Do We?. ICCC. 296–300. 2 indexed citations
10.
Martins, Pedro, et al.. (2018). How Shell and Horn make a Unicorn: Experimenting with Visual Blending in Emoji.. ICCC. 145–152. 8 indexed citations
11.
Gonçalves, João Carlos, et al.. (2017). A Pig, an Angel and a Cactus Walk Into a Blender: A Descriptive Approach to Visual Blending.. ICCC. 80–87. 2 indexed citations
12.
Gonçalves, João Carlos, Pedro Martins, & Amílcar Cardoso. (2017). Blend City, BlendVille.. ICCC. 112–119. 1 indexed citations
13.
Abreu, Pedro Henriques, et al.. (2017). An artificial neural networks approach for assessment treatment response in oncological patients using PET/CT images. BMC Medical Imaging. 17(1). 13–13. 15 indexed citations
14.
Martins, Pedro, Senja Pollak, Tanja Urbančič, & Amílcar Cardoso. (2016). Optimality Principles in Computational Approaches to Conceptual Blending: Do We Need Them (at) All?. ICCC. 346–353. 4 indexed citations
15.
Correia, João, Tiago Martins, Pedro Martins, & Penousal Machado. (2016). X-Faces: The eXploit Is Out There.. ICCC. 164–171. 6 indexed citations
16.
Verhoeven, Ben, et al.. (2015). TheRiddlerBot: A next step on the ladder towards creative Twitter bots.. ICCC. 315–322. 5 indexed citations
17.
Martins, Pedro, Tanja Urbančič, Senja Pollak, Nada Lavrač, & Amílcar Cardoso. (2015). The Good, the Bad, and the AHA! Blends.. ICCC. 166–173. 5 indexed citations
18.
Martins, Pedro, et al.. (2015). Swarm systems in the visualization of consumption patterns. International Conference on Artificial Intelligence. 2466–2472. 3 indexed citations
19.
Branco, António, et al.. (2008). LX-Service: Web Services of Language Technology for Portuguese.. Language Resources and Evaluation. 2 indexed citations
20.
Winters, L. Alan & Pedro Martins. (2005). Small isn't beautiful: the cost disadvantages of small remote economies. Figshare. 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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