Marta Arias

956 total citations
38 papers, 476 citations indexed

About

Marta Arias is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Networks and Communications. According to data from OpenAlex, Marta Arias has authored 38 papers receiving a total of 476 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 11 papers in Computational Theory and Mathematics and 9 papers in Computer Networks and Communications. Recurrent topics in Marta Arias's work include Machine Learning and Algorithms (9 papers), semigroups and automata theory (5 papers) and Algorithms and Data Compression (5 papers). Marta Arias is often cited by papers focused on Machine Learning and Algorithms (9 papers), semigroups and automata theory (5 papers) and Algorithms and Data Compression (5 papers). Marta Arias collaborates with scholars based in Spain, United States and Belgium. Marta Arias's co-authors include Argimiro Arratia, Gail E. Kaiser, Christian Murphy, Joan Capdevila Pujol, Roni Khardon, Hila Becker, José L. Balcázar, Gustavo Corach, Lenore Cowen and Rajmohan Rajaraman and has published in prestigious journals such as Annals of the New York Academy of Sciences, Neurocomputing and Machine Learning.

In The Last Decade

Marta Arias

38 papers receiving 428 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marta Arias Spain 12 201 102 83 62 59 38 476
Mark Truran United Kingdom 6 305 1.5× 154 1.5× 90 1.1× 51 0.8× 23 0.4× 20 537
Daniel Berleant United States 14 500 2.5× 86 0.8× 61 0.7× 163 2.6× 33 0.6× 78 982
Rajesh Parekh United States 13 324 1.6× 146 1.4× 49 0.6× 51 0.8× 9 0.2× 34 604
Yi Fang United States 13 396 2.0× 281 2.8× 49 0.6× 37 0.6× 21 0.4× 53 654
Renato Bruni Italy 15 150 0.7× 54 0.5× 48 0.6× 77 1.2× 37 0.6× 54 613
Wangyang Yu China 11 68 0.3× 138 1.4× 90 1.1× 72 1.2× 34 0.6× 41 365
Alessandro Aldini Italy 13 278 1.4× 166 1.6× 220 2.7× 119 1.9× 46 0.8× 70 520
Mehrdad Ashtiani Iran 10 104 0.5× 144 1.4× 105 1.3× 13 0.2× 27 0.5× 38 327
Hassan Haghighi Iran 13 153 0.8× 339 3.3× 217 2.6× 22 0.4× 145 2.5× 70 566
Jim Webber United Kingdom 8 283 1.4× 271 2.7× 323 3.9× 28 0.5× 22 0.4× 15 730

Countries citing papers authored by Marta Arias

Since Specialization
Citations

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

Fields of papers citing papers by Marta Arias

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marta Arias

This figure shows the co-authorship network connecting the top 25 collaborators of Marta Arias. A scholar is included among the top collaborators of Marta Arias 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 Marta Arias. Marta Arias 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.
Carmona, Josep, et al.. (2020). Knowledge-Based Segmentation to Improve Accuracy and Explainability in Non-Technical Losses Detection. Energies. 13(21). 5674–5674. 5 indexed citations
2.
Suárez‐Varela, José, Krzysztof Rusek, Paul Almasan, et al.. (2019). Challenging the generalization capabilities of Graph Neural Networks for network modeling. QRU Quaderns de Recerca en Urbanisme. 114–115. 30 indexed citations
3.
Hernández-Fernändez, Antoni, et al.. (2017). Does like seek like?: The formation of working groups in a programming project. Journal of Technology and Science Education. 7(2). 231–231. 2 indexed citations
4.
Arias, Marta, et al.. (2016). Automated Construction and Analysis of Political Networks via Open Government and Media Sources.. QRU Quaderns de Recerca en Urbanisme. 1–17. 2 indexed citations
5.
Fernández, Javier, et al.. (2016). From Training to Match Performance: A Predictive and Explanatory Study on Novel Tracking Data. QRU Quaderns de Recerca en Urbanisme. 136–143. 5 indexed citations
6.
Fernández, Javier, et al.. (2016). Does training affect match performance? A study using data mining and tracking devices. QRU Quaderns de Recerca en Urbanisme. 1–10. 3 indexed citations
7.
Pujol, Joan Capdevila, Marta Arias, & Argimiro Arratia. (2015). GeoSRS: A hybrid social recommender system for geolocated data. Information Systems. 57. 111–128. 31 indexed citations
8.
Arias, Marta, et al.. (2015). Learning definite Horn formulas from closure queries. Theoretical Computer Science. 658. 346–356. 3 indexed citations
9.
Amado, Ester, et al.. (2015). Characterizing chronic disease and polymedication prescription patterns from electronic health records. QRU Quaderns de Recerca en Urbanisme. 1–9. 10 indexed citations
10.
Fontseré, Néstor, Francisco Maduell, Miquel Blasco, et al.. (2012). Thermodilution versus saline dilution method for vascular access blood flow measurement in high-flux and on-line hemodiafiltration. The Journal of Vascular Access. 0–0. 1 indexed citations
11.
Arias, Marta, et al.. (2011). LEARNING THEORY THROUGH VIDEOS - A Teaching Experience in a Theoretical Course based on Self-learning Videos and Problem-solving Sessions. UPCommons institutional repository (Universitat Politècnica de Catalunya). 93–98. 2 indexed citations
12.
Arias, Marta, et al.. (2009). Electrochemical Synthesis Production methods of graphene and resulting material properties. 1 indexed citations
13.
Arias, Marta, et al.. (2008). Generalized inverses and Douglas equations. Proceedings of the American Mathematical Society. 136(9). 3177–3183. 20 indexed citations
14.
Arias, Marta, et al.. (2007). Learning Horn Expressions with LOGAN-H. Journal of Machine Learning Research. 8(20). 549–587. 8 indexed citations
15.
Kundaje, Anshul, Steve Lianoglou, Xuejing Li, et al.. (2007). Learning Regulatory Programs That Accurately Predict Differential Expression with MEDUSA. Annals of the New York Academy of Sciences. 1115(1). 178–202. 11 indexed citations
16.
Becker, Hila & Marta Arias. (2007). Real-time ranking with concept drift using expert advice. 86–94. 18 indexed citations
17.
Arias, Marta, et al.. (2006). Polynomial certificates for propositional classes. Information and Computation. 204(5). 816–834. 5 indexed citations
18.
Khardon, Roni & Marta Arias. (2005). The subsumption lattice and query learning. Journal of Computer and System Sciences. 72(1). 72–94. 3 indexed citations
19.
Khardon, Roni & Marta Arias. (2004). Exact learning of first-order expressions from queries. 2 indexed citations
20.
Arias, Marta. (2002). Learning Closed Horn Expressions. Information and Computation. 178(1). 214–240. 13 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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