Marc Franco-Salvador

751 total citations
24 papers, 358 citations indexed

About

Marc Franco-Salvador is a scholar working on Artificial Intelligence, Sociology and Political Science and Information Systems. According to data from OpenAlex, Marc Franco-Salvador has authored 24 papers receiving a total of 358 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 2 papers in Sociology and Political Science and 2 papers in Information Systems. Recurrent topics in Marc Franco-Salvador's work include Topic Modeling (20 papers), Natural Language Processing Techniques (13 papers) and Text Readability and Simplification (7 papers). Marc Franco-Salvador is often cited by papers focused on Topic Modeling (20 papers), Natural Language Processing Techniques (13 papers) and Text Readability and Simplification (7 papers). Marc Franco-Salvador collaborates with scholars based in Spain, Germany and United States. Marc Franco-Salvador's co-authors include Paolo Rosso, Manuel Montes-y-Gómez, Sanja Štajner, Parth Gupta, Roberto Navigli, Rafael E. Banchs, Simone Paolo Ponzetto, Thamar Solorio, Sudipta Kar and José A. Troyano and has published in prestigious journals such as Knowledge-Based Systems, International Journal of Human-Computer Studies and Information Processing & Management.

In The Last Decade

Marc Franco-Salvador

23 papers receiving 332 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marc Franco-Salvador Spain 12 314 60 53 15 15 24 358
Leilani H. Gilpin United States 6 97 0.3× 16 0.3× 18 0.3× 16 1.1× 14 0.9× 14 152
Esaú Villatoro-Tello Mexico 12 250 0.8× 140 2.3× 66 1.2× 42 2.8× 10 0.7× 53 343
Shrimai Prabhumoye United States 7 274 0.9× 28 0.5× 18 0.3× 13 0.9× 48 3.2× 10 346
Ángel Alexander Cabrera United States 7 94 0.3× 25 0.4× 68 1.3× 11 0.7× 39 2.6× 8 174
Christopher Dann Australia 6 129 0.4× 52 0.9× 7 0.1× 13 0.9× 8 0.5× 26 259
Emily Sheng United States 6 355 1.1× 33 0.6× 38 0.7× 12 0.8× 56 3.7× 10 420
Md Mehrab Tanjim United States 5 135 0.4× 79 1.3× 18 0.3× 7 0.5× 22 1.5× 8 232
Joe Barrow United States 5 134 0.4× 26 0.4× 17 0.3× 9 0.6× 13 0.9× 9 210
Ashwin Kalyan United States 9 150 0.5× 27 0.5× 24 0.5× 8 0.5× 25 1.7× 13 212
Hila Gonen United States 9 307 1.0× 22 0.4× 20 0.4× 5 0.3× 38 2.5× 21 357

Countries citing papers authored by Marc Franco-Salvador

Since Specialization
Citations

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

Fields of papers citing papers by Marc Franco-Salvador

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marc Franco-Salvador. 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 Marc Franco-Salvador. The network helps show where Marc Franco-Salvador may publish in the future.

Co-authorship network of co-authors of Marc Franco-Salvador

This figure shows the co-authorship network connecting the top 25 collaborators of Marc Franco-Salvador. A scholar is included among the top collaborators of Marc Franco-Salvador 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 Marc Franco-Salvador. Marc Franco-Salvador 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.
González, José Ángel, et al.. (2024). TextMachina: Seamless Generation of Machine-Generated Text Datasets. Procedia Computer Science. 246. 566–575. 1 indexed citations
2.
Basile, Angelo, Marc Franco-Salvador, & Paolo Rosso. (2023). Zero-Shot Data Maps. Efficient Dataset Cartography Without Model Training. 8264–8277.
3.
Müller, Thomas, et al.. (2022). Few-Shot Learning with Siamese Networks and Label Tuning. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 8532–8545. 16 indexed citations
4.
Basile, Angelo, et al.. (2021). UPV-Symanto at eRisk 2021: Mental Health Author Profiling for Early Risk Prediction on the Internet.. RiuNet (Politechnical University of Valencia). 908–927. 3 indexed citations
5.
Franco-Salvador, Marc, et al.. (2021). Probabilistic Ensembles of Zero- and Few-Shot Learning Models for Emotion Classification. 128–137. 3 indexed citations
6.
Štajner, Sanja, et al.. (2021). Five Psycholinguistic Characteristics for Better Interaction with Users. 1–7. 1 indexed citations
7.
Cohrdes, Caroline, et al.. (2021). Indications of Depressive Symptoms During the COVID-19 Pandemic in Germany: Comparison of National Survey and Twitter Data. JMIR Mental Health. 8(6). e27140–e27140. 11 indexed citations
8.
Štajner, Sanja, et al.. (2021). What Motivates You? Benchmarking Automatic Detection of Basic Needs from Short Posts. 803–810. 1 indexed citations
9.
10.
Štajner, Sanja, Marc Franco-Salvador, Paolo Rosso, & Simone Paolo Ponzetto. (2018). CATS: A Tool for Customized Alignment of Text Simplification Corpora. Language Resources and Evaluation. 26 indexed citations
11.
Franco-Salvador, Marc & Luis A. Leiva. (2018). Multilingual phrase sampling for text entry evaluations. International Journal of Human-Computer Studies. 113. 15–31. 12 indexed citations
12.
Franco-Salvador, Marc, et al.. (2017). Subword-based Deep Averaging Networks for Author Profiling in Social Media.. CLEF (Working Notes). 8 indexed citations
13.
Franco-Salvador, Marc, et al.. (2017). Bridging the Native Language and Language Variety Identification Tasks. Procedia Computer Science. 112. 1554–1561. 6 indexed citations
14.
Štajner, Sanja, Marc Franco-Salvador, Simone Paolo Ponzetto, Paolo Rosso, & Heiner Stuckenschmidt. (2017). Sentence Alignment Methods for Improving Text Simplification Systems. MADOC (University of Mannheim). 97–102. 19 indexed citations
15.
Franco-Salvador, Marc, et al.. (2017). Single and Cross-domain Polarity Classification using String Kernels. 558–563. 8 indexed citations
16.
Franco-Salvador, Marc, Paolo Rosso, & Manuel Montes-y-Gómez. (2016). A systematic study of knowledge graph analysis for cross-language plagiarism detection. Information Processing & Management. 52(4). 550–570. 74 indexed citations
17.
Álvarez‐Carmona, Miguel Á., Marc Franco-Salvador, Esaú Villatoro-Tello, et al.. (2015). Semantically-informed distance and similarity measures for paraphrase plagiarism identification. Journal of Intelligent & Fuzzy Systems. 34(5). 2983–2990. 12 indexed citations
18.
Franco-Salvador, Marc, Fermín L. Cruz, José A. Troyano, & Paolo Rosso. (2015). Cross-domain polarity classification using a knowledge-enhanced meta-classifier. Knowledge-Based Systems. 86. 46–56. 25 indexed citations
19.
Franco-Salvador, Marc, Paolo Rosso, & Francisco Rangel. (2015). Distributed Representations of Words and Documents for Discriminating Similar Languages. 11–16. 13 indexed citations
20.
Franco-Salvador, Marc, Parth Gupta, & Paolo Rosso. (2012). Cross-language Plagiarism Detection Using BabelNet’s Statistical Dictionary. Computación y Sistemas. 16(4). 383–390. 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Leilani H. Gilpin Breakdown of academic impact, for papers by Esaú Villatoro-Tello Breakdown of academic impact, for papers by Shrimai Prabhumoye Breakdown of academic impact, for papers by Ángel Alexander Cabrera Breakdown of academic impact, for papers by Christopher Dann Breakdown of academic impact, for papers by Emily Sheng Breakdown of academic impact, for papers by Md Mehrab Tanjim Breakdown of academic impact, for papers by Joe Barrow Breakdown of academic impact, for papers by Ashwin Kalyan Breakdown of academic impact, for papers by Hila Gonen
Rankless by CCL
2026