Manuel Montes

1.3k total citations
33 papers, 788 citations indexed

About

Manuel Montes is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Manuel Montes has authored 33 papers receiving a total of 788 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 4 papers in Information Systems. Recurrent topics in Manuel Montes's work include Topic Modeling (13 papers), Natural Language Processing Techniques (9 papers) and Advanced Image and Video Retrieval Techniques (6 papers). Manuel Montes is often cited by papers focused on Topic Modeling (13 papers), Natural Language Processing Techniques (9 papers) and Advanced Image and Video Retrieval Techniques (6 papers). Manuel Montes collaborates with scholars based in Mexico, Spain and United States. Manuel Montes's co-authors include Hugo Jair Escalante, Luis Enrique Sucar, Thamar Solorio, Luis Villaseñor-Pineda, Eduardo F. Morales, Jesús A. González, Carlos Hernández, Michael Grubinger, Aurelio López‐López and Steven Bethard and has published in prestigious journals such as Journal of Chromatography A, Expert Systems with Applications and Journal of Pharmaceutical Sciences.

In The Last Decade

Manuel Montes

30 papers receiving 741 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Manuel Montes Mexico 11 475 369 72 28 27 33 788
Varun Manjunatha United States 8 678 1.4× 242 0.7× 80 1.1× 37 1.3× 29 1.1× 18 847
Jingbo Zhu China 17 1.0k 2.2× 203 0.6× 104 1.4× 27 1.0× 42 1.6× 104 1.1k
Nikolaos Pappas Switzerland 12 500 1.1× 244 0.7× 129 1.8× 51 1.8× 26 1.0× 32 693
Nathan Keller Israel 13 309 0.7× 211 0.6× 49 0.7× 64 2.3× 16 0.6× 43 419
Weiran Xu China 15 916 1.9× 167 0.5× 146 2.0× 40 1.4× 23 0.9× 75 1.0k
Kenji Kita Japan 10 310 0.7× 118 0.3× 79 1.1× 69 2.5× 25 0.9× 114 494
Junhui Li China 16 642 1.4× 180 0.5× 51 0.7× 24 0.9× 38 1.4× 70 750
Yue Hu China 16 599 1.3× 285 0.8× 225 3.1× 25 0.9× 16 0.6× 69 811
Chenyi Zhuang Japan 9 295 0.6× 138 0.4× 98 1.4× 28 1.0× 34 1.3× 29 469
Canwen Xu United States 9 691 1.5× 193 0.5× 73 1.0× 21 0.8× 24 0.9× 20 761

Countries citing papers authored by Manuel Montes

Since Specialization
Citations

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

Fields of papers citing papers by Manuel Montes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manuel Montes

This figure shows the co-authorship network connecting the top 25 collaborators of Manuel Montes. A scholar is included among the top collaborators of Manuel Montes 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 Manuel Montes. Manuel Montes 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.
López-Monroy, Adrián Pastor, et al.. (2023). DisorBERT: A Double Domain Adaptation Model for Detecting Signs of Mental Disorders in Social Media. 15305–15318. 9 indexed citations
2.
Rodríguez‐López, Jesús, et al.. (2021). UACH-INAOE at SMM4H: a BERT based approach for classification of COVID-19 Twitter posts. 65–68. 3 indexed citations
3.
López-Monroy, Adrián Pastor, Fabio A. González, Manuel Montes, Hugo Jair Escalante, & Thamar Solorio. (2018). Early Text Classification Using Multi-Resolution Concept Representations. 1216–1225. 7 indexed citations
4.
Shrestha, Prasha, et al.. (2017). Convolutional Neural Networks for Authorship Attribution of Short Texts. 669–674. 102 indexed citations
5.
Montes, Manuel, et al.. (2016). Factores fisiológicos y psicológicos que influyen en la rehabilitación de las personas con trauma raquimedular. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 10(1). 47–52.
6.
Bethard, Steven, et al.. (2015). Not All Character N-grams Are Created Equal: A Study in Authorship Attribution. 87 indexed citations
7.
Solorio, Thamar, et al.. (2014). Cross-Topic Authorship Attribution: Will Out-Of-Topic Data Help?. 1228–1237. 18 indexed citations
8.
Escalante, Hugo Jair, et al.. (2014). Towards the automated generation of term-weighting schemes for text categorization. 1459–1460. 2 indexed citations
9.
Solorio, Thamar, Manuel Montes, Yang Liu, et al.. (2013). Exploring Word Class N-grams to Measure Language Development in Children. Meeting of the Association for Computational Linguistics. 89–97. 3 indexed citations
10.
Montes, Manuel & Hugo Jair Escalante. (2013). Novel representations and methods in text classification. 1 indexed citations
11.
Escalante, Hugo Jair, Manuel Montes, & Luis Enrique Sucar. (2012). Multi-class particle swarm model selection for automatic image annotation. Expert Systems with Applications. 39(12). 11011–11021. 9 indexed citations
12.
Villatoro-Tello, Esaú, et al.. (2012). Document ranking refinement using a Markov random field model. Natural Language Engineering. 18(2). 155–185. 3 indexed citations
13.
Chavéz-García, R. Omar, Manuel Montes, & Luis Enrique Sucar. (2011). Using a Markov Random Field for Image Re-ranking Based on Visual and Textual Features. Computación y Sistemas. 14(4). 393–404. 1 indexed citations
14.
Zhang, Chengcui, et al.. (2011). UAB at MediaEval 2011: Genre Tagging Task. MediaEval. 1 indexed citations
15.
Pallarés, José F. García-Hidalgo, et al.. (2010). El Cretácico del Sistema Central (España): Registro estratigráfico, contexto deposicional y esquema evolutivo. Boletín de la Real Sociedad Española de Historia Natural. Sección geológica. 104(1). 15–36. 3 indexed citations
16.
Escalante, Hugo Jair, Manuel Montes, & Luis Enrique Sucar. (2009). Particle Swarm Model Selection. Journal of Machine Learning Research. 10(15). 405–440. 119 indexed citations
17.
Escalante, Hugo Jair, et al.. (2008). Late fusion of heterogeneous methods for multimedia image retrieval. 172–179. 48 indexed citations
18.
Villatoro-Tello, Esaú, et al.. (2007). INAOE's Participation at QA@CLEF 2007. CLEF (Working Notes). 4 indexed citations
19.
20.
Vera, Antonio, et al.. (1992). Quantitative Structure—Activity Relationship Study of the Biophysicochemical Behavior of Nitrosamine. Journal of Pharmaceutical Sciences. 81(8). 791–796. 3 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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