Mario Graff

1.1k total citations
65 papers, 638 citations indexed

About

Mario Graff is a scholar working on Artificial Intelligence, Management Science and Operations Research and Electrical and Electronic Engineering. According to data from OpenAlex, Mario Graff has authored 65 papers receiving a total of 638 indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Artificial Intelligence, 9 papers in Management Science and Operations Research and 8 papers in Electrical and Electronic Engineering. Recurrent topics in Mario Graff's work include Evolutionary Algorithms and Applications (22 papers), Metaheuristic Optimization Algorithms Research (18 papers) and Sentiment Analysis and Opinion Mining (10 papers). Mario Graff is often cited by papers focused on Evolutionary Algorithms and Applications (22 papers), Metaheuristic Optimization Algorithms Research (18 papers) and Sentiment Analysis and Opinion Mining (10 papers). Mario Graff collaborates with scholars based in Mexico, Spain and United Kingdom. Mario Graff's co-authors include Eric S. Téllez, Sabino Miranda‐Jiménez, Hugo Jair Escalante, Juan J. Flores, Daniela Moctezuma, Héctor Rodríguez, Riccardo Poli, Ramón Zataraín Cabada, María Lucía Barrón Estrada and Raúl Oramas Bustillos and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.

In The Last Decade

Mario Graff

62 papers receiving 609 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mario Graff Mexico 15 411 110 82 71 44 65 638
Yufei Wang China 12 457 1.1× 50 0.5× 82 1.0× 58 0.8× 88 2.0× 67 784
Nesar Ahmad India 12 264 0.6× 33 0.3× 125 1.5× 59 0.8× 71 1.6× 48 588
Deepali Vora India 12 183 0.4× 46 0.4× 74 0.9× 27 0.4× 98 2.2× 56 464
Federico Cerutti United Kingdom 13 545 1.3× 35 0.3× 79 1.0× 25 0.4× 57 1.3× 69 772
Juan Ramón Rico-Juan Spain 14 319 0.8× 46 0.4× 79 1.0× 34 0.5× 154 3.5× 38 608
Sumit Kumar India 14 202 0.5× 154 1.4× 71 0.9× 45 0.6× 137 3.1× 56 768
Shenglei Chen China 9 272 0.7× 29 0.3× 94 1.1× 50 0.7× 35 0.8× 24 443
Eric W. Cooper Japan 7 358 0.9× 78 0.7× 62 0.8× 16 0.2× 62 1.4× 50 584
Azreen Azman Malaysia 16 411 1.0× 27 0.2× 187 2.3× 41 0.6× 73 1.7× 76 863
Shenggong Ji China 14 148 0.4× 42 0.4× 67 0.8× 43 0.6× 57 1.3× 21 520

Countries citing papers authored by Mario Graff

Since Specialization
Citations

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

Fields of papers citing papers by Mario Graff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mario Graff

This figure shows the co-authorship network connecting the top 25 collaborators of Mario Graff. A scholar is included among the top collaborators of Mario Graff 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 Mario Graff. Mario Graff 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.
Graff, Mario, Daniela Moctezuma, & Eric S. Téllez. (2025). Bag-of-Word approach is not dead: A performance analysis on a myriad of text classification challenges. SHILAP Revista de lepidopterología. 11. 100154–100154.
2.
Flores, Juan J., et al.. (2023). Models to classify the difficulty of genetic algorithms to solve continuous optimization problems. Natural Computing. 23(2). 431–451. 4 indexed citations
3.
Téllez, Eric S., et al.. (2023). Regionalized models for Spanish language variations based on Twitter. Language Resources and Evaluation. 57(4). 1697–1727. 3 indexed citations
4.
Domı́nguez, J., et al.. (2023). Recommendation System for a Delivery Food Application Based on Number of Orders. Applied Sciences. 13(4). 2299–2299. 10 indexed citations
5.
Moctezuma, Daniela, et al.. (2022). Contesting views on mobility restrictions in urban green spaces amid COVID-19—Insights from Twitter in Latin America and Spain. Cities. 132. 104094–104094. 7 indexed citations
6.
Graff, Mario, Daniela Moctezuma, Sabino Miranda‐Jiménez, & Eric S. Téllez. (2020). A Python Library for Exploratory Data Analysis and Knowledge Discovery on Twitter Data.. arXiv (Cornell University). 1 indexed citations
7.
Téllez, Eric S., et al.. (2020). Improving k Nearest Neighbors and Naïve Bayes Classifiers Through Space Transformations and Model Selection. IEEE Access. 8. 221669–221688. 2 indexed citations
8.
Téllez, Eric S., et al.. (2019). INGEOTEC at IberLEF 2019 Task HaHa.. 203–211. 2 indexed citations
9.
Díaz–Galiano, Manuel Carlos, Luis Chiruzzo, Miguel Ángel García Cumbreras, et al.. (2019). Overview of TASS 2019: One More Further for the Global Spanish Sentiment Analysis Corpus.. 550–560. 12 indexed citations
10.
Ornelas-Téllez, Fernando, Alma Y. Alanís, Jorge D. Rios, & Mario Graff. (2018). Reduced‐order Observer for State‐dependent Coefficient Factorized Nonlinear Systems. Asian Journal of Control. 21(3). 1216–1227. 6 indexed citations
11.
Velázquez, Ramiro, et al.. (2018). Analysis of wind missing data for wind farms in Isthmus of Tehuantepec. 1–6. 4 indexed citations
12.
Téllez, Eric S., et al.. (2018). Gender Identification through Multi-modal Tweet Analysis using MicroTC and Bag of Visual Words: Notebook for PAN at CLEF 2018.. CLEF (Working Notes). 2 indexed citations
13.
Graff, Mario, et al.. (2018). INGEOTEC at MEX-A3T: Author Profiling and Aggressiveness Analysis in Twitter Using μTC and EvoMSA.. 128–133. 3 indexed citations
14.
Téllez, Eric S., Sabino Miranda‐Jiménez, Mario Graff, & Daniela Moctezuma. (2017). Gender and language-variety Identification with MicroTC.. CLEF (Working Notes). 3 indexed citations
15.
Graff, Mario, et al.. (2015). Memetic Genetic Programming based on orthogonal projections in the phenotype space. 1–6. 1 indexed citations
16.
Escalante, Hugo Jair, et al.. (2014). Comparison between Genetic Programming and full model selection on classification problems. 1001. 1–6. 6 indexed citations
17.
Graff, Mario, et al.. (2013). Models of performance of time series forecasters. Neurocomputing. 122. 375–385. 11 indexed citations
18.
Pacheco, Marco Aurélio C., Mario Graff, & Jaime Cerdá. (2013). A fitness case strategy in genetic programming to improve system identification. 324. 1–6.
19.
Graff, Mario & Riccardo Poli. (2010). Practical performance models of algorithms in evolutionary program induction and other domains. Artificial Intelligence. 174(15). 1254–1276. 17 indexed citations
20.
Prata, Ndola, Mario Graff, Amy J. Graves, & Malcolm Potts. (2009). Avoidable maternal deaths: Three ways to help now. Global Public Health. 4(6). 575–587. 14 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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