Raúl Monroy

1.7k citations
89 papers · 1.1k · h-index 19

Impact in

    • Advanced Malware Detection Techniques
    • Biometric Identification and Security
    • Spam and Phishing Detection
    • Data Mining Algorithms and Applications

Papers in

    • Imbalanced Data Classification Techniques 8
    • Anomaly Detection Techniques and Applications 7
    • Logic, programming, and type systems 7
    • Data Mining Algorithms and Applications 7

Raúl Monroy

82 papers receiving 1.0k citations

Peers

Raúl Monroy
Comparison fields: 5 of 115
  • Signal Processing 292
  • Information Systems 333
  • Artificial Intelligence 427
  • Computer Networks and Communications 299
  • Computer Vision and Pattern Recognition 213
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Dayong Ye Australia
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Jinyin Chen China
Evangelos Markakis Greece
Claudia Linnhoff‐Popien Germany
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Citations per field
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Citations per year

Countries citing papers authored by Raúl Monroy

Since Specialization
Citations

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

Fields of papers citing papers by Raúl Monroy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Raúl Monroy, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Raúl Monroy Line = papers co-authored together Raúl Monroy links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202082
2 200667
3 201657
4 201955
5 201953
6 200440
7 202031
8 202131
9 200827
10 201824
11 201224
12 202122
13 201822
14 201820
15 201320
16 202119
17 201619
18 201518
19 201918
20 201918

About Raúl Monroy

Raúl Monroy is a scholar working on Artificial Intelligence, Information Systems, Signal Processing, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 89 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (11 papers), Biometric Identification and Security (10 papers), Network Security and Intrusion Detection (10 papers), Imbalanced Data Classification Techniques (8 papers), Anomaly Detection Techniques and Applications (7 papers), Logic, programming, and type systems (7 papers), Data Mining Algorithms and Applications (7 papers) and Forensic and Genetic Research (6 papers). The work is most often cited by research in Signal Processing (292 citations), Information Systems (333 citations), Artificial Intelligence (427 citations), Computer Networks and Communications (299 citations) and Computer Vision and Pattern Recognition (213 citations). Raúl Monroy has collaborated with scholars based in Mexico, United States and Spain. Frequent co-authors include Miguel Angel Medina‐Pérez, Octavio Loyola‐González, Jorge Rodríguez‐Ruiz, Luis A. Trejo, Rafael Murrieta-Cid, Milton García-Borroto, Seth Hutchinson, Jesús Ariel Carrasco-Ochoa, José Emmanuel Ramírez-Márquez and José Fco. Martínez-Trinidad. Their work appears in journals such as IEEE Access, Applied Sciences, Sensors, Expert Systems with Applications and Knowledge-Based Systems.

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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