Luis A. Trejo

506 total citations
28 papers, 307 citations indexed

About

Luis A. Trejo is a scholar working on Artificial Intelligence, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, Luis A. Trejo has authored 28 papers receiving a total of 307 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 11 papers in Computer Networks and Communications and 7 papers in Signal Processing. Recurrent topics in Luis A. Trejo's work include Network Security and Intrusion Detection (9 papers), Anomaly Detection Techniques and Applications (7 papers) and Internet Traffic Analysis and Secure E-voting (5 papers). Luis A. Trejo is often cited by papers focused on Network Security and Intrusion Detection (9 papers), Anomaly Detection Techniques and Applications (7 papers) and Internet Traffic Analysis and Secure E-voting (5 papers). Luis A. Trejo collaborates with scholars based in Mexico, United States and Canada. Luis A. Trejo's co-authors include Raúl Monroy, Ramón Brena, Oscar Mayora, Miguel Angel Medina‐Pérez, Carlos Hernández, José Emmanuel Ramírez-Márquez, Palden Lama, Rajendra V. Boppana, Juan Felipe Botero and José Antonio Cantoral-Ceballos and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.

In The Last Decade

Luis A. Trejo

25 papers receiving 294 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Luis A. Trejo Mexico 11 141 134 79 71 52 28 307
Sadaqat Ur Rehman United Kingdom 7 134 1.0× 152 1.1× 41 0.5× 94 1.3× 37 0.7× 22 382
Jumabek Alikhanov South Korea 7 163 1.2× 173 1.3× 37 0.5× 85 1.2× 18 0.3× 12 287
Masood Habib Pakistan 9 55 0.4× 208 1.6× 49 0.6× 31 0.4× 45 0.9× 18 347
Shibli Nisar Pakistan 10 136 1.0× 117 0.9× 45 0.6× 41 0.6× 67 1.3× 29 385
Mansoor Ebrahim Pakistan 10 79 0.6× 53 0.4× 109 1.4× 36 0.5× 35 0.7× 48 281
Gautam Thatte United States 10 172 1.2× 265 2.0× 103 1.3× 46 0.6× 23 0.4× 17 447
Belkacem Fergani Algeria 9 129 0.9× 110 0.8× 168 2.1× 45 0.6× 9 0.2× 31 300
Jianfeng Yang China 9 47 0.3× 199 1.5× 63 0.8× 55 0.8× 101 1.9× 44 360
Jorge Ortiz United States 10 124 0.9× 99 0.7× 121 1.5× 67 0.9× 25 0.5× 39 331
Hanqing Guo United States 12 126 0.9× 96 0.7× 64 0.8× 72 1.0× 37 0.7× 28 392

Countries citing papers authored by Luis A. Trejo

Since Specialization
Citations

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

Fields of papers citing papers by Luis A. Trejo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Luis A. Trejo. 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 Luis A. Trejo. The network helps show where Luis A. Trejo may publish in the future.

Co-authorship network of co-authors of Luis A. Trejo

This figure shows the co-authorship network connecting the top 25 collaborators of Luis A. Trejo. A scholar is included among the top collaborators of Luis A. Trejo 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 Luis A. Trejo. Luis A. Trejo 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.
Trejo, Luis A., et al.. (2024). Expanding a machine learning class towards its application to the stock market forecast. Applied Intelligence. 55(1). 1 indexed citations
2.
3.
Trejo, Luis A., et al.. (2024). A Comparative Study for Stock Market Forecast Based on a New Machine Learning Model. Big Data and Cognitive Computing. 8(4). 34–34. 3 indexed citations
4.
Kuang, Li, et al.. (2024). Wildfires and social media discourse: exploring mental health and emotional wellbeing through Twitter. Frontiers in Public Health. 12. 1349609–1349609. 3 indexed citations
5.
Trejo, Luis A., et al.. (2023). Measuring the Effectiveness of a Multicomponent Program to Manage Academic Stress through a Resilience to Stress Index. Sensors. 23(5). 2650–2650. 7 indexed citations
6.
7.
Trejo, Luis A., et al.. (2023). Extracting Mental Health Indicators From English and Spanish Social Media: A Machine Learning Approach. IEEE Access. 11. 128135–128152. 9 indexed citations
8.
Pérez-Díaz, Jesús Arturo, et al.. (2022). Toward the Protection of IoT Networks: Introducing the LATAM-DDoS-IoT Dataset. IEEE Access. 10. 106909–106920. 15 indexed citations
9.
Lama, Palden, et al.. (2021). On the Detection of Low-Rate Denial of Service Attacks at Transport and Application Layers. Electronics. 10(17). 2105–2105. 17 indexed citations
10.
Trejo, Luis A., et al.. (2020). A Pharmacist’s Role in a Dental Clinic: Establishing a Collaborative and Interprofessional Education Site. SHILAP Revista de lepidopterología. 11(2). 5–5. 1 indexed citations
11.
Trejo, Luis A., et al.. (2020). m-OCKRA: An Efficient One-Class Classifier for Personal Risk Detection, Based on Weighted Selection of Attributes. IEEE Access. 8. 41749–41763. 2 indexed citations
12.
Brena, Ramón, et al.. (2019). Multi-Sensor Fusion for Activity Recognition—A Survey. Sensors. 19(17). 3808–3808. 72 indexed citations
13.
Trejo, Luis A., et al.. (2018). Towards an Efficient One-Class Classifier for Mobile Devices and Wearable Sensors on the Context of Personal Risk Detection. Sensors. 18(9). 2857–2857. 2 indexed citations
14.
Medina‐Pérez, Miguel Angel, et al.. (2017). FiToViz: A Visualisation Approach for Real-Time Risk Situation Awareness. IEEE Transactions on Affective Computing. 9(3). 372–382. 10 indexed citations
15.
Alonso, Roberto, Raúl Monroy, & Luis A. Trejo. (2016). Mining IP to Domain Name Interactions to Detect DNS Flood Attacks on Recursive DNS Servers. Sensors. 16(8). 1311–1311. 9 indexed citations
16.
Rodríguez‐Ruiz, Jorge, et al.. (2016). Ensemble of One-Class Classifiers for Personal Risk Detection Based on Wearable Sensor Data. Sensors. 16(10). 1619–1619. 14 indexed citations
17.
Trejo, Luis A., et al.. (2016). Online personal risk detection based on behavioural and physiological patterns. Information Sciences. 384. 281–297. 11 indexed citations
18.
Monroy, Raúl, et al.. (2016). Temporal and Spatial Locality: An Abstraction for Masquerade Detection. IEEE Transactions on Information Forensics and Security. 11(9). 2036–2051. 16 indexed citations
19.
Trejo, Luis A.. (2008). El diseño de la política anti-corrupción del gobierno federal de México, 2000-2006. OBSERVATÓRIO DE LA ECONOMÍA LATINOAMERICANA. 1 indexed citations
20.

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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