Luis J. Mena

2.5k total citations · 1 hit paper
46 papers, 1.3k citations indexed

About

Luis J. Mena is a scholar working on Cardiology and Cardiovascular Medicine, Artificial Intelligence and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Luis J. Mena has authored 46 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Cardiology and Cardiovascular Medicine, 8 papers in Artificial Intelligence and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Luis J. Mena's work include Blood Pressure and Hypertension Studies (13 papers), Heart Rate Variability and Autonomic Control (7 papers) and Cardiovascular Health and Disease Prevention (7 papers). Luis J. Mena is often cited by papers focused on Blood Pressure and Hypertension Studies (13 papers), Heart Rate Variability and Autonomic Control (7 papers) and Cardiovascular Health and Disease Prevention (7 papers). Luis J. Mena collaborates with scholars based in United States, Mexico and Venezuela. Luis J. Mena's co-authors include Gladys E. Maestre, Vanessa G. Félix, Salvador Pintos, Tulio Sulbarán, Néstor V. Queipo, Rodolfo Ostos, Alberto Ochoa-Brust, Jesús D. Melgarejo, Rafael Martínez-Peláez and Jesús A. González and has published in prestigious journals such as SHILAP Revista de lepidopterología, Ophthalmology and Sensors.

In The Last Decade

Luis J. Mena

43 papers receiving 1.2k citations

Hit Papers

Role of Digital Transformation for Achieving Sustainabili... 2023 2026 2024 2025 2023 50 100 150 200

Peers

Luis J. Mena
Sooyoung Yoo South Korea
Jong Yeol Kim South Korea
Varun Agrawal United States
Zhe Li China
Luis J. Mena
Citations per year, relative to Luis J. Mena Luis J. Mena (= 1×) peers Howard H. Carter

Countries citing papers authored by Luis J. Mena

Since Specialization
Citations

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

Fields of papers citing papers by Luis J. Mena

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luis J. Mena

This figure shows the co-authorship network connecting the top 25 collaborators of Luis J. Mena. A scholar is included among the top collaborators of Luis J. Mena 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 J. Mena. Luis J. Mena 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
2.
Melgarejo, Jesús D., Sokratis Charisis, Kristina Vatcheva, et al.. (2025). Baseline associations of office and ambulatory blood pressure monitoring with cognitive function and dementia prevalence. Journal of Alzheimer s Disease. 104(4). 1064–1074.
3.
Martínez-Peláez, Rafael, Luis J. Mena, Homero Toral-Cruz, et al.. (2025). Can Large Language Models Foster Critical Thinking, Teamwork, and Problem-Solving Skills in Higher Education?: A Literature Review. Systems. 13(11). 1013–1013. 1 indexed citations
4.
Melgarejo, Jesús D., Sokratis Charisis, Kristina Vatcheva, et al.. (2024). ASSOCIATION OF OFFICE AND AMBULATORY BLOOD PRESSURE MONITORING WITH COGNITIVE FUNCTION AND DEMENTIA PREVALENCE. Journal of Hypertension. 42(Suppl 1). e93–e93.
5.
Melgarejo, Jesús D., Luis J. Mena, Kristina Vatcheva, et al.. (2024). Association of Variability and Hypertensive Loads in 24-h Blood Pressure With Mortality and Cardiovascular Risk. American Journal of Hypertension. 37(5). 323–333. 2 indexed citations
6.
Melgarejo, Jesús D., Dongmei Wei, Gladys E. Maestre, et al.. (2023). Effect of 24-h blood pressure dysregulations and reduced ocular perfusion pressure in open-angle glaucoma progression. Journal of Hypertension. 41(11). 1785–1792. 5 indexed citations
7.
Mena, Luis J., Carla Avellaneda-Gómez, Maria Àngels Font, et al.. (2023). Relationship of arterial stiffness and baseline vascular burden with new lacunes and microbleeds: A longitudinal cohort study. European Stroke Journal. 9(1). 251–258. 1 indexed citations
8.
Martínez-Peláez, Rafael, Alberto Ochoa-Brust, Vanessa G. Félix, et al.. (2023). Role of Digital Transformation for Achieving Sustainability: Mediated Role of Stakeholders, Key Capabilities, and Technology. Sustainability. 15(14). 11221–11221. 231 indexed citations breakdown →
9.
Melgarejo, Jesús D., Gladys E. Maestre, José Gutierrez, et al.. (2022). Subclinical Magnetic Resonance Imaging Markers of Cerebral Small Vessel Disease in Relation to Office and Ambulatory Blood Pressure Measurements. Frontiers in Neurology. 13. 908260–908260. 1 indexed citations
10.
Gómez‐Choco, Manuel, Luis J. Mena, Maria Àngels Font, et al.. (2022). NT-proBNP, cerebral small vessel disease and cardiac function in patients with a recent lacunar infarct. Journal of Human Hypertension. 37(1). 62–67. 3 indexed citations
11.
Melgarejo, Jesús D., Gladys E. Maestre, Luis J. Mena, et al.. (2021). Normal-tension glaucomatous optic neuropathy is related to blood pressure variability in the Maracaibo Aging Study. Hypertension Research. 44(9). 1105–1112. 8 indexed citations
12.
Rudilosso, Salvatore, et al.. (2021). Higher Cerebral Small Vessel Disease Burden in Patients with White Matter Recent Small Subcortical Infarcts. Journal of Stroke and Cerebrovascular Diseases. 30(7). 105824–105824. 5 indexed citations
13.
Ochoa-Brust, Alberto, et al.. (2019). Noise-tolerant modular neural network system for classifying ECG signal. Informatica. 43(1). 1 indexed citations
14.
Melgarejo, Jesús D., Luis J. Mena, Carlos Chávez, et al.. (2018). Risk Factors for Orthostatic Hypotension: Differences Between Elderly Men and Women. STM:n Hallinnonalan avoin julkaisuarkisto (Julkari). 1 indexed citations
15.
Mena, Luis J., et al.. (2018). Análisis cualitativo sobre aspectos psicológicos y rendimiento deportivo en Lucha Olímpica. SHILAP Revista de lepidopterología. 3(2). 1–19. 2 indexed citations
16.
Mena, Luis J., Vanessa G. Félix, Alberto Ochoa-Brust, et al.. (2018). Mobile Personal Health Monitoring for Automated Classification of Electrocardiogram Signals in Elderly. Computational and Mathematical Methods in Medicine. 2018. 1–9. 27 indexed citations
17.
Mena, Luis J., Vanessa G. Félix, Jesús D. Melgarejo, & Gladys E. Maestre. (2017). 24‐Hour Blood Pressure Variability Assessed by Average Real Variability: A Systematic Review and Meta‐Analysis. Journal of the American Heart Association. 6(10). 144 indexed citations
18.
Boggia, José, Kei Asayama, Yan Li, et al.. (2014). Cardiovascular Risk Stratification and Blood Pressure Variability on Ambulatory and Home Blood Pressure Measurement. Current Hypertension Reports. 16(9). 470–470. 23 indexed citations
19.
Mena, Luis J., Vanessa G. Félix, Rodolfo Ostos, et al.. (2013). Mobile Personal Health System for Ambulatory Blood Pressure Monitoring. Computational and Mathematical Methods in Medicine. 2013. 1–13. 29 indexed citations
20.
Mena, Luis J. & Jesús A. González. (2006). Machine Learning for Imbalanced Datasets: Application in Medical Diagnostic. The Florida AI Research Society. 574–579. 43 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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