Pedro Espino

1.3k total citations
19 papers, 1.0k citations indexed

About

Pedro Espino is a scholar working on Cognitive Neuroscience, Cardiology and Cardiovascular Medicine and Economics and Econometrics. According to data from OpenAlex, Pedro Espino has authored 19 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Cognitive Neuroscience, 6 papers in Cardiology and Cardiovascular Medicine and 3 papers in Economics and Econometrics. Recurrent topics in Pedro Espino's work include Neural dynamics and brain function (14 papers), EEG and Brain-Computer Interfaces (12 papers) and Heart Rate Variability and Autonomic Control (6 papers). Pedro Espino is often cited by papers focused on Neural dynamics and brain function (14 papers), EEG and Brain-Computer Interfaces (12 papers) and Heart Rate Variability and Autonomic Control (6 papers). Pedro Espino collaborates with scholars based in Spain and United Kingdom. Pedro Espino's co-authors include Daniel Abásolo, Roberto Hornero, Jesús Poza, Javier Escudero, Daniel Álvarez, R. de la Rosa, Clara I. Sá‎nchez, Samantha Simons, Carlos Gómez and Alonso Alonso and has published in prestigious journals such as IEEE Transactions on Biomedical Engineering, Clinical Neurophysiology and Physiological Measurement.

In The Last Decade

Pedro Espino

18 papers receiving 988 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pedro Espino Spain 9 805 282 155 104 86 19 1.0k
Anahita Adeli United States 12 718 0.9× 115 0.4× 88 0.6× 162 1.6× 61 0.7× 14 1.1k
Alexandre Andrade Portugal 16 777 1.0× 224 0.8× 81 0.5× 45 0.4× 26 0.3× 43 1.1k
Fabrice Jurysta Belgium 15 516 0.6× 450 1.6× 61 0.4× 40 0.4× 63 0.7× 25 832
Kang K. L. Liu United States 8 414 0.5× 189 0.7× 98 0.6× 38 0.4× 106 1.2× 11 749
Scott Greenwald United States 18 471 0.6× 539 1.9× 63 0.4× 37 0.4× 71 0.8× 38 1.6k
Lutz Leistritz Germany 20 732 0.9× 124 0.4× 41 0.3× 106 1.0× 36 0.4× 85 1.2k
J. E. Skinner United States 16 566 0.7× 566 2.0× 152 1.0× 45 0.4× 134 1.6× 34 1.4k
Maie Bachmann Estonia 19 615 0.8× 245 0.9× 46 0.3× 88 0.8× 39 0.5× 53 1.1k
Shreya Bhat India 12 736 0.9× 235 0.8× 117 0.8× 210 2.0× 22 0.3× 21 1.3k
Elżbieta Olejarczyk Poland 14 645 0.8× 114 0.4× 81 0.5× 50 0.5× 54 0.6× 39 754

Countries citing papers authored by Pedro Espino

Since Specialization
Citations

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

Fields of papers citing papers by Pedro Espino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pedro Espino

This figure shows the co-authorship network connecting the top 25 collaborators of Pedro Espino. A scholar is included among the top collaborators of Pedro Espino 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 Pedro Espino. Pedro Espino is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Simons, Samantha, Pedro Espino, & Daniel Abásolo. (2018). Fuzzy Entropy Analysis of the Electroencephalogram in Patients with Alzheimer’s Disease: Is the Method Superior to Sample Entropy?. Entropy. 20(1). 21–21. 90 indexed citations
2.
3.
Abásolo, Daniel, Roberto Hornero, & Pedro Espino. (2009). Approximate Entropy of EEG Background Activity in Alzheimer's Disease Patients. Intelligent Automation & Soft Computing. 15(4). 591–603. 18 indexed citations
4.
Abásolo, Daniel, Roberto Hornero, Carlos Gómez, Javier Escudero, & Pedro Espino. (2009). Electroencephalogram background activity characterization with Detrended Moving Average in Alzheimer's disease patients. View. 211–215. 4 indexed citations
5.
Abásolo, Daniel, Javier Escudero, Roberto Hornero, Carlos Gómez, & Pedro Espino. (2008). Approximate entropy and auto mutual information analysis of the electroencephalogram in Alzheimer’s disease patients. Medical & Biological Engineering & Computing. 46(10). 1019–1028. 109 indexed citations
6.
Abásolo, Daniel, Roberto Hornero, Javier Escudero, & Pedro Espino. (2008). A Study on the Possible Usefulness of Detrended Fluctuation Analysis of the Electroencephalogram Background Activity in Alzheimer's Disease. IEEE Transactions on Biomedical Engineering. 55(9). 2171–2179. 53 indexed citations
7.
Abásolo, Daniel, Roberto Hornero, Pedro Espino, Javier Escudero, & Carlos Gómez. (2007). Electroencephalogram Background Activity Characterization with Approximate Entropy and Auto Mutual Information in Alzheimer's Disease Patients. Conference proceedings. 112. 6191–6194. 13 indexed citations
8.
Escudero, Javier, Daniel Abásolo, Roberto Hornero, Pedro Espino, & María López. (2007). Reply to “Comment on ‘Analysis of electroencephalograms in Alzheimer's disease patients with multiscale entropy’”. Physiological Measurement. 28(12). L3–L7. 1 indexed citations
9.
Abásolo, Daniel, Roberto Hornero, Pedro Espino, Daniel Álvarez, & Jesús Poza. (2006). Entropy analysis of the EEG background activity in Alzheimer's disease patients. Physiological Measurement. 27(3). 241–253. 263 indexed citations
10.
Escudero, Javier, et al.. (2006). Analysis of electroencephalograms in Alzheimer's disease patients with multiscale entropy. Physiological Measurement. 27(11). 1091–1106. 201 indexed citations
11.
Escudero, Javier, et al.. (2006). Electroencephalograms multiscale entropy analysis of Alzheimer's disease patients. View. 2006. 3–3. 4 indexed citations
12.
Abásolo, Daniel, Roberto Hornero, Pedro Espino, et al.. (2005). Analysis of regularity in the EEG background activity of Alzheimer's disease patients with Approximate Entropy. Clinical Neurophysiology. 116(8). 1826–1834. 205 indexed citations
13.
14.
Hornero, Roberto, Daniel Abásolo, & Pedro Espino. (2003). Use of wavelet entropy to compare the EEG background activity of epileptic patients and control subjects. View. 5–8 vol.2. 8 indexed citations
15.
Abásolo, Daniel, Roberto Hornero, Pedro Espino, Alonso Alonso, & R. de la Rosa. (2003). Electroencephalogram analysis with approximate entropy to help in the diagnosis of Alzheimer's disease. View. 266. 222–225. 6 indexed citations
16.
Hornero, Roberto, et al.. (1999). The test of Random Rhythm Generation and neuropsychological performance in schizophrenic patients. Neurology Psychiatry and Brain Research. 7(3). 137–142. 4 indexed citations
17.
Hornero, Roberto, et al.. (1999). Estimating complexity from EEG background activity of epileptic patients. IEEE Engineering in Medicine and Biology Magazine. 18(6). 73–79. 25 indexed citations
18.
Espino, Pedro. (1994). Neurogenic impotence: diagnostic value of nerve conduction studies, bulbocavernosus reflex, and heart rate variability.. PubMed. 34(6). 373–6. 6 indexed citations
19.
Arrigain, Susana, et al.. (1984). Changes in Eeg Alpha Power Induced by Repetitive Ipsi- and Contralateral Hand Movements. International Journal of Neuroscience. 24(3-4). 239–243. 2 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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