Esa Mervaala

6.7k total citations
150 papers, 5.0k citations indexed

About

Esa Mervaala is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health and Physiology. According to data from OpenAlex, Esa Mervaala has authored 150 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Cognitive Neuroscience, 46 papers in Psychiatry and Mental health and 41 papers in Physiology. Recurrent topics in Esa Mervaala's work include Epilepsy research and treatment (41 papers), Obstructive Sleep Apnea Research (35 papers) and EEG and Brain-Computer Interfaces (31 papers). Esa Mervaala is often cited by papers focused on Epilepsy research and treatment (41 papers), Obstructive Sleep Apnea Research (35 papers) and EEG and Brain-Computer Interfaces (31 papers). Esa Mervaala collaborates with scholars based in Finland, Australia and Italy. Esa Mervaala's co-authors include Reetta Kälviäinen, Juhani Partanen, Mervi Könönen, Juha Töyräs, Petro Julkunen, Taina Hukkanen, Matti Uusitupa, Pekka Tiihonen, Antti Kulkas and Leo Niskanen and has published in prestigious journals such as New England Journal of Medicine, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Esa Mervaala

148 papers receiving 4.9k citations

Peers

Esa Mervaala

PMH

PHYSI

NEURO

CMN

J. Gert van Dijk Netherlands

Federica Provini Italy

Francesco Pierelli Italy

Peter Stoeter Germany

Seung Bong Hong South Korea

Thoru Yamada United States

Robert D. Foreman United States

Massimiliano Valeriani Italy

Carles Falcón Spain

Susanne J. van Veluw United States

J. Gert van Dijk Netherlands

Esa Mervaala

2.0k ×1.2

2.1k ×1.6

PMH

900 ×0.7

PHYSI

909 ×0.8

NEURO

1.2k ×1.2

CMN

Citations per year, relative to Esa Mervaala Esa Mervaala (= 1×) peers J. Gert van Dijk

Countries citing papers authored by Esa Mervaala

Since Specialization

Citations

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

Fields of papers citing papers by Esa Mervaala

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Esa Mervaala

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

All Works

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20 of 20 papers shown

Säïsänen, Laura, Jelena Hyppönen, Katri Silvennoinen, et al.. (2023). Detecting negative myoclonus during long-term home measurements using wearables. Clinical Neurophysiology. 156. 166–174.

Leino, Akseli, Henri Korkalainen, Sami Nikkonen, et al.. (2022). Deep Learning Enables Accurate Automatic Sleep Staging Based on Ambulatory Forehead EEG. IEEE Access. 10. 26554–26566. 14 indexed citations

Miettinen, T A, Akseli Leino, Susanna Westerén-Punnonen, et al.. (2022). Self-Applied Electrode Set Provides a Clinically Feasible Solution Enabling EEG Recording in Home Sleep Apnea Testing. IEEE Access. 10. 60633–60642. 8 indexed citations

Silvennoinen, Katri, Laura Säïsänen, Jelena Hyppönen, et al.. (2022). Short‐ and long‐interval intracortical inhibition in EPM1 is related to genotype. Epilepsia. 64(1). 208–217. 8 indexed citations

Rissanen, Saara M., Jelena Hyppönen, Katri Silvennoinen, et al.. (2021). Wearable monitoring of positive and negative myoclonus in progressive myoclonic epilepsy type 1. Clinical Neurophysiology. 132(10). 2464–2472. 10 indexed citations

Leppänen, Timo, Antti Kulkas, Arie Oksenberg, et al.. (2018). Differences in arousal probability and duration after apnea and hypopnea events in adult obstructive sleep apnea patients. Physiological Measurement. 39(11). 114004–114004. 21 indexed citations

Kulkas, Antti, Timo Leppänen, Sami Nikkonen, et al.. (2018). Required CPAP usage time to normalize AHI in obstructive sleep apnea patients: a simulation study. Physiological Measurement. 39(11). 115009–115009. 6 indexed citations

Leppänen, Timo, Antti Kulkas, Arie Oksenberg, et al.. (2018). Differences in arousal probability and duration after apnea and hypopnea events in adult OSA patients. Physiological Measurement. 2 indexed citations

Leppänen, Timo, Juha Töyräs, Esa Mervaala, Thomas Penzel, & Antti Kulkas. (2017). Severity of individual obstruction events increases with age in patients with obstructive sleep apnea. Sleep Medicine. 37. 32–37. 44 indexed citations

10.

Leppänen, Timo, Antti Kulkas, Brett Duce, Esa Mervaala, & Juha Töyräs. (2016). Severity of individual obstruction events is gender dependent in sleep apnea. Sleep And Breathing. 21(2). 397–404. 32 indexed citations

11.

Leppänen, Timo, Juha Töyräs, Anu Muraja‐Murro, et al.. (2016). Length of Individual Apnea Events Is Increased by Supine Position and Modulated by Severity of Obstructive Sleep Apnea. SHILAP Revista de lepidopterología. 2016. 1–13. 31 indexed citations

12.

Muraja‐Murro, Anu, Antti Kulkas, Mikko Hiltunen, et al.. (2014). Adjustment of apnea-hypopnea index with severity of obstruction events enhances detection of sleep apnea patients with the highest risk of severe health consequences. Sleep And Breathing. 18(3). 641–647. 54 indexed citations

13.

Kulkas, Antti, et al.. (2013). Novel parameters for evaluating severity of sleep disordered breathing and for supporting diagnosis of sleep apnea-hypopnea syndrome. Journal of Medical Engineering & Technology. 37(2). 135–143. 59 indexed citations

14.

Tarkka, Ina M., Mervi Könönen, Kauko Pitkänen, Juhani Sivenius, & Esa Mervaala. (2008). Alterations in cortical excitability in chronic stroke after constraint-induced movement therapy. Neurological Research. 30(5). 504–510. 34 indexed citations

15.

Tiihonen, Pekka, Ari Pääkkönen, Esa Mervaala, Taina Hukkanen, & Juha Töyräs. (2008). Design, construction and evaluation of an ambulatory device for screening of sleep apnea. Medical & Biological Engineering & Computing. 47(1). 59–66. 11 indexed citations

16.

Lamusuo, Salla, Leena Jutila, Aarne Ylinen, et al.. (2001). [18F]FDG-PET Reveals Temporal Hypometabolism in Patients With Temporal Lobe Epilepsy Even When Quantitative MRI and Histopathological Analysis Show Only Mild Hippocampal Damage. Archives of Neurology. 58(6). 933–933. 64 indexed citations

17.

Mervaala, Esa, Jaana Föhr, Mervi Könönen, et al.. (2000). Quantitative MRI of the hippocampus and amygdala in severe depression. Psychological Medicine. 30(1). 117–125. 330 indexed citations

18.

Lamusuo, Salla, Nina Forss, Jörgen Bergman, et al.. (1999). [¹⁸F]FDG‐PET and Whole‐Scalp MEG Localization of Epileptogenic Cortex. Epilepsia. 40(7). 921–930. 40 indexed citations

19.

Lamusuo, Salla, J. O. Rinne, Hanna Ruottinen, et al.. (1994). PET in the localization of epileptic focus. Acta Neurologica Scandinavica. 89(155). 27. 1 indexed citations

20.

Soininen, Hilkka, Kari Reinikainen, Esa Mervaala, et al.. (1992). Slowing of the dominant occipital rhythm in electroencephalogram is associated with low concentration of noradrenaline in the thalamus in patients with Alzheimer's disease. Neuroscience Letters. 137(1). 5–8. 23 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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