Juha Pärkkä

80 total papers · 3.4k total citations
42 papers, 2.4k citations indexed

About

Juha Pärkkä is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Juha Pärkkä has authored 42 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 15 papers in Biomedical Engineering and 9 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Juha Pärkkä's work include Context-Aware Activity Recognition Systems (15 papers), Non-Invasive Vital Sign Monitoring (13 papers) and Heart Rate Variability and Autonomic Control (7 papers). Juha Pärkkä is often cited by papers focused on Context-Aware Activity Recognition Systems (15 papers), Non-Invasive Vital Sign Monitoring (13 papers) and Heart Rate Variability and Autonomic Control (7 papers). Juha Pärkkä collaborates with scholars based in Finland, Netherlands and Greece. Juha Pärkkä's co-authors include Ilkka Korhonen, Miíkka Ermes, Jani Mäntyjärvi, Mark van Gils, Panu Korpipää, Johannes Peltola, Luc Cluitmans, Raimo Lappalainen, Elina Mattila and Juha M. Kortelainen and has published in prestigious journals such as BMC Public Health, Environmental Research and Journal of Alzheimer s Disease.

In The Last Decade

Juha Pärkkä

40 papers receiving 2.2k citations

Hit Papers

Activity Classification U... 2006 2026 2012 2019 2006 2008 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Juha Pärkkä 1.1k 859 376 318 279 42 2.4k
Miíkka Ermes 927 0.8× 585 0.7× 246 0.7× 260 0.8× 166 0.6× 39 2.1k
Nabil Alshurafa 601 0.5× 644 0.7× 201 0.5× 326 1.0× 191 0.7× 97 1.9k
Oresti Baños 1.1k 1.0× 621 0.7× 407 1.1× 173 0.5× 287 1.0× 73 2.4k
Shyamal Patel 575 0.5× 1.5k 1.8× 390 1.0× 136 0.4× 450 1.6× 63 3.1k
M. Mathie 1.4k 1.2× 1.2k 1.4× 332 0.9× 123 0.4× 268 1.0× 12 2.3k
Louis Atallah 760 0.7× 756 0.9× 240 0.6× 82 0.3× 157 0.6× 64 1.9k
Attila Reiss 1.2k 1.1× 867 1.0× 345 0.9× 100 0.3× 216 0.8× 32 2.7k
Nuno M. García 586 0.5× 448 0.5× 604 1.6× 182 0.6× 326 1.2× 164 2.4k
Hassan Ghasemzadeh 1.3k 1.2× 1.1k 1.3× 811 2.2× 200 0.6× 424 1.5× 177 3.2k
Alexandros Pantelopoulos 499 0.4× 1.2k 1.4× 503 1.3× 131 0.4× 360 1.3× 23 2.4k

Countries citing papers authored by Juha Pärkkä

Since Specialization
Citations

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

Fields of papers citing papers by Juha Pärkkä

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Juha Pärkkä

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

All Works

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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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