Richard Cimler

943 total citations
42 papers, 499 citations indexed

About

Richard Cimler is a scholar working on Biomedical Engineering, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Richard Cimler has authored 42 papers receiving a total of 499 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Biomedical Engineering, 8 papers in Artificial Intelligence and 7 papers in Signal Processing. Recurrent topics in Richard Cimler's work include Non-Invasive Vital Sign Monitoring (6 papers), Context-Aware Activity Recognition Systems (4 papers) and Anomaly Detection Techniques and Applications (4 papers). Richard Cimler is often cited by papers focused on Non-Invasive Vital Sign Monitoring (6 papers), Context-Aware Activity Recognition Systems (4 papers) and Anomaly Detection Techniques and Applications (4 papers). Richard Cimler collaborates with scholars based in Czechia, Japan and Spain. Richard Cimler's co-authors include Kamil Kuča, Hamido Fujita, Dalibor Cimr, Hana Tomášková, Petra Marešová, Toshitaka Hayashi, Ján Vaščák, Ali Selamat, Martin Gavalec and Ondřej Doležal and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Science of The Total Environment.

In The Last Decade

Richard Cimler

36 papers receiving 483 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Richard Cimler Czechia 13 89 61 61 60 58 42 499
Ke Yu China 15 170 1.9× 68 1.1× 57 0.9× 105 1.8× 55 0.9× 91 829
Seung Min Park South Korea 17 106 1.2× 113 1.9× 45 0.7× 30 0.5× 98 1.7× 146 1.1k
Aftab Ali Saudi Arabia 18 67 0.8× 177 2.9× 39 0.6× 31 0.5× 56 1.0× 59 824
Bassem Bouaziz Tunisia 13 51 0.6× 41 0.7× 56 0.9× 72 1.2× 16 0.3× 39 773
Mark Kliger Israel 11 84 0.9× 40 0.7× 62 1.0× 66 1.1× 103 1.8× 23 558
Samantha Kleinberg United States 14 218 2.4× 80 1.3× 44 0.7× 62 1.0× 37 0.6× 60 821
Zhong Zhang China 14 97 1.1× 21 0.3× 51 0.8× 57 0.9× 165 2.8× 34 573
Shih‐Hao Wang Taiwan 21 23 0.3× 66 1.1× 78 1.3× 58 1.0× 65 1.1× 67 1.5k
Muhammad Zahid Khan Pakistan 22 125 1.4× 199 3.3× 96 1.6× 39 0.7× 21 0.4× 62 1.4k
R Archana India 14 47 0.5× 21 0.3× 61 1.0× 61 1.0× 51 0.9× 92 837

Countries citing papers authored by Richard Cimler

Since Specialization
Citations

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

Fields of papers citing papers by Richard Cimler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Richard Cimler

This figure shows the co-authorship network connecting the top 25 collaborators of Richard Cimler. A scholar is included among the top collaborators of Richard Cimler 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 Richard Cimler. Richard Cimler 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.
Kumar, Harsh, Richard Cimler, Ashok Kumar Pathera, et al.. (2025). Enhancing meat safety and quality: Innovations in protein-based sensing technologies for contaminant detection. Food Control. 173. 111208–111208.
2.
Cimr, Dalibor, et al.. (2025). Computer-aided detection systems based on ballistocardiography signals: A review. Engineering Applications of Artificial Intelligence. 151. 110669–110669.
3.
4.
Cardon, Greet, Delfien Van Dyck, Richard Cimler, et al.. (2025). Ecological momentary assessment of physical and eating behaviours: The WEALTH feasibility and optimisation study with recommendations for large-scale data collection. PLoS ONE. 20(2). e0318772–e0318772. 3 indexed citations
5.
Hayashi, Toshitaka, Dalibor Cimr, Hamido Fujita, & Richard Cimler. (2024). Interpretable synthetic signals for explainable one-class time-series classification. Engineering Applications of Artificial Intelligence. 131. 107716–107716. 7 indexed citations
6.
Kumar, Harsh, Rajni Dhalaria, Richard Cimler, et al.. (2024). Immunosensors in food, health, environment, and agriculture: a review. Environmental Chemistry Letters. 22(5). 2573–2605. 25 indexed citations
7.
Sinha, Priyank, Richard Cimler, Radovan Hudák, et al.. (2024). Concept and Evolution in 3D Printing for Excellence in Healthcare. Current Medicinal Chemistry. 32(5). 831–879. 4 indexed citations
8.
Kumar, Harsh, Richard Cimler, Daljeet Singh Dhanjal, et al.. (2024). Valorization of non-edible fruit seeds into valuable products: A sustainable approach towards circular bioeconomy. The Science of The Total Environment. 922. 171142–171142. 14 indexed citations
9.
Hayashi, Toshitaka, et al.. (2023). Patient deterioration detection using one-class classification via cluster period estimation subtask. Information Sciences. 657. 119975–119975. 4 indexed citations
10.
Hayashi, Toshitaka, Dalibor Cimr, Hamido Fujita, & Richard Cimler. (2023). Image entropy equalization: A novel preprocessing technique for image recognition tasks. Information Sciences. 647. 119539–119539. 12 indexed citations
11.
Cimr, Dalibor, et al.. (2023). Classification of health deterioration by geometric invariants. Computer Methods and Programs in Biomedicine. 239. 107623–107623. 6 indexed citations
12.
Hayashi, Toshitaka, et al.. (2023). Distance-based one-class time-series classification approach using local cluster balance. Expert Systems with Applications. 235. 121201–121201. 14 indexed citations
13.
Cimr, Dalibor, et al.. (2023). Enhancing EEG signal analysis with geometry invariants for multichannel fusion. Information Fusion. 102. 102023–102023. 6 indexed citations
14.
Kumar, Harsh, Rajni Dhalaria, Ruchi Sharma, et al.. (2023). Non-edible fruit seeds: nutritional profile, clinical aspects, and enrichment in functional foods and feeds. Critical Reviews in Food Science and Nutrition. 64(33). 13298–13317. 10 indexed citations
15.
Cimr, Dalibor, Hamido Fujita, Hana Tomášková, Richard Cimler, & Ali Selamat. (2022). Automatic seizure detection by convolutional neural networks with computational complexity analysis. Computer Methods and Programs in Biomedicine. 229. 107277–107277. 33 indexed citations
16.
Cimr, Dalibor, et al.. (2021). Application of mechanical trigger for unobtrusive detection of respiratory disorders from body recoil micro-movements. Computer Methods and Programs in Biomedicine. 207. 106149–106149. 14 indexed citations
17.
Marešová, Petra, Lenka Komárková, Richard Cimler, et al.. (2020). Anticipated Social and Healthcare Economic Burden of People with Alzheimer’s Disease in Two Selected Regions of the Czech Republic. Healthcare. 8(4). 433–433. 2 indexed citations
18.
Cimr, Dalibor, et al.. (2020). Computer aided detection of breathing disorder from ballistocardiography signal using convolutional neural network. Information Sciences. 541. 207–217. 23 indexed citations
19.
Větrovský, Tomáš, Richard Cimler, Václav Bunc, et al.. (2020). The Detrimental Effect of COVID-19 Nationwide Quarantine on Accelerometer-Assessed Physical Activity of Heart Failure Patients. ESC Heart Failure. 7(5). 2093–2097. 48 indexed citations
20.
Tomášková, Hana, et al.. (2016). Prediction of population with Alzheimer's disease in the European Union using a system dynamics model. SHILAP Revista de lepidopterología. 3 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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