George Rigas

3.2k total citations
98 papers, 1.8k citations indexed

About

George Rigas is a scholar working on Neurology, Surgery and Biomedical Engineering. According to data from OpenAlex, George Rigas has authored 98 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Neurology, 24 papers in Surgery and 21 papers in Biomedical Engineering. Recurrent topics in George Rigas's work include Parkinson's Disease Mechanisms and Treatments (27 papers), Coronary Interventions and Diagnostics (21 papers) and Neurological disorders and treatments (18 papers). George Rigas is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (27 papers), Coronary Interventions and Diagnostics (21 papers) and Neurological disorders and treatments (18 papers). George Rigas collaborates with scholars based in Greece, Italy and United Kingdom. George Rigas's co-authors include Dimitrios I. Fotiadis, Alexandros T. Tzallas, Markos G. Tsipouras, Yorgos Goletsis, Panagiota Bougia, Sofia Tsouli, Spiros Konitsiotis, Spyridon Konitsiotis, Evanthia E. Tripoliti and Maria Chondrogiorgi and has published in prestigious journals such as SHILAP Revista de lepidopterología, British Journal of Cancer and Sensors.

In The Last Decade

George Rigas

93 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
George Rigas Greece	23	627	537	253	231	201	98	1.8k
João Paulo Silva Cunha Portugal	28	265 0.4×	791 1.5×	173 0.7×	428 1.9×	183 0.9×	177	2.9k
Shyamal Patel United States	22	418 0.7×	1.6k 2.9×	142 0.6×	182 0.8×	69 0.3×	63	3.2k
Pieter Kubben Netherlands	23	452 0.7×	262 0.5×	93 0.4×	154 0.7×	49 0.2×	81	2.1k
Michael H. Cole Australia	33	969 1.5×	640 1.2×	237 0.9×	57 0.2×	44 0.2×	95	3.7k
Friedrich Foerster Germany	27	69 0.1×	365 0.7×	272 1.1×	162 0.7×	167 0.8×	75	2.8k
Evanthia E. Tripoliti Greece	16	236 0.4×	233 0.4×	31 0.1×	181 0.8×	85 0.4×	53	1.2k
Salvatore Tedesco Ireland	20	155 0.2×	443 0.8×	100 0.4×	77 0.3×	33 0.2×	123	1.7k
Dan Jackson United Kingdom	24	189 0.3×	246 0.5×	94 0.4×	97 0.4×	198 1.0×	77	3.0k
Reza Fazel-Rezai United States	25	106 0.2×	495 0.9×	157 0.6×	342 1.5×	62 0.3×	108	2.2k
Nils Hammerla United Kingdom	21	177 0.3×	312 0.6×	52 0.2×	101 0.4×	151 0.8×	33	2.3k

Countries citing papers authored by George Rigas

Since Specialization

Citations

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

Fields of papers citing papers by George Rigas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of George Rigas

This figure shows the co-authorship network connecting the top 25 collaborators of George Rigas. A scholar is included among the top collaborators of George Rigas 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 George Rigas. George Rigas 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

Monje, Mariana H.G., Sylvie Grosjean, Raquel Bouça‐Machado, et al.. (2025). Insights From a Mixed Methods Analysis of 3 Health Technologies Used in Patients With Parkinson Disease: Mixed Methods Study. Journal of Medical Internet Research. 27. e67986–e67986.

Borovykh, Anastasia, et al.. (2025). Reinforcement Learning of Chaotic Systems Control in Partially Observable Environments. Flow Turbulence and Combustion. 115(3). 1357–1378. 1 indexed citations

Konitsiotis, Spyridon, Athanasia Alexoudi, Panagiotis Zikos, et al.. (2024). Paradigm shift in Parkinson's disease: using continuous telemonitoring to improve symptoms control. Results from a 2-years journey. Frontiers in Neurology. 15. 1415970–1415970. 2 indexed citations

Panourgias, Evangelia, Charis Bourgioti, Vassilis Koutoulidis, et al.. (2024). Accuracy of distinguishing benign, high-risk lesions and malignancies with inductive machine learning models in BIRADS 4 and BIRADS 5 lesions on breast MR examinations. European Journal of Radiology. 181. 111801–111801.

Antonini, Angelo, Heinz Reichmann, Giovanni Gentile, et al.. (2023). Toward objective monitoring of Parkinson's disease motor symptoms using a wearable device: wearability and performance evaluation of PDMonitor®. Frontiers in Neurology. 14. 1080752–1080752. 33 indexed citations

Tsiknakis, Nikos, Georgia S. Karanasiou, Antonis I. Sakellarios, et al.. (2022). OCT sequence registration before and after percutaneous coronary intervention (stent implantation). Biomedical Signal Processing and Control. 79. 104251–104251. 2 indexed citations

Rigas, George. (2021). Control of Partially Observable Flows with Model-Free Reinforcement Learning. Bulletin of the American Physical Society. 1 indexed citations

Sakellarios, Antonis I., George Rigas, Georgia S. Karanasiou, et al.. (2021). A Novel Approach to Generate a Virtual Population of Human Coronary Arteries for In Silico Clinical Trials of Stent Design. IEEE Open Journal of Engineering in Medicine and Biology. 2. 201–209. 8 indexed citations

Tsiknakis, Nikos, Georgia S. Karanasiou, Antonis I. Sakellarios, et al.. (2021). IVUS Longitudinal and Axial Registration for Atherosclerosis Progression Evaluation. Diagnostics. 11(8). 1513–1513. 3 indexed citations

10.

Tsamis, Konstantinos I., et al.. (2021). Accurate Monitoring of Parkinson’s Disease Symptoms With a Wearable Device During COVID-19 Pandemic. In Vivo. 35(4). 2327–2330. 14 indexed citations

11.

Siogkas, Panagiotis K., Λάμπρος Λάκκας, Antonis I. Sakellarios, et al.. (2021). SmartFFR, a New Functional Index of Coronary Stenosis: Comparison With Invasive FFR Data. Frontiers in Cardiovascular Medicine. 8. 714471–714471. 9 indexed citations

12.

Gatsios, Dimitrios, Angelo Antonini, Giovanni Gentile, et al.. (2020). Mhealth for remote monitoring and management of Parkinson’s disease: determinants of compliance and validation of a tremor evaluation method. JMIR mhealth and uhealth. 2 indexed citations

13.

Κούρου, Κωνσταντίνα, et al.. (2019). Cancer classification from time series microarray data through regulatory Dynamic Bayesian Networks. Computers in Biology and Medicine. 116. 103577–103577. 33 indexed citations

14.

Mavroudis, Dimitriοs, Emmanouil Saloustros, Ioannis Boukovinas, et al.. (2017). Sequential vs concurrent epirubicin and docetaxel as adjuvant chemotherapy for high-risk, node-negative, early breast cancer: an interim analysis of a randomised phase III study from the Hellenic Oncology Research Group. British Journal of Cancer. 117(2). 164–170. 8 indexed citations

15.

Tsiouris, Κostas Μ., Dimitrios Gatsios, George Rigas, et al.. (2017). PD_Manager: an mHealth platform for Parkinson's disease patient management. Healthcare Technology Letters. 4(3). 102–108. 48 indexed citations

16.

Athanasiou, Lambros S., George Rigas, Antonis I. Sakellarios, et al.. (2016). Three-dimensional reconstruction of coronary arteries and plaque morphology using CT angiography – comparison and registration with IVUS. BMC Medical Imaging. 16(1). 9–9. 27 indexed citations

17.

Tzallas, Alexandros T., Nikolaos Katertsidis, Evaggelos Karvounis, et al.. (2014). Modeling and simulation of speed selection on left ventricular assist devices. Computers in Biology and Medicine. 51. 128–139. 12 indexed citations

18.

Exarchos, Konstantinos, Themis P. Exarchos, George Rigas, Costas Papaloukas, & Dimitrios I. Fotiadis. (2011). Extraction of consensus protein patterns in regions containing non-proline cis peptide bonds and their functional assessment. BMC Bioinformatics. 12(1). 142–142. 8 indexed citations

19.

Rigas, George, Alexandros T. Tzallas, Dimitrios Tsalikakis, Spiros Konitsiotis, & Dimitrios I. Fotiadis. (2009). Real-time quantification of resting tremor in the Parkinson's disease. PubMed. 41. 1306–1309. 29 indexed citations

20.

Persson, Mats & George Rigas. (2007). A measure of situation apprehension, outcome prediction and performance in one microworld. KTH Publication Database DiVA (KTH Royal Institute of Technology). 58. 1 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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