A. Rigas

731 total citations
42 papers, 510 citations indexed

About

A. Rigas is a scholar working on Statistical and Nonlinear Physics, Applied Mathematics and Physiology. According to data from OpenAlex, A. Rigas has authored 42 papers receiving a total of 510 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Statistical and Nonlinear Physics, 7 papers in Applied Mathematics and 7 papers in Physiology. Recurrent topics in A. Rigas's work include Asthma and respiratory diseases (7 papers), Complex Systems and Time Series Analysis (6 papers) and Point processes and geometric inequalities (5 papers). A. Rigas is often cited by papers focused on Asthma and respiratory diseases (7 papers), Complex Systems and Time Series Analysis (6 papers) and Point processes and geometric inequalities (5 papers). A. Rigas collaborates with scholars based in Greece, United Kingdom and Austria. A. Rigas's co-authors include Emmanouil Paraskakis, E. T. Sarris, G. P. Pavlos, M. P. Hanias, Georgios C. Anagnostopoulos, Ioannis Spyroglou, R R Whitehead, G P Flessas, Anastasios A. Tsonis and Nick Hatzigeorgiu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Geophysical Research Atmospheres and Geophysical Research Letters.

In The Last Decade

A. Rigas

41 papers receiving 487 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
A. Rigas Greece	15	163	99	83	82	73	42	510
Jacob Levitan Israel	12	153 0.9×	64 0.6×	14 0.2×	29 0.4×	26 0.4×	53	515
Maria Kalimeri France	15	126 0.8×	172 1.7×	138 1.7×	44 0.5×	450 6.2×	20	901
Hênio Henrique Aragao Rêgo Brazil	4	432 2.7×	861 8.7×	12 0.1×	13 0.2×	197 2.7×	4	1.2k
F. Kaspar Germany	4	127 0.8×	66 0.7×	10 0.1×	13 0.2×	61 0.8×	5	542
Amir Hossein Masnadi Shirazi Canada	14	203 1.2×	184 1.9×	10 0.1×	101 1.2×	21 0.3×	46	746
Srimonti Dutta India	14	215 1.3×	377 3.8×	9 0.1×	4 0.0×	124 1.7×	42	542
Uǧur Tırnaklı Türkiye	19	849 5.2×	531 5.4×	5 0.1×	30 0.4×	52 0.7×	71	1.1k
J. A. Wanliss United States	15	88 0.5×	224 2.3×	15 0.2×	504 6.1×	427 5.8×	42	824
Massimiliano Ignaccolo United States	13	162 1.0×	134 1.4×	5 0.1×	61 0.7×	59 0.8×	33	590
Jaan Kalda Estonia	13	110 0.7×	76 0.8×	7 0.1×	10 0.1×	22 0.3×	54	501

Countries citing papers authored by A. Rigas

Since Specialization

Citations

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

Fields of papers citing papers by A. Rigas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. Rigas

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

Spyroglou, Ioannis, et al.. (2022). A Bayesian Logistic Regression approach in Asthma Persistence Prediction. SHILAP Revista de lepidopterología. 15(1). 5 indexed citations

Basta, Maria, et al.. (2019). Differential effects of earthquakes on patients with bipolar disorder versus schizophrenia: Findings from Crete, Greece, 2008–2010. Psychiatriki. 30(3). 193–203. 4 indexed citations

Spyroglou, Ioannis, Gunter Spöck, A. Rigas, & Emmanouil Paraskakis. (2018). Evaluation of Bayesian classifiers in asthma exacerbation prediction after medication discontinuation. BMC Research Notes. 11(1). 522–522. 16 indexed citations

Kitsos, Christos P., Teresa Oliveira, A. Rigas, & Sneh Gulati. (2015). Theory and Practice of Risk Assessment. Springer proceedings in mathematics & statistics. 7 indexed citations

Paraskakis, Emmanouil, et al.. (2013). An Intelligent System Approach for Asthma Prediction in Symptomatic Preschool Children. Computational and Mathematical Methods in Medicine. 2013. 1–6. 33 indexed citations

Paraskakis, Emmanouil, et al.. (2011). Predicting the long-term outcome of preschool children with asthma symptoms. 1–4. 5 indexed citations

Pavlos, G. P., A. C. Iliopoulos, L. P. Karakatsanis, et al.. (2011). Complexity in Space Plasmas: Universality of Non-Equilibrium Physical Processes. AIP conference proceedings. 77–81. 6 indexed citations

Damos, Petros, Nikos T. Papadopoulos, A. Rigas, & Matilda Savopoulou‐Soultani. (2011). Energetic loads and informational entropy during insect metamorphosis: Measuring structural variability and self-organization. Journal of Theoretical Biology. 286(1). 1–12. 7 indexed citations

Halliday, David M., J.R. Rosenberg, A. Rigas, & B. Conway. (2009). A periodogram-based test for weak stationarity and consistency between sections in time series. Journal of Neuroscience Methods. 180(1). 138–146. 7 indexed citations

10.

Rigas, A., et al.. (2007). Spectral analysis techniques of stationary point processes used for the estimation of cross-correlation: Application to the study of a neurophysiological system. European Signal Processing Conference. 2479–2483. 1 indexed citations

11.

Rigas, A., et al.. (2007). A semi-parametric approach for comparing the estimated spectra of two stationary point processes. Mathematical Biosciences. 210(2). 361–377. 1 indexed citations

12.

Pavlos, G. P., et al.. (1999). Nonlinear analysis of magnetospheric data Part I. Geometric characteristics of the AE index time series and comparison with nonlinear surrogate data. Nonlinear processes in geophysics. 6(1). 51–65. 33 indexed citations

13.

Pavlos, G. P., et al.. (1999). Comments and new results about the magnetospheric chaos hypothesis. Nonlinear processes in geophysics. 6(2). 99–127. 24 indexed citations

14.

Anagnostopoulos, Georgios C., et al.. (1998). Quasi‐periodic behavior of ion events and wave activity upstream from Jupiter's Bow Shock: Ulysses' observations. Geophysical Research Letters. 25(9). 1533–1536. 10 indexed citations

15.

Rigas, A., et al.. (1996). Spectral analysis techniques of stationary point processes: Extensions and applications to neurophysiological problems. Computers & Mathematics with Applications. 32(11). 93–99. 2 indexed citations

16.

Rigas, A.. (1996). Estimation of certain parameters of a stationary hybrid process involving a time series and a point process. Mathematical Biosciences. 133(2). 197–218. 4 indexed citations

17.

Rigas, A.. (1996). SPECTRAL ANALYSIS OF A STATIONARY BIVARIATE POINT PROCESS WITH APPLICATIONS TO NEUROPHYSIOLOGICAL PROBLEMS. Journal of Time Series Analysis. 17(2). 171–187. 8 indexed citations

18.

Pavlos, G. P., et al.. (1992). Evidence for strange attractor structures in space plasmas.. Annales Geophysicae. 10(5). 309–322. 39 indexed citations

19.

Rigas, A.. (1991). Spectra-based estimates of certain time-domain parameters of a bivariate stationary-point process. Mathematical Biosciences. 104(2). 185–201. 5 indexed citations

20.

Flessas, G P, R R Whitehead, & A. Rigas. (1983). On the αx²+ βx⁴interaction. Journal of Physics A Mathematical and General. 16(1). 85–97. 18 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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