A. Papandreou

604 total citations
24 papers, 398 citations indexed

About

A. Papandreou is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Signal Processing. According to data from OpenAlex, A. Papandreou has authored 24 papers receiving a total of 398 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 11 papers in Control and Systems Engineering and 6 papers in Signal Processing. Recurrent topics in A. Papandreou's work include Machine Fault Diagnosis Techniques (11 papers), Handwritten Text Recognition Techniques (10 papers) and Image and Signal Denoising Methods (6 papers). A. Papandreou is often cited by papers focused on Machine Fault Diagnosis Techniques (11 papers), Handwritten Text Recognition Techniques (10 papers) and Image and Signal Denoising Methods (6 papers). A. Papandreou collaborates with scholars based in United States, Greece and Austria. A. Papandreou's co-authors include G.F. Boudreaux-Bartels, Basilis Gatos, Franz Hlawatsch, Georgios Louloudis, Nikolaos Stamatopoulos, Steven Kay, Georgios C. Anagnostopoulos, Stavros Perantonis, Venkatraman Atti and Lina J. Karam and has published in prestigious journals such as IEEE Transactions on Signal Processing, Journal of Media Literacy Education and Pattern Recognition Letters.

In The Last Decade

A. Papandreou

24 papers receiving 375 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A. Papandreou United States 13 244 133 103 77 56 24 398
J.-H. Lin United States 6 365 1.5× 31 0.2× 148 1.4× 125 1.6× 46 0.8× 12 510
A. Moghaddamjoo United States 11 72 0.3× 69 0.5× 108 1.0× 96 1.2× 15 0.3× 33 391
J. Schroeder United States 8 64 0.3× 49 0.4× 133 1.3× 56 0.7× 24 0.4× 54 309
V.K. Aatre Canada 7 128 0.5× 33 0.2× 74 0.7× 53 0.7× 31 0.6× 24 309
Goran Marjanovic Australia 9 96 0.4× 19 0.1× 75 0.7× 59 0.8× 18 0.3× 19 319
Olcay Akay Türkiye 8 153 0.6× 28 0.2× 111 1.1× 37 0.5× 11 0.2× 27 335
N. Magotra United States 9 164 0.7× 25 0.2× 135 1.3× 202 2.6× 14 0.3× 63 479
X.-G. Xia United States 9 209 0.9× 29 0.2× 103 1.0× 37 0.5× 6 0.1× 26 411
Roger L. Claypoole United States 11 397 1.6× 55 0.4× 111 1.1× 35 0.5× 6 0.1× 22 527
M. Novey United States 8 76 0.3× 43 0.3× 393 3.8× 150 1.9× 12 0.2× 11 551

Countries citing papers authored by A. Papandreou

Since Specialization
Citations

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

Fields of papers citing papers by A. Papandreou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of A. Papandreou. A scholar is included among the top collaborators of A. Papandreou 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. Papandreou. A. Papandreou 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.
Papandreou, A., Tetsu Hara, & Isaac Ginis. (2025). Impacts of Wave‐Current Interaction in Coupled Storm Surge‐Wave Model. Journal of Geophysical Research Oceans. 130(1). 2 indexed citations
2.
Papandreou, A., Basilis Gatos, & Konstantinos Zagoris. (2016). An Adaptive Zoning Technique for Word Spotting Using Dynamic Time Warping. 9. 387–392. 4 indexed citations
3.
Papandreou, A., Basilis Gatos, & Georgios Louloudis. (2014). An adaptive zoning technique for efficient word retrieval using dynamic time warping. 147–152. 7 indexed citations
4.
Papandreou, A., Basilis Gatos, Georgios Louloudis, & Nikolaos Stamatopoulos. (2013). ICDAR 2013 Document Image Skew Estimation Contest (DISEC 2013). Zenodo (CERN European Organization for Nuclear Research). 15 indexed citations
5.
Papandreou, A. & Basilis Gatos. (2013). A Coarse to Fine Skew Estimation Technique for Handwritten Words. 225–229. 3 indexed citations
6.
Anagnostopoulos, Georgios C. & A. Papandreou. (2012). Space conditions during a month of a sequence of six <i>M</i> > 6.8 earthquakes ending with the tsunami of 26 December 2004. Natural hazards and earth system sciences. 12(5). 1551–1559. 11 indexed citations
7.
Papandreou, A. & Basilis Gatos. (2012). Word Slant Estimation Using Non-horizontal Character Parts and Core-Region Information. 19. 307–311. 7 indexed citations
8.
Papandreou, A. & Basilis Gatos. (2012). Slant estimation and core-region detection for handwritten Latin words. Pattern Recognition Letters. 35. 16–22. 15 indexed citations
9.
Gatos, Basilis, et al.. (2011). Adaptive Zoning Features for Character and Word Recognition. Zenodo (CERN European Organization for Nuclear Research). 1160–1164. 19 indexed citations
10.
Spanias, Andreas, Venkatraman Atti, Tolga M. Duman, et al.. (2005). On-line laboratories for speech and image processing and for communication systems using J-DSP. 174–179. 14 indexed citations
11.
Papandreou, A., Franz Hlawatsch, & G.F. Boudreaux-Bartels. (2003). Quadratic time-frequency distributions: the new hyperbolic class and its intersection with the affine class. Journal of Media Literacy Education. 26–29. 1 indexed citations
12.
Hlawatsch, Franz, A. Papandreou, & G.F. Boudreaux-Bartels. (2002). The power classes of quadratic time-frequency representations: a generalization of the affine and hyperbolic classes. 1265–1270. 17 indexed citations
13.
Papandreou, A., Steven Kay, & G.F. Boudreaux-Bartels. (2002). The use of hyperbolic time-frequency representations for optimum detection and parameter estimation of hyperbolic chirps. 369–372. 12 indexed citations
14.
Boudreaux-Bartels, G.F. & A. Papandreou. (2002). On a generalization of the Choi-Williams time-frequency distribution. 35. 364–369. 2 indexed citations
15.
16.
Papandreou, A., G.F. Boudreaux-Bartels, & Steven Kay. (2002). Detection and estimation of generalized chirps using time-frequency representations. Journal of Media Literacy Education. 1. 50–54. 12 indexed citations
17.
Hlawatsch, Franz, A. Papandreou, & G.F. Boudreaux-Bartels. (1993). Regularity and unitarity of affine and hyperbolic time-frequency representations. IEEE International Conference on Acoustics Speech and Signal Processing. 245–248 vol.3. 12 indexed citations
18.
Papandreou, A., et al.. (1993). Generalization of the Choi-Williams Distribution and the Butterworth Distribution for Time-Frequency Analysis. IEEE Transactions on Signal Processing. 41(1). 463–463. 38 indexed citations
19.
Papandreou, A., Franz Hlawatsch, & G.F. Boudreaux-Bartels. (1993). The hyperbolic class of quadratic time-frequency representations. I. Constant-Q warping, the hyperbolic paradigm, properties, and members. IEEE Transactions on Signal Processing. 41(12). 3425–3444. 88 indexed citations
20.
Papandreou, A. & G.F. Boudreaux-Bartels. (1992). Distributions for time-frequency analysis: a generalization of Choi-Williams and the Butterworth distribution. Journal of Media Literacy Education. 181–184 vol.5. 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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