Dimitris K. Tasoulis

2.3k total citations
53 papers, 1.5k citations indexed

About

Dimitris K. Tasoulis is a scholar working on Artificial Intelligence, Signal Processing and Management Science and Operations Research. According to data from OpenAlex, Dimitris K. Tasoulis has authored 53 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Artificial Intelligence, 14 papers in Signal Processing and 9 papers in Management Science and Operations Research. Recurrent topics in Dimitris K. Tasoulis's work include Advanced Clustering Algorithms Research (10 papers), Neural Networks and Applications (8 papers) and Metaheuristic Optimization Algorithms Research (8 papers). Dimitris K. Tasoulis is often cited by papers focused on Advanced Clustering Algorithms Research (10 papers), Neural Networks and Applications (8 papers) and Metaheuristic Optimization Algorithms Research (8 papers). Dimitris K. Tasoulis collaborates with scholars based in Greece, United Kingdom and France. Dimitris K. Tasoulis's co-authors include Michael N. Vrahatis, Vassilis P. Plagianakos, Nicos G. Pavlidis, Niall M. Adams, Gordon J. Ross, David J. Hand, Michael G. Epitropakis, Konstantinos E. Parsopoulos, Sotiris K. Tasoulis and Todor Ganchev and has published in prestigious journals such as Technometrics, Pattern Recognition and Journal of the Operational Research Society.

In The Last Decade

Dimitris K. Tasoulis

51 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dimitris K. Tasoulis Greece 17 1.1k 409 172 144 143 53 1.5k
Brad L. Miller United States 7 786 0.7× 405 1.0× 61 0.4× 100 0.7× 145 1.0× 7 1.5k
Pavel Brazdil Portugal 19 1.5k 1.4× 243 0.6× 124 0.7× 145 1.0× 100 0.7× 67 2.0k
Lam Thu Bui Vietnam 17 556 0.5× 418 1.0× 55 0.3× 119 0.8× 119 0.8× 69 1.1k
Gunar E. Liepins United States 17 750 0.7× 338 0.8× 121 0.7× 123 0.9× 292 2.0× 28 1.3k
Cezary Z. Janikow United States 16 1.2k 1.1× 538 1.3× 68 0.4× 138 1.0× 116 0.8× 44 1.9k
Abraham Duarte Spain 27 612 0.6× 476 1.2× 68 0.4× 184 1.3× 352 2.5× 119 2.1k
Nicos G. Pavlidis United Kingdom 13 661 0.6× 361 0.9× 59 0.3× 108 0.8× 50 0.3× 43 952
Feng Jiang China 18 755 0.7× 311 0.8× 119 0.7× 66 0.5× 163 1.1× 82 1.2k
Byung-Ro Moon South Korea 17 869 0.8× 349 0.9× 141 0.8× 193 1.3× 190 1.3× 75 1.6k
Ruichu Cai China 21 791 0.7× 154 0.4× 162 0.9× 161 1.1× 218 1.5× 135 1.5k

Countries citing papers authored by Dimitris K. Tasoulis

Since Specialization
Citations

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

Fields of papers citing papers by Dimitris K. Tasoulis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dimitris K. Tasoulis. 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 Dimitris K. Tasoulis. The network helps show where Dimitris K. Tasoulis may publish in the future.

Co-authorship network of co-authors of Dimitris K. Tasoulis

This figure shows the co-authorship network connecting the top 25 collaborators of Dimitris K. Tasoulis. A scholar is included among the top collaborators of Dimitris K. Tasoulis 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 Dimitris K. Tasoulis. Dimitris K. Tasoulis 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.
Tasoulis, Sotiris K., et al.. (2023). HiPart: Hierarchical Divisive ClusteringToolbox. The Journal of Open Source Software. 8(84). 5024–5024. 1 indexed citations
2.
Pavlidis, Nicos G., Dimitris K. Tasoulis, Niall M. Adams, & David J. Hand. (2012). Adaptive consumer credit classification. Journal of the Operational Research Society. 63(12). 1645–1654. 19 indexed citations
3.
Ross, Gordon J., Dimitris K. Tasoulis, & Niall M. Adams. (2011). Nonparametric Monitoring of Data Streams for Changes in Location and Scale. Technometrics. 53(4). 379–389. 147 indexed citations
4.
Tasoulis, Dimitris K., Niall M. Adams, & David J. Hand. (2009). Selective fusion of out-of-sequence measurements. Information Fusion. 11(2). 183–191. 15 indexed citations
5.
Pavlidis, Nicos G., Dimitris K. Tasoulis, Niall M. Adams, & David J. Hand. (2008). Dynamic Multi-Armed Bandit with Covariates. Lancaster EPrints (Lancaster University). 777–778. 2 indexed citations
6.
Pavlidis, Nicos G., Dimitris K. Tasoulis, & David J. Hand. (2008). Simulation studies of multi-armed bandits with covariates. Lancaster EPrints (Lancaster University). 6 indexed citations
7.
Laskari, E.C., et al.. (2007). Assessing the effectiveness of artificial neural networks on problems related to elliptic curve cryptography. Mathematical and Computer Modelling. 46(1-2). 174–179.
8.
Tasoulis, Dimitris K. & Michael N. Vrahatis. (2007). Generalizing thek-Windows clustering algorithm in metric spaces. Mathematical and Computer Modelling. 46(1-2). 268–277. 7 indexed citations
9.
Tasoulis, Dimitris K., Panagiota Spyridonos, Nicos G. Pavlidis, et al.. (2006). Cell-nuclear data reduction and prognostic model selection in bladder tumor recurrence. Artificial Intelligence in Medicine. 38(3). 291–303. 4 indexed citations
10.
Mourrain, Bernard, Nicos G. Pavlidis, Dimitris K. Tasoulis, & Michael N. Vrahatis. (2006). Determining the number of real roots of polynomials through neural networks. Computers & Mathematics with Applications. 51(3-4). 527–536. 6 indexed citations
11.
Pavlidis, Nicos G., Vassilis P. Plagianakos, Dimitris K. Tasoulis, & M.N. Vrahatis. (2006). Financial forecasting through unsupervised clustering and neural networks. Operational Research. 6(2). 103–127. 27 indexed citations
12.
Ganchev, Todor, Dimitris K. Tasoulis, Michael N. Vrahatis, & Nikos Fakotakis. (2006). Generalized locally recurrent probabilistic neural networks with application to text-independent speaker verification. Neurocomputing. 70(7-9). 1424–1438. 18 indexed citations
13.
Plagianakos, Vassilis P., Dimitris K. Tasoulis, & Michael N. Vrahatis. (2006). Computational intelligence techniques for acute leukemia gene expression data classification. Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005.. 4. 2469–2474. 2 indexed citations
14.
Boutsinas, Basilis, Dimitris K. Tasoulis, & Michael N. Vrahatis. (2006). Estimating the number of clusters using a windowing technique. Pattern Recognition and Image Analysis. 16(2). 143–154. 10 indexed citations
15.
Pavlidis, Nicos G., Dimitris K. Tasoulis, & Michael N. Vrahatis. (2005). Time Series Forecasting Methodology for Multiple-Step-Ahead Prediction.. Lancaster EPrints (Lancaster University). 456–461. 6 indexed citations
16.
Tasoulis, Dimitris K., Vassilis P. Plagianakos, & Michael N. Vrahatis. (2005). Unsupervised clustering in mRNA expression profiles. Computers in Biology and Medicine. 36(10). 1126–1142. 12 indexed citations
17.
Tasoulis, Dimitris K. & Michael N. Vrahatis. (2004). Unsupervised distributed clustering.. 347–351. 28 indexed citations
18.
Tasoulis, Dimitris K., Vassilis P. Plagianakos, & Michael N. Vrahatis. (2004). Unsupervised Clustering of Bioinformatics Data. 12 indexed citations
19.
Ganchev, Todor, Dimitris K. Tasoulis, Michael N. Vrahatis, & Nikos Fakotakis. (2003). Locally recurrent probabilistic neural network for text-independent speaker verification. 1673–1676. 12 indexed citations
20.
Boutsinas, Basilis, et al.. (2003). Improving the orthogonal range search k-windows algorithm. 1. 239–245. 15 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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