V. Tampakas

898 total citations
16 papers, 594 citations indexed

About

V. Tampakas is a scholar working on Artificial Intelligence, Accounting and Information Systems. According to data from OpenAlex, V. Tampakas has authored 16 papers receiving a total of 594 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 6 papers in Accounting and 5 papers in Information Systems. Recurrent topics in V. Tampakas's work include Imbalanced Data Classification Techniques (6 papers), Financial Distress and Bankruptcy Prediction (6 papers) and Stock Market Forecasting Methods (3 papers). V. Tampakas is often cited by papers focused on Imbalanced Data Classification Techniques (6 papers), Financial Distress and Bankruptcy Prediction (6 papers) and Stock Market Forecasting Methods (3 papers). V. Tampakas collaborates with scholars based in Greece and Netherlands. V. Tampakas's co-authors include Sotiris Kotsiantis, Dimitris Tzelepis, Richard B. Tan, Paul G. Spirakis, Ioannis E. Livieris, Panagiotis Pintelas, Dimitris Kanellopoulos, Theodore Kotsilieris, Basilis Boutsinas and G. Kostopoulos and has published in prestigious journals such as Neural Computing and Applications, Journal of Intelligent & Fuzzy Systems and International Journal of Accounting and Information Management.

In The Last Decade

V. Tampakas

16 papers receiving 540 citations

Peers

V. Tampakas

AI

IS

ACCOU

CNC

MSOR

Thomas Verbraken Belgium

Y. Raghu Reddy India

Chuan‐Ju Wang Taiwan

Juan A. Recio-García Spain

Chihli Hung Taiwan

Eu-Gene Siew Malaysia

Jia‐Lang Seng Taiwan

Lorraine McGinty Ireland

Pritheega Magalingam Malaysia

Guillermo Jiménez-Díaz Spain

Thomas Verbraken Belgium

V. Tampakas

210 ×0.5

AI

231 ×1.4

IS

122 ×1.1

ACCOU

45 ×0.6

CNC

32 ×0.4

MSOR

Citations per year, relative to V. Tampakas V. Tampakas (= 1×) peers Thomas Verbraken

Countries citing papers authored by V. Tampakas

Since Specialization

Citations

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

Fields of papers citing papers by V. Tampakas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of V. Tampakas

This figure shows the co-authorship network connecting the top 25 collaborators of V. Tampakas. A scholar is included among the top collaborators of V. Tampakas 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 V. Tampakas. V. Tampakas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

16 of 16 papers shown

1.

Livieris, Ioannis E., V. Tampakas, Nikos Karacapilidis, & Panagiotis Pintelas. (2019). A semi-supervised self-trained two-level algorithm for forecasting students’ graduation time. Intelligent Decision Technologies. 13(3). 367–378. 4 indexed citations

2.

Livieris, Ioannis E., Theodore Kotsilieris, V. Tampakas, & Panagiotis Pintelas. (2018). Improving the evaluation process of students’ performance utilizing a decision support software. Neural Computing and Applications. 31(6). 1683–1694. 19 indexed citations

3.

Kostopoulos, G., Ioannis E. Livieris, Sotiris Kotsiantis, & V. Tampakas. (2018). CST-Voting: A semi-supervised ensemble method for classification problems. Journal of Intelligent & Fuzzy Systems. 35(1). 99–109. 10 indexed citations

4.

Kotsiantis, Sotiris & V. Tampakas. (2011). Combining heterogeneous classifiers: A recent overview. Journal of Convergence Information Technology. 6(10). 164–172. 2 indexed citations

5.

Kotsiantis, Sotiris, Dimitris Kanellopoulos, & V. Tampakas. (2010). Financial Application of Multi-Instance Learning: Two Greek Case Studies. Journal of Convergence Information Technology. 5(8). 42–53. 4 indexed citations

6.

Kotsiantis, Sotiris, et al.. (2009). An ontology-based portal for credit risk analysis. 2. 165–169. 6 indexed citations

7.

Kotsiantis, Sotiris, et al.. (2009). On Implementing an Ontology-Based Portal for Intelligent Bankruptcy Prediction. 17. 108–112. 3 indexed citations

8.

Boutsinas, Basilis, et al.. (2008). Integrating activity‐based costing with simulation and data mining. International Journal of Accounting and Information Management. 16(1). 25–35. 19 indexed citations

9.

Kotsiantis, Sotiris, et al.. (2007). Selective costing voting for bankruptcy prediction. International Journal of Knowledge-based and Intelligent Engineering Systems. 11(2). 115–127. 7 indexed citations

10.

Kotsiantis, Sotiris, et al.. (2007). Forecasting Fraudulent Financial Statements Using Data Mining. Zenodo (CERN European Organization for Nuclear Research). 125 indexed citations

11.

Kanellopoulos, Dimitris, Sotiris Kotsiantis, & V. Tampakas. (2007). Towards an ontology-based system for intelligent prediction of firms with fraudulent financial statements. 16. 1300–1307. 3 indexed citations

12.

Kotsiantis, Sotiris, Dimitris Kanellopoulos, & V. Tampakas. (2006). On Implementing a Financial Decision Support System. 4 indexed citations

13.

Kotsiantis, Sotiris, et al.. (2005). Text classification: a recent overview. Annual Conference on Computers. 2017. 125–6804853. 9 indexed citations

14.

Kotsiantis, Sotiris, et al.. (2005). Text Classification Using Machine Learning Techniques. 315 indexed citations

15.

Spirakis, Paul G., et al.. (1999). Fundamental control algorithms in mobile networks. 251–260. 62 indexed citations

16.

Spirakis, Paul G., et al.. (1999). Fundamental distributed protocols in mobile networks. 274–274. 2 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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