Tony Van Gestel

9.8k total citations · 4 hit papers
55 papers, 7.4k citations indexed

About

Tony Van Gestel is a scholar working on Artificial Intelligence, Accounting and Finance. According to data from OpenAlex, Tony Van Gestel has authored 55 papers receiving a total of 7.4k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 18 papers in Accounting and 12 papers in Finance. Recurrent topics in Tony Van Gestel's work include Financial Distress and Bankruptcy Prediction (18 papers), Imbalanced Data Classification Techniques (14 papers) and Credit Risk and Financial Regulations (12 papers). Tony Van Gestel is often cited by papers focused on Financial Distress and Bankruptcy Prediction (18 papers), Imbalanced Data Classification Techniques (14 papers) and Credit Risk and Financial Regulations (12 papers). Tony Van Gestel collaborates with scholars based in Belgium, United Kingdom and Switzerland. Tony Van Gestel's co-authors include Johan A. K. Suykens, Bart De Moor, Joos Vandewalle, Jos De Brabanter, Bart Baesens, Jan Vanthienen, Stijn Viaene, David Martens, Gert Lanckriet and Adriaan Lambrechts and has published in prestigious journals such as IEEE Transactions on Automatic Control, European Journal of Operational Research and Expert Systems with Applications.

In The Last Decade

Tony Van Gestel

54 papers receiving 6.9k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Least Squares Support Vector Machines

2002 2.9k citations Johan A. K. Suykens, Tony Van Gestel et al. profile →
Least Squares Support Vector Machines

2002 904 citations Johan A. K. Suykens, Tony Van Gestel et al. profile →
Benchmarking state-of-the-art classification algorithms for credit scoring

2003 616 citations Bart Baesens, Tony Van Gestel et al. Journal of the Operational Research Society profile →
Benchmarking Least Squares Support Vector Machine Classifiers

2003 590 citations Tony Van Gestel, Johan A. K. Suykens et al. profile →

Peers

Countries citing papers authored by Tony Van Gestel

Since Specialization

Citations

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

Fields of papers citing papers by Tony Van Gestel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tony Van Gestel. 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 Tony Van Gestel. The network helps show where Tony Van Gestel may publish in the future.

Co-authorship network of co-authors of Tony Van Gestel

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

#	Work	Indexed citations
1	Evaluatie en verbetering van de datakwaliteit 2009 ·Karel Dejaeger, (unknown), Tony Van Gestel, (unknown), Bart Baesens, Jonas Poelmans, (unknown)	1
2	An overview and framework for PD backtesting and benchmarking 2009 ·Journal of the Operational Research Society ·(unknown), David Martens, Tony Van Gestel, (unknown), Bart Baesens	20
3	Credit Risk Management: Basic Concepts: Financial Risk Components, Rating Analysis, Models, Economic and Regulatory Capital 2008 ·RePEc: Research Papers in Economics ·Tony Van Gestel, Bart Baesens	61
4	Comprehensible Credit Scoring Models using Rule Extraction from Support Vector Machines 2006 ·SSRN Electronic Journal ·David Martens, Bart Baesens, Tony Van Gestel, Jan Vanthienen	29
5	Failure prediction with self organizing maps 2005 ·Expert Systems with Applications ·Johan Huysmans, Bart Baesens, Jan Vanthienen, Tony Van Gestel	46
6	Neural network survival analysis for personal loan data 2005 ·Journal of the Operational Research Society ·Bart Baesens, Tony Van Gestel, (unknown), Dirk Van den Poel, Jan Vanthienen	90
7	A support vector machine approach to credit scoring 2003 ·ePrints Soton (University of Southampton) ·Tony Van Gestel, Bart Baesens, João Garcia, (unknown)	79
8	Preoperative prediction of malignancy of ovarian tumors using least squares support vector machines 2003 ·Artificial Intelligence in Medicine ·Chuan Lü, Tony Van Gestel, Johan A. K. Suykens, Sabine Van Huffel, Ignace Vergote, D. Timmerman	68
9	A support vector machine formulation to pca analysis and its kernel version 2003 ·IEEE Transactions on Neural Networks ·Johan A. K. Suykens, Tony Van Gestel, Joos Vandewalle, Bart De Moor	101
10	Bayesian input selection for nonlinear regression with LS-SVMS 2003 ·IFAC Proceedings Volumes ·Tony Van Gestel, M. Espinoza, Johan A. K. Suykens, Catherine Brasseur, Bart De Moor	4
11	Identifying Positive Real Models in Subspace Identification by Using Regularization 2003 ·IFAC Proceedings Volumes ·Ivan Goethals, Tony Van Gestel, Johan A. K. Suykens, Paul Van Dooren, Bart De Moor	4
12	Multiclass LS-SVMs: Moderated Outputs and Coding-Decoding Schemes 2002 ·Neural Processing Letters ·Tony Van Gestel, Johan A. K. Suykens, Gert Lanckriet, Adriaan Lambrechts, Bart De Moor, Joos Vandewalle	35
13	Imposing stability in subspace identification by regularization 2002 ·Tony Van Gestel, Johan A. K. Suykens, Paul Van Dooren, Bart De Moor	3
14	From linear to Kernel Based Methods in Classification, Modelling and Prediction 2002 ·Tony Van Gestel	4
15	Automatic relevance determination for Least Squares Support Vector Machines classifiers. 2001 ·The European Symposium on Artificial Neural Networks ·Tony Van Gestel, Johan A. K. Suykens, Bart De Moor, Joos Vandewalle	13
16	Financial time series prediction using least squares support vector machines within the evidence framework 2001 ·IEEE Transactions on Neural Networks ·Tony Van Gestel, Johan A. K. Suykens, Dirk-Emma Baestaens, Adriaan Lambrechts, Gert Lanckriet, (unknown), Bart De Moor, Joos Vandewalle	380
17	Identification of stable models in subspace identification by using regularization 2001 ·IEEE Transactions on Automatic Control ·Tony Van Gestel, Johan A. K. Suykens, Paul Van Dooren, Bart De Moor	86
18	An initial approach to wrapped input selection using least squares support vector machine classifiers: some empirical results 2000 ·(unknown), Stijn Viaene, Tony Van Gestel, Johan A. K. Suykens, Guido Dedene, Bart De Moor, Jan Vanthienen	1
19	Volatility Tube Support Vector Machines 2000 ·Neural Network World ·Tony Van Gestel, Johan A. K. Suykens, Bart De Moor, Dirk-Emma Baestaens	2
20	Identification of the circulant modulated Poisson process: a time domain approach 1998 ·Katrien De Cock, Tony Van Gestel, Bart De Moor	2

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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