Šarūnas Raudys

3.2k total citations · 1 hit paper
50 papers, 1.9k citations indexed

About

Šarūnas Raudys is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Šarūnas Raudys has authored 50 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Artificial Intelligence, 22 papers in Computer Vision and Pattern Recognition and 9 papers in Signal Processing. Recurrent topics in Šarūnas Raudys's work include Neural Networks and Applications (30 papers), Face and Expression Recognition (22 papers) and Complex Systems and Time Series Analysis (8 papers). Šarūnas Raudys is often cited by papers focused on Neural Networks and Applications (30 papers), Face and Expression Recognition (22 papers) and Complex Systems and Time Series Analysis (8 papers). Šarūnas Raudys collaborates with scholars based in Lithuania, Poland and Türkiye. Šarūnas Raudys's co-authors include Anil K. Jain, Robert P. W. Duin, Dean M. Young, Patrick Gallinari, Françoise Fogelman Soulié, Marina Skurichina, Yasemin P. Kahya, Bülent Sankur, Aušra Saudargienė and Walter Schmidt and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition and Sustainability.

In The Last Decade

Šarūnas Raudys

50 papers receiving 1.8k 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.

Small sample size effects in statistical pattern recognition: recommendations for practitioners

1991 991 citations Šarūnas Raudys, Anil K. Jain IEEE Transactions on Pattern Analysis and Machine Intelligence profile →

Peers

Countries citing papers authored by Šarūnas Raudys

Since Specialization

Citations

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

Fields of papers citing papers by Šarūnas Raudys

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Šarūnas Raudys

This figure shows the co-authorship network connecting the top 25 collaborators of Šarūnas Raudys. A scholar is included among the top collaborators of Šarūnas Raudys 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 Šarūnas Raudys. Šarūnas Raudys 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	Pairwise Costs in Multiclass Perceptrons 2010 ·IEEE Transactions on Pattern Analysis and Machine Intelligence ·Šarūnas Raudys, (unknown)	14
2	Multicategory Nets of Single-Layer Perceptrons: Complexity and Sample-Size Issues 2010 ·IEEE Transactions on Neural Networks ·Šarūnas Raudys, (unknown), Edmundas Kazimieras Zavadskas	4
3	Trainable fusion rules. II. Small sample-size effects 2006 ·Neural Networks ·Šarūnas Raudys	20
4	Trainable fusion rules. I. Large sample size case 2006 ·Neural Networks ·Šarūnas Raudys	21
5	Information Transmission Concept Based Model of Wave Propagation in Discrete Excitable Media 2004 ·Nonlinear Analysis Modelling and Control ·Šarūnas Raudys	4
6	Two-stage classification of respiratory sound patterns 2004 ·Computers in Biology and Medicine ·(unknown), Bülent Sankur, Yasemin P. Kahya, Šarūnas Raudys	37
7	Results in statistical discriminant analysis: a review of the former Soviet Union literature 2003 ·Journal of Multivariate Analysis ·Šarūnas Raudys, Dean M. Young	35
8	Small sample size effects in statistical pattern recognition: recommendations for practitioners and open problems 2002 ·Šarūnas Raudys, Anil K. Jain	25
9	Initializations, back-propagation and generalization of feed-forward classifiers 2002 ·IEEE International Conference on Neural Networks ·Walter Schmidt, Šarūnas Raudys, Martin A. Kraaijveld, (unknown), Robert P. W. Duin	18
10	Statistical and Neural Classifiers 2001 ·Šarūnas Raudys	56
11	First-order tree-type dependence between variables and classification performance 2001 ·IEEE Transactions on Pattern Analysis and Machine Intelligence ·Šarūnas Raudys, Aušra Saudargienė	13
12	Evolution and generalization of a single neurone. III. Primitive, regularized, standard, robust and minimax regressions 2000 ·Neural Networks ·Šarūnas Raudys	3
13	Generalization Error of Randomized Linear Zero Empirical Error Classifier: Simple Asymptotics for Centered Data Case 2000 ·(unknown), Šarūnas Raudys	1
14	Evolution and generalization of a single neurone: I. Single-layer perceptron as seven statistical classifiers 1998 ·Neural Networks ·Šarūnas Raudys	55
15	Evolution and generalization of a single neurone: 1998 ·Neural Networks ·Šarūnas Raudys	24
16	Visual classification of medical data using MLP mapping 1998 ·Computers in Biology and Medicine ·(unknown), Bülent Sankur, Yasemin P. Kahya, Šarūnas Raudys	6
17	Expected error of minimum empirical error and maximal margin classifiers 1996 ·Šarūnas Raudys, (unknown)	2
18	Linear classifiers in perceptron design 1996 ·Šarūnas Raudys	3
19	Variable selection with neural networks 1996 ·Neurocomputing ·(unknown), Françoise Fogelman Soulié, Patrick Gallinari, Šarūnas Raudys	61
20	The role of the number of training samples on weight initialisation of artificial neural net classifier 1992 ·Šarūnas Raudys, (unknown)	4

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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