Pavel Paclı́k

1.8k total citations
24 papers, 1.1k citations indexed

About

Pavel Paclı́k is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Pavel Paclı́k has authored 24 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 7 papers in Media Technology. Recurrent topics in Pavel Paclı́k's work include Anomaly Detection Techniques and Applications (7 papers), Remote-Sensing Image Classification (6 papers) and Imbalanced Data Classification Techniques (5 papers). Pavel Paclı́k is often cited by papers focused on Anomaly Detection Techniques and Applications (7 papers), Remote-Sensing Image Classification (6 papers) and Imbalanced Data Classification Techniques (5 papers). Pavel Paclı́k collaborates with scholars based in Netherlands, Czechia and Australia. Pavel Paclı́k's co-authors include Robert P. W. Duin, Elżbieta Pękalska, Jana Novovičová, Pavel Pudil, Petr Somol, Thomas C.W. Landgrebe, David M. J. Tax, G.M.P. van Kempen, Reinhard Kohlus and Rpw Duin and has published in prestigious journals such as Pattern Recognition, IEEE Transactions on Intelligent Transportation Systems and Clinical Neurophysiology.

In The Last Decade

Pavel Paclı́k

23 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pavel Paclı́k Netherlands 12 577 501 177 110 92 24 1.1k
Petr Somol Czechia 13 368 0.6× 472 0.9× 93 0.5× 65 0.6× 137 1.5× 47 935
Pai‐Hsuen Chen Taiwan 4 431 0.7× 502 1.0× 74 0.4× 84 0.8× 175 1.9× 4 1.3k
Jinwen Ma China 17 356 0.6× 568 1.1× 80 0.5× 96 0.9× 74 0.8× 81 1.1k
Yao Lu China 21 651 1.1× 390 0.8× 345 1.9× 152 1.4× 66 0.7× 94 1.3k
Francesc J. Ferri Spain 18 539 0.9× 537 1.1× 98 0.6× 186 1.7× 36 0.4× 78 1.1k
Weida Zhou China 14 412 0.7× 341 0.7× 98 0.6× 95 0.9× 54 0.6× 41 814
Xinge You China 21 907 1.6× 355 0.7× 254 1.4× 119 1.1× 40 0.4× 52 1.3k
Xijiong Xie China 19 1.1k 1.8× 825 1.6× 250 1.4× 95 0.9× 71 0.8× 50 1.6k
Fukunaga Japan 6 309 0.5× 506 1.0× 80 0.5× 77 0.7× 123 1.3× 11 1.2k

Countries citing papers authored by Pavel Paclı́k

Since Specialization
Citations

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

Fields of papers citing papers by Pavel Paclı́k

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pavel Paclı́k

This figure shows the co-authorship network connecting the top 25 collaborators of Pavel Paclı́k. A scholar is included among the top collaborators of Pavel Paclı́k 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 Pavel Paclı́k. Pavel Paclı́k 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.
Paclı́k, Pavel, et al.. (2012). Error probability of intracranial brain computer interfaces under non-task elicited brain states. Clinical Neurophysiology. 123(12). 2392–2401. 2 indexed citations
2.
Dinh, Cuong V., Raimund Leitner, Pavel Paclı́k, Marco Loog, & Robert P. W. Duin. (2011). SEDMI: Saliency based edge detection in multispectral images. Image and Vision Computing. 29(8). 546–556. 5 indexed citations
3.
Paclı́k, Pavel, Carmen Lai, Thomas C.W. Landgrebe, & Robert P. W. Duin. (2010). ROC Analysis and Cost-Sensitive Optimization for Hierarchical Classifiers. lncs 3058. 2977–2980. 1 indexed citations
4.
Landgrebe, Thomas C.W. & Pavel Paclı́k. (2010). The ROC skeleton for multiclass ROC estimation. Pattern Recognition Letters. 31(9). 949–958. 7 indexed citations
5.
Leung, K. Y. Esther, et al.. (2010). Database guided detection of anatomical landmark points in 3D images of the heart. 1089–1092. 1 indexed citations
6.
Paclı́k, Pavel, et al.. (2009). People detection and tracking for pose recognition. 1–6.
7.
Hendriks, Emile A., et al.. (2009). Markerless human motion capture and pose recognition. 13–16. 19 indexed citations
8.
Paclı́k, Pavel, et al.. (2008). Watermark detection in X-ray images from paper for dating artworks. International Conference on Signal Processing. 66–71. 2 indexed citations
9.
Paclı́k, Pavel, Carmen Lai, Jana Novovičová, & Robert P. W. Duin. (2008). Variance estimation for two-class and multi-class ROC analysis using operating point averaging. Proceedings - International Conference on Pattern Recognition. 1–4. 4 indexed citations
10.
Landgrebe, Thomas C.W., Pavel Paclı́k, & Robert P. W. Duin. (2006). Precision-recall operating characteristic (P-ROC) curves in imprecise environments. 123–127. 66 indexed citations
11.
Landgrebe, Thomas C.W., David M. J. Tax, Pavel Paclı́k, & Robert P. W. Duin. (2006). The interaction between classification and reject performance for distance-based reject-option classifiers. Pattern Recognition Letters. 27(8). 908–917. 56 indexed citations
12.
Paclı́k, Pavel, Raimund Leitner, & Robert P. W. Duin. (2006). A study on design of object sorting algorithms in the industrial application using hyperspectral imaging. Journal of Real-Time Image Processing. 1(2). 101–108. 10 indexed citations
13.
Paclı́k, Pavel, Jana Novovičová, & Robert P. W. Duin. (2006). Building Road-Sign Classifiers Using a Trainable Similarity Measure. IEEE Transactions on Intelligent Transportation Systems. 7(3). 309–321. 56 indexed citations
14.
Pękalska, Elżbieta, Robert P. W. Duin, & Pavel Paclı́k. (2005). Prototype selection for dissimilarity-based classifiers. Pattern Recognition. 39(2). 189–208. 188 indexed citations
15.
Lai, Carmen, et al.. (2004). A STUDY ON COMBINING IMAGE REPRESENTATIONS FOR IMAGE CLASSIFICATION AND RETRIEVAL. International Journal of Pattern Recognition and Artificial Intelligence. 18(5). 867–890. 28 indexed citations
16.
Paclı́k, Pavel & Robert P. W. Duin. (2003). Dissimilarity-based classification of spectra: computational issues. Real-Time Imaging. 9(4). 237–244. 36 indexed citations
17.
Paclı́k, Pavel, Robert P. W. Duin, G.M.P. van Kempen, & Reinhard Kohlus. (2003). Supervised segmentation of textures in backscatter images. 2. 490–493. 11 indexed citations
18.
Paclı́k, Pavel, Rpw Duin, G.M.P. van Kempen, & Reinhard Kohlus. (2003). Segmentation of multi-spectral images using the combined classifier approach. Image and Vision Computing. 21(6). 473–482. 31 indexed citations
19.
Pękalska, Elżbieta, Pavel Paclı́k, & Robert P. W. Duin. (2002). A generalized kernel approach to dissimilarity-based classification. Journal of Machine Learning Research. 2(2). 175–211. 213 indexed citations
20.
Somol, Petr, Pavel Pudil, Jana Novovičová, & Pavel Paclı́k. (1999). Adaptive floating search methods in feature selection. Pattern Recognition Letters. 20(11-13). 1157–1163. 208 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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