Predrag Neskovic

676 total citations
18 papers, 349 citations indexed

About

Predrag Neskovic is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Predrag Neskovic has authored 18 papers receiving a total of 349 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 11 papers in Artificial Intelligence and 2 papers in Information Systems. Recurrent topics in Predrag Neskovic's work include Handwritten Text Recognition Techniques (5 papers), Advanced Image and Video Retrieval Techniques (4 papers) and Neural Networks and Applications (3 papers). Predrag Neskovic is often cited by papers focused on Handwritten Text Recognition Techniques (5 papers), Advanced Image and Video Retrieval Techniques (4 papers) and Neural Networks and Applications (3 papers). Predrag Neskovic collaborates with scholars based in United States, China and Israel. Predrag Neskovic's co-authors include Leon N. Cooper, Jigang Wang, Branko Urošević, Liang Wu, Benjamin B. Kimia, Ehud Rivlin, Elena K. Festa and David M. Schuster and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition and Neurocomputing.

In The Last Decade

Predrag Neskovic

17 papers receiving 326 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Predrag Neskovic United States 7 184 133 34 33 28 18 349
Vugar E. Ismailov Azerbaijan 11 225 1.2× 52 0.4× 26 0.8× 20 0.6× 15 0.5× 35 390
Jacob Yadegar United States 11 46 0.3× 47 0.4× 40 1.2× 17 0.5× 6 0.2× 29 370
Oleg Okun Finland 14 179 1.0× 263 2.0× 31 0.9× 59 1.8× 26 0.9× 29 483
István Dénes Germany 6 148 0.8× 99 0.7× 46 1.4× 57 1.7× 6 0.2× 12 454
Eric Garcia United States 8 171 0.9× 213 1.6× 36 1.1× 52 1.6× 25 0.9× 13 442
Naum N. Aizenberg Ukraine 8 272 1.5× 119 0.9× 51 1.5× 23 0.7× 16 0.6× 27 408
Seppo Linnainmaa Finland 7 74 0.4× 150 1.1× 12 0.4× 30 0.9× 14 0.5× 10 383
Mirko Křivánek Czechia 4 118 0.6× 44 0.3× 14 0.4× 47 1.4× 23 0.8× 11 366
Zhe Nie China 11 132 0.7× 187 1.4× 20 0.6× 17 0.5× 58 2.1× 34 421
Todd Plantenga United States 8 99 0.5× 90 0.7× 51 1.5× 32 1.0× 24 0.9× 19 340

Countries citing papers authored by Predrag Neskovic

Since Specialization
Citations

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

Fields of papers citing papers by Predrag Neskovic

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Predrag Neskovic

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

All Works

18 of 18 papers shown
1.
Wu, Liang, et al.. (2008). Approximating a non-homogeneous HMM with Dynamic Spatial Dirichlet Process. Proceedings - International Conference on Pattern Recognition. 1–4. 1 indexed citations
2.
Wu, Liang, Predrag Neskovic, & Leon N. Cooper. (2008). A probabilistic model for classifying segmented images. Proceedings - International Conference on Pattern Recognition. 17. 1–4. 1 indexed citations
3.
Wu, Liang, et al.. (2007). Classifying n-back EEG data using entropy and mutual information features.. The European Symposium on Artificial Neural Networks. 61–66. 6 indexed citations
4.
Wu, Liang & Predrag Neskovic. (2007). Feature extraction for EEG classification: representing electrode outputs as a Markov stochastic process. The European Symposium on Artificial Neural Networks. 567–572. 4 indexed citations
5.
6.
Wang, Jigang, Predrag Neskovic, & Leon N. Cooper. (2006). A Probabilistic Model for Cursive Handwriting Recognition using Spatial Context. 5. 201–204. 2 indexed citations
7.
Wang, Jigang, Predrag Neskovic, & Leon N. Cooper. (2006). A Minimum Sphere Covering Approach to Pattern Classification. 433–436. 6 indexed citations
8.
Wang, Jigang, Predrag Neskovic, & Leon N. Cooper. (2006). Improving nearest neighbor rule with a simple adaptive distance measure. Pattern Recognition Letters. 28(2). 207–213. 173 indexed citations
9.
Neskovic, Predrag, et al.. (2006). Bayes classification based on minimum bounding spheres. Neurocomputing. 70(4-6). 801–808. 18 indexed citations
10.
Rivlin, Ehud, et al.. (2005). An integration of online and pseudo-online information for cursive word recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence. 27(5). 669–683. 8 indexed citations
11.
Wang, Jigang, Predrag Neskovic, & Leon N. Cooper. (2005). Neighborhood size selection in the k-nearest-neighbor rule using statistical confidence. Pattern Recognition. 39(3). 417–423. 89 indexed citations
12.
Wang, Jigang, Predrag Neskovic, & Leon N. Cooper. (2005). Context-based tracking of object features. 3. 1775–1779. 2 indexed citations
13.
Neskovic, Predrag & Leon N. Cooper. (2004). NEURAL NETWORKBASED CONTEXT DRIVEN RECOGNITION OF ONLINE CURSIVE SCRIP. Data Archiving and Networked Services (DANS). 1 indexed citations
14.
Neskovic, Predrag, Leon N. Cooper, & David M. Schuster. (2002). A recognition system that uses saccades to detect cars from real-time video streams. 10?3. 2162–2166 vol.5. 1 indexed citations
15.
Neskovic, Predrag & Benjamin B. Kimia. (2002). Three-dimensional shape representation from curvature dependent surface evolution. 1. 6–10. 5 indexed citations
16.
Neskovic, Predrag, et al.. (2000). Interactive Parts Model: An Application to Recognition of On-line Cursive Script. 13. 974–980. 4 indexed citations
17.
Cooper, Leon N. & Predrag Neskovic. (1999). Feedforward, feedback neural networks with context-driven segmentation and recognition. 1 indexed citations
18.
Neskovic, Predrag & Branko Urošević. (1992). QUANTUM OSCILLATORS: APPLICATIONS IN STATISTICAL MECHANICS. International Journal of Modern Physics A. 7(14). 3379–3388. 27 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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