Predrag Neskovic

682 citations
30 papers · 540 · h-index 9

Impact in

    • Face and Expression Recognition
    • Advanced Image and Video Retrieval Techniques
    • Image Retrieval and Classification Techniques
    • Machine Learning and Data Classification
    • Imbalanced Data Classification Techniques
    • Anomaly Detection Techniques and Applications
    • Neural Networks and Applications
    • Text and Document Classification Technologies

Papers in

    • Face and Expression Recognition 6
    • Handwritten Text Recognition Techniques 6
    • Advanced Image and Video Retrieval Techniques 6
    • Image Retrieval and Classification Techniques 5
    • Visual Attention and Saliency Detection 3
    • Neural Networks and Applications 8

Predrag Neskovic

27 papers receiving 505 citations

Peers

Predrag Neskovic
Comparison fields: 5 of 103
  • Computer Vision and Pattern Recognition 228
  • Artificial Intelligence 285
  • Signal Processing 54
  • Media Technology 36
  • Control and Systems Engineering 54
Replace George Sebestyen with:
George Sebestyen United States
E. A. Zanaty Egypt
Richard Souvenir United States
Andrej Gisbrecht Germany
Jean-François Paiement United States
András Kocsor Hungary
Defang Chen China
B. Chandrasekaran United States
Eric Garcia United States
Zhengming Ma China
Predrag Neskovic relative to George Sebestyen United States George Sebestyen's profile →
Citations per field
00.5×6.3×
George Sebestyen · 1×
Citations per year

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-authors

The 8 scholars most cited alongside Predrag Neskovic, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Predrag Neskovic Line = papers co-authored together Predrag Neskovic links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006203
2 2005100
3 200571
4 199228
5 200626
6 200520
7 200618
8 200610
9
Interactive Parts Model: An Application to Recognition of On-line Cursive Script
20009
10 20058
11 20068
12
Feature extraction for EEG classification: representing electrode outputs as a Markov stochastic process
20076
13
Classifying n-back EEG data using entropy and mutual information features.
20076
14 20025
15 20053
16
NEURAL NETWORKBASED CONTEXT DRIVEN RECOGNITION OF ONLINE CURSIVE SCRIP
20043
17 20062
18 20062
19 20052
20 20042

About Predrag Neskovic

Predrag Neskovic is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Cognitive Neuroscience, Signal Processing and Information Systems, having authored 30 papers that have together received 540 indexed citations. Recurring topics across this work include Neural Networks and Applications (8 papers), Face and Expression Recognition (6 papers), Handwritten Text Recognition Techniques (6 papers), Advanced Image and Video Retrieval Techniques (6 papers), Image Retrieval and Classification Techniques (5 papers), Blind Source Separation Techniques (4 papers), Neural dynamics and brain function (4 papers) and Visual Attention and Saliency Detection (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (228 citations), Artificial Intelligence (285 citations), Signal Processing (54 citations), Media Technology (36 citations) and Control and Systems Engineering (54 citations). Predrag Neskovic has collaborated with scholars based in United States, China and Serbia. Frequent co-authors include Leon N. Cooper, Jigang Wang, Branko Urošević, Liang Wu, Benjamin B. Kimia, Ehud Rivlin, Elena K. Festa and David M. Schuster. Their work appears in journals such as Neurocomputing, International Journal of Modern Physics A, Pattern Recognition, Lecture notes in computer science and Pattern Recognition Letters.

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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