Igor Đurđanović

1.1k citations
10 papers · 342 · h-index 7

Impact in

Papers in

    • Evolutionary Algorithms and Applications 4
    • Logic, programming, and type systems 3
    • Metaheuristic Optimization Algorithms Research 2
    • Neural Networks and Applications 1
    • Artificial Intelligence in Games 1
    • Formal Methods in Verification 3
    • Computability, Logic, AI Algorithms 3

Igor Đurđanović

10 papers receiving 318 citations

Peers

Igor Đurđanović
Comparison fields: 5 of 48
  • Hardware and Architecture 76
  • Computer Vision and Pattern Recognition 179
  • Computational Mathematics 3
  • Artificial Intelligence 156
  • Software 15
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Citations per year

Countries citing papers authored by Igor Đurđanović

Since Specialization
Citations

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

Fields of papers citing papers by Igor Đurđanović

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside Igor Đurđanović, 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 Igor Đurđanović Line = papers co-authored together Igor Đurđanović links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2009185
2 200964
3
Occam: Specification and Compiler Correctness - Part I: The Primary Model
199423
4 200020
5 199617
6 199611
7 20079
8 20026
9 20015
10
An Overview of NECI's Generic Game Server
20012

About Igor Đurđanović

Igor Đurđanović is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Computer Vision and Pattern Recognition, Hardware and Architecture and Computer Networks and Communications, having authored 10 papers that have together received 342 indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (4 papers), Formal Methods in Verification (3 papers), Computability, Logic, AI Algorithms (3 papers), Logic, programming, and type systems (3 papers), Metaheuristic Optimization Algorithms Research (2 papers), Parallel Computing and Optimization Techniques (2 papers), Neural Networks and Applications (1 paper) and Artificial Intelligence in Games (1 paper). The work is most often cited by research in Hardware and Architecture (76 citations), Computer Vision and Pattern Recognition (179 citations), Computational Mathematics (3 citations), Artificial Intelligence (156 citations) and Software (15 citations). Igor Đurđanović has collaborated with scholars based in United States, Germany and Italy. Frequent co-authors include Eric Cosatto, Venkata Jakkula, Srihari Cadambi, Srimat Chakradhar, Hans Peter Graf, Eric B. Baum, Egon Börger, Dean Rosenzweig, Uwe Glässer and Christoph Beierle. Their work appears in journals such as Neural Computation, Lecture notes in computer science, Natural computing series, The MIT Press eBooks and Medical Entomology and Zoology.

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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