Dejan Jovanović

35 papers receiving 506 citations

Peers

Dejan Jovanović
Comparison fields: 5 of 71
  • Transportation 137
  • Industrial and Manufacturing Engineering 203
  • Software 43
  • Hardware and Architecture 43
  • Computational Theory and Mathematics 64
Replace János Sztrik with:
János Sztrik Hungary
José Luís Santos Portugal
G. Carpaneto Italy
William S. Dorn United States
Arutyun Avetisyan Russia
John A. George New Zealand
Jakub Mareček Czechia
Jason J. Sauppe United States
Frederica Darema United States
Dejan Jovanović relative to János Sztrik Hungary János Sztrik's profile →
Citations per field
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Citations per year

Countries citing papers authored by Dejan Jovanović

Since Specialization
Citations

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

Fields of papers citing papers by Dejan Jovanović

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Dejan Jovanović, 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 Dejan Jovanović Line = papers co-authored together Dejan Jovanović links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991144
2 202274
3 201436
4 202432
5 200827
6 199027
7
Improving railroad on-time performance: models, algorithms and applications
198924
8 201321
9 201421
10 201420
11 199615
12 201614
13 201612
14
A DECISION SUPPORT SYSTEM FOR TRAIN DISPATCHING: AN OPTIMIZATION-BASED METHODOLOGY
199011
15 201311
16 20139
17 20058
18 20055
19 19945
20 20243

About Dejan Jovanović

Dejan Jovanović is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Computer Networks and Communications, Astronomy and Astrophysics and Nuclear and High Energy Physics, having authored 36 papers that have together received 542 indexed citations. Recurring topics across this work include Formal Methods in Verification (10 papers), Ionosphere and magnetosphere dynamics (5 papers), Logic, programming, and type systems (5 papers), Magnetic confinement fusion research (5 papers), Railway Systems and Energy Efficiency (4 papers), Energy Load and Power Forecasting (3 papers), Dust and Plasma Wave Phenomena (3 papers) and Constraint Satisfaction and Optimization (3 papers). The work is most often cited by research in Transportation (137 citations), Industrial and Manufacturing Engineering (203 citations), Software (43 citations), Hardware and Architecture (43 citations) and Computational Theory and Mathematics (64 citations). Dejan Jovanović has collaborated with scholars based in United States, Serbia and Germany. Frequent co-authors include Patrick T. Harker, Bruno Dutertre, Leonardo de Moura, Nebojša Bačanin, Luka Jovanović, Miodrag Živković, Miloš Antonijević, Ashish Tiwari, J. Vranješ and Hesham Magd. Their work appears in journals such as Physics of Plasmas, Journal of Plasma Physics, PeerJ Computer Science, Tehnicki vjesnik - Technical Gazette and Formal Methods in System Design.

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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