D.V. Tošić

902 citations
44 papers · 608 · h-index 13

Impact in

Papers in

D.V. Tošić

42 papers receiving 571 citations

Peers

D.V. Tošić
Comparison fields: 5 of 77
  • Industrial and Manufacturing Engineering 232
  • Organizational Behavior and Human Resource Management 143
  • Software 34
  • Computer Science Applications 42
  • Transportation 50
Replace Péter Kovács with:
Péter Kovács Hungary
K. Thulasiraman United States
Hartmut Noltemeier Germany
Alpár Jüttner Hungary
Arunabha Sen United States
Peter Merz Germany
Qiaoyong Jiang China
Mirjana Čangalović Serbia
P. Merz Germany
Qingzheng Xu China
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Citations per year

Countries citing papers authored by D.V. Tošić

Since Specialization
Citations

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

Fields of papers citing papers by D.V. Tošić

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D.V. Tošić. 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 D.V. Tošić. The network helps show where D.V. Tošić may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001121
2 200697
3 201262
4 201036
5 201532
6 200628
7 199618
8
SOLVING THE MAXIMALLY BALANCED CONNECTED PARTITION PROBLEM IN GRAPHS BY USING GENETIC ALGORITHM
200817
9 201813
10 201512
11 201112
12 200612
13 200212
14 200511
15 200611
16 201110
17 201110
18 201210
19 20149
20 20039

About D.V. Tošić

D.V. Tošić is a scholar working on Computational Theory and Mathematics, Electrical and Electronic Engineering, Artificial Intelligence, Industrial and Manufacturing Engineering and Geometry and Topology, having authored 44 papers that have together received 608 indexed citations. Recurring topics across this work include Numerical Methods and Algorithms (7 papers), Vehicle Routing Optimization Methods (6 papers), Microwave Engineering and Waveguides (5 papers), Metaheuristic Optimization Algorithms Research (5 papers), Graph theory and applications (4 papers), Matrix Theory and Algorithms (4 papers), Advanced Graph Theory Research (4 papers) and Electromagnetic Compatibility and Noise Suppression (4 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (232 citations), Organizational Behavior and Human Resource Management (143 citations), Software (34 citations), Computer Science Applications (42 citations) and Transportation (50 citations). D.V. Tošić has collaborated with scholars based in Serbia, United States and Montenegro. Frequent co-authors include Jozef Kratica, Vladimir Filipović, Zorica Stanimirović, Ivana Ljubić, Viktor Kunčak, Mladen Nikolić, M.D. Lutovac, Sanja Bauk, Stefan Simić and Slavko Simić. Their work appears in journals such as IEEE Transactions on Microwave Theory and Techniques, Linear Algebra and its Applications, Information and Software Technology, European Journal of Operational Research and Electronics 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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