D.V. Tošić

895 total citations
44 papers, 604 citations indexed

About

D.V. Tošić is a scholar working on Computational Theory and Mathematics, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, D.V. Tošić has authored 44 papers receiving a total of 604 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computational Theory and Mathematics, 12 papers in Electrical and Electronic Engineering and 9 papers in Artificial Intelligence. Recurrent topics in D.V. Tošić's work include Numerical Methods and Algorithms (7 papers), Vehicle Routing Optimization Methods (6 papers) and Microwave Engineering and Waveguides (5 papers). D.V. Tošić is often cited by papers focused on Numerical Methods and Algorithms (7 papers), Vehicle Routing Optimization Methods (6 papers) and Microwave Engineering and Waveguides (5 papers). D.V. Tošić collaborates with scholars based in Serbia, United States and Montenegro. D.V. Tošić's co-authors include Jozef Kratica, Vladimir Filipović, Zorica Stanimirović, Ivana Ljubić, Mladen Nikolić, Viktor Kunčak, M.D. Lutovac, Stefan Simić, Sanja Bauk and Brian L. Evans and has published in prestigious journals such as SHILAP Revista de lepidopterología, European Journal of Operational Research and IEEE Transactions on Microwave Theory and Techniques.

In The Last Decade

D.V. Tošić

42 papers receiving 567 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D.V. Tošić Serbia 13 232 143 118 88 72 44 604
Hartmut Noltemeier Germany 11 115 0.5× 59 0.4× 33 0.3× 118 1.3× 39 0.5× 39 468
Zhang-Hua Fu China 16 299 1.3× 31 0.2× 61 0.5× 198 2.3× 261 3.6× 45 749
Jianjun Zhang China 12 18 0.1× 25 0.2× 68 0.6× 48 0.5× 149 2.1× 60 526
Péter Kovács Hungary 8 68 0.3× 12 0.1× 77 0.7× 102 1.2× 28 0.4× 19 552
Francisco J. Rodríguez Spain 16 214 0.9× 13 0.1× 39 0.3× 109 1.2× 207 2.9× 31 596
Mirjana Čangalović Serbia 14 154 0.7× 16 0.1× 113 1.0× 345 3.9× 139 1.9× 33 618
Peter Merz Germany 13 275 1.2× 11 0.1× 103 0.9× 262 3.0× 506 7.0× 32 882
Didier El Baz France 15 223 1.0× 8 0.1× 41 0.3× 201 2.3× 161 2.2× 59 673
G. Carpaneto Italy 11 383 1.7× 12 0.1× 38 0.3× 67 0.8× 108 1.5× 11 586
Qiaoyong Jiang China 14 67 0.3× 9 0.1× 77 0.7× 207 2.4× 395 5.5× 58 608

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-authorship network of co-authors of D.V. Tošić

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

All Works

20 of 20 papers shown
1.
Tošić, D.V., et al.. (2021). Sensitivity Analysis of Possible THz Virus Detection Using Quad-Band Metamaterial Sensor. 107–110. 6 indexed citations
2.
Tošić, D.V., Sebastian Tuttas, Ludwig Hoegner, & Uwe Stilla. (2019). FUSION OF FEATURE BASED AND DEEP LEARNING METHODS FOR CLASSIFICATION OF MMS POINT CLOUDS. SHILAP Revista de lepidopterología. XLII-2/W16. 235–242. 1 indexed citations
3.
Hoegner, Ludwig, et al.. (2018). FUSION OF 3D POINT CLOUDS WITH TIR IMAGES FOR INDOOR SCENE RECONSTRUCTION. SHILAP Revista de lepidopterología. XLII-1. 189–194. 13 indexed citations
4.
Anđelić, Milica, Enide Andrade, Domingos M. Cardoso, et al.. (2015). Some new considerations about double nested graphs. Linear Algebra and its Applications. 483. 323–341. 12 indexed citations
5.
Tošić, D.V., et al.. (2015). Application of Memristors in Microwave Passive Circuits. Radioengineering. 24(2). 408–419. 32 indexed citations
6.
Tošić, D.V., et al.. (2014). Building ontologies for different natural languages. Computer Science and Information Systems. 11(2). 623–644. 9 indexed citations
7.
Filipović, Vladimir, et al.. (2013). Electromagnetism-like algorithm for support vector machine parameter tuning. Soft Computing. 18(10). 1985–1998. 4 indexed citations
8.
Anđelić, Milica, Carlos M. da Fonseca, Slavko Simić, & D.V. Tošić. (2011). On bounds for the index of double nested graphs. Linear Algebra and its Applications. 435(10). 2475–2490. 12 indexed citations
9.
Tošić, D.V., et al.. (2011). On the Exact Analytical Solutions of Certain Lambert Transcendental Equations. Mathematical Problems in Engineering. 2011(1). 10 indexed citations
10.
Kratica, Jozef, et al.. (2010). An evolutionary-based approach for solving a capacitated hub location problem. Applied Soft Computing. 11(2). 1858–1866. 36 indexed citations
11.
Kratica, Jozef, D.V. Tošić, & Vladimir Filipović. (2008). SOLVING THE MAXIMALLY BALANCED CONNECTED PARTITION PROBLEM IN GRAPHS BY USING GENETIC ALGORITHM. Computing and Informatics / Computers and Artificial Intelligence. 27(3). 341–354. 17 indexed citations
12.
Kratica, Jozef, Zorica Stanimirović, D.V. Tošić, & Vladimir Filipović. (2006). Two genetic algorithms for solving the uncapacitated single allocation p-hub median problem. European Journal of Operational Research. 182(1). 15–28. 97 indexed citations
13.
Simić, Stefan, et al.. (2006). On the analytical solution of some families of transcendental equations. Applied Mathematics Letters. 20(5). 493–498. 28 indexed citations
14.
Kratica, Jozef, Zorica Stanimirović, D.V. Tošić, & Vladimir Filipović. (2005). GENETIC ALGORITHM FOR SOLVING UNCAPACITATED MULTIPLE ALLOCATION HUB LOCATION PROBLEM. Computing and Informatics / Computers and Artificial Intelligence. 24(4). 427–440. 11 indexed citations
15.
Tošić, D.V., et al.. (2005). Concerning the Special Trans Functions Numerical Simulation and Computation. 5. 1730–1733. 2 indexed citations
16.
Tošić, D.V., et al.. (2002). Genetic algorithms and smoothing filters in solving the geophysical inversion problem. Yugoslav journal of operations research. 12(2). 215–226. 1 indexed citations
17.
Kratica, Jozef, D.V. Tošić, Vladimir Filipović, & Ivana Ljubić. (2001). Solving the simple plant location problem by genetic algorithm. RAIRO - Operations Research. 35(1). 127–142. 120 indexed citations
18.
Tošić, D.V., et al.. (1997). A new approach to the discretization of chaplygin’s method. Acta Mathematica Academiae Scientiarum Hungaricae. 74(1-2). 31–40. 1 indexed citations
19.
Djordjević, A.R., Branimir Reljin, D.V. Tošić, & Tapan K. Sarkar. (1996). Transmission-line theory approach to solution of state equations for linear-lumped circuits. IEEE Transactions on Microwave Theory and Techniques. 44(3). 479–482. 3 indexed citations
20.
Tošić, D.V.. (1983). Some problems related to discretization of Chaplygin's method. Matematički Vesnik. 35(83). 305–318. 1 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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