D. Arsenović

458 citations
59 papers · 309 · h-index 10

Impact in

Papers in

D. Arsenović

52 papers receiving 286 citations

Peers

D. Arsenović
Comparison fields: 5 of 49
  • Acoustics and Ultrasonics 19
  • Atomic and Molecular Physics, and Optics 259
  • Statistical and Nonlinear Physics 86
  • Artificial Intelligence 55
  • Surfaces, Coatings and Films 10
Replace Pierre-Élie Larré with:
Pierre-Élie Larré France
Liad Levi Israel
Pierre Aschiéri France
D. Kruse Germany
E. Arimondo Italy
Robert A. Nyman United Kingdom
Adrien Fusaro France
Ashok K. Mohapatra India
Salvador Godoy Mexico
J. D. Farina United States
D. Arsenović relative to Pierre-Élie Larré France Pierre-Élie Larré's profile →
Citations per field
00.5×3.3×
Pierre-Élie Larré · 1×
Citations per year

Countries citing papers authored by D. Arsenović

Since Specialization
Citations

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

Fields of papers citing papers by D. Arsenović

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200434
2 200822
3 200822
4 200718
5 200617
6 200915
7 200515
8 200714
9 200710
10 200610
11 20088
12 20058
13 20048
14 20057
15 20117
16 20016
17 19955
18 19995
19 20185
20 20165

About D. Arsenović

D. Arsenović is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence, Statistical and Nonlinear Physics, Computational Mechanics and Acoustics and Ultrasonics, having authored 59 papers that have together received 309 indexed citations. Recurring topics across this work include Cold Atom Physics and Bose-Einstein Condensates (23 papers), Quantum optics and atomic interactions (23 papers), Atomic and Subatomic Physics Research (20 papers), Quantum Mechanics and Applications (18 papers), Quantum Information and Cryptography (13 papers), Mechanical and Optical Resonators (6 papers), Granular flow and fluidized beds (5 papers) and Nonlinear Photonic Systems (4 papers). The work is most often cited by research in Acoustics and Ultrasonics (19 citations), Atomic and Molecular Physics, and Optics (259 citations), Statistical and Nonlinear Physics (86 citations), Artificial Intelligence (55 citations) and Surfaces, Coatings and Films (10 citations). D. Arsenović has collaborated with scholars based in Serbia, Slovakia and United States. Frequent co-authors include B. Jelenković, Z. D. Grujić, Dragomir Davidović, Mirjana Božić, Milivoj R. Belić, Milan S. Petrović, Milan Radonjić, Aleksandar J. Krmpot, Lj. Budinski-Petković and J. Vukanić. Their work appears in journals such as Physical Review A, Optics Express, Physical review. A, Journal of Physics B Atomic Molecular and Optical Physics and Journal of Physics A Mathematical and Theoretical.

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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