Milan Bašić

561 citations
22 papers · 357 · h-index 12

Impact in

Papers in

Milan Bašić

20 papers receiving 344 citations

Peers

Milan Bašić
Comparison fields: 5 of 27
  • Discrete Mathematics and Combinatorics 65
  • Geometry and Topology 135
  • Computational Theory and Mathematics 229
  • Artificial Intelligence 192
  • Algebra and Number Theory 9
Replace Lane Clark with:
Lane Clark United States
Krystal Guo Canada
Axel Kohnert Germany
B. Tayfeh‐Rezaie Iran
F. Göbel Netherlands
Siemion Fajtlowicz United States
Zhi‐Xiong Wen China
Xuerong Yong China
Mohammad Ali Hosseinzadeh Iran
Louis V. Quintas United States
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Citations per field
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Citations per year

Countries citing papers authored by Milan Bašić

Since Specialization
Citations

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

Fields of papers citing papers by Milan Bašić

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 6 scholars most cited alongside Milan Bašić, 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 Milan Bašić Line = papers co-authored together Milan Bašić links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201183
2 200950
3 201241
4 200938
5 200924
6 201020
7 201019
8 201115
9 201313
10 201012
11 201312
12 201111
13 20177
14 20223
15
On the diameter of integral circulant graphs.
20122
16 20152
17 20192
18
Perfect state transfer between non-antipodal vertices in integral circulant graphs.
20151
19 20221
20 20181

About Milan Bašić

Milan Bašić is a scholar working on Geometry and Topology, Artificial Intelligence, Computational Theory and Mathematics, Organic Chemistry and Discrete Mathematics and Combinatorics, having authored 22 papers that have together received 357 indexed citations. Recurring topics across this work include Graph theory and applications (14 papers), Quantum Computing Algorithms and Architecture (7 papers), Quantum Information and Cryptography (6 papers), Quantum and electron transport phenomena (5 papers), Finite Group Theory Research (5 papers), Synthesis and Properties of Aromatic Compounds (5 papers), Advanced Graph Theory Research (3 papers) and semigroups and automata theory (3 papers). The work is most often cited by research in Discrete Mathematics and Combinatorics (65 citations), Geometry and Topology (135 citations), Computational Theory and Mathematics (229 citations), Artificial Intelligence (192 citations) and Algebra and Number Theory (9 citations). Milan Bašić has collaborated with scholars based in Serbia and United States. Frequent co-authors include Marko D. Petković, Aleksandar Ilić, Miroslav Ćirić, Jelena Ignjatović, Dragan Stevanović and Zoran Obradović. Their work appears in journals such as Information Sciences, Applied Mathematics Letters, Applied Mathematics and Computation, Computers & Mathematics with Applications and Fuzzy Sets and Systems.

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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