Ljubomir Perković

630 citations
23 papers · 255 indexed · h-index 8

Ljubomir Perković

19 papers receiving 230 citations

Peers

Ljubomir Perković
Comparison fields: 5 of 48
  • Computer Science Applications 104
  • Computer Graphics and Computer-Aided Design 33
  • Discrete Mathematics and Combinatorics 23
  • Computational Theory and Mathematics 84
  • Developmental and Educational Psychology 58
Replace Francisco Botana with:
Francisco Botana Spain
Violetta Lonati Italy
Dan Vilenchik Israel
Predrag Janičić Serbia
David P. Bunde United States
Eladio Gutiérrez Spain
Paul Swoboda Germany
Carl Burch United States
Zdravko Markov United States
Shi-Kuo Chang United States
Ljubomir Perković relative to Francisco Botana Spain Francisco Botana's profile →
Citations per field
00.5×3.6×
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Citations per year

Countries citing papers authored by Ljubomir Perković

Since Specialization
Citations

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

Fields of papers citing papers by Ljubomir Perković

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 24 scholars most cited alongside Ljubomir Perković, 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 Ljubomir Perković Line = papers co-authored together Ljubomir Perković links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
Introduction to Computing Using Python: An Application Development Focus
20214
2 20200
3 20173
4 20160
5 20156
6 20143
7 20107
8 201093
9 20081
10 20086
11
Computing Branches Out: On Revitalizing Computing Education.
20075
12 20071
13 20067
14 20047
15
A note on Baker's algorithm
20041
16
New Bounds for the Firing Squad Problem on a Ring
20022
17 200034
18
Edge coloring, polyhedra and probability
19982
19 199718
20 199334

About Ljubomir Perković

Ljubomir Perković is a scholar working on Computer Graphics and Computer-Aided Design, Computational Theory and Mathematics and Discrete Mathematics and Combinatorics, having authored 23 papers that have together received 255 indexed citations. Recurring topics across this work include Computational Geometry and Mesh Generation (8 papers), Advanced Graph Theory Research (7 papers), Complexity and Algorithms in Graphs (5 papers), Graph Labeling and Dimension Problems (3 papers), Teaching and Learning Programming (3 papers), semigroups and automata theory (2 papers), Optimization and Search Problems (2 papers) and DNA and Biological Computing (2 papers). The work is most often cited by research in Computer Science Applications (104 citations), Computer Graphics and Computer-Aided Design (33 citations) and Discrete Mathematics and Combinatorics (23 citations). Ljubomir Perković has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Amber Settle, Bruce Reed, Sungsoon Hwang, Joshua Jones, Iyad Kanj, Ge Xia, Alan Frieze, Ravi Kannan, Ajai Kapoor and Umesh Vazirani. Their work appears in journals such as SIAM Journal on Computing, IEEE Transactions on Mobile Computing and Theoretical Computer Science.

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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