Jozef Kratica

1.3k citations
55 papers · 1k · h-index 17

Impact in

Papers in

Jozef Kratica

53 papers receiving 964 citations

Peers

Jozef Kratica
Comparison fields: 5 of 48
  • Organizational Behavior and Human Resource Management 333
  • Computational Theory and Mathematics 371
  • Industrial and Manufacturing Engineering 93
  • Artificial Intelligence 253
  • Computer Networks and Communications 79
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Citations per field
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Citations per year

Countries citing papers authored by Jozef Kratica

Since Specialization
Citations

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

Fields of papers citing papers by Jozef Kratica

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Jozef Kratica, 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 Jozef Kratica Line = papers co-authored together Jozef Kratica links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001140
2 2006106
3
Improving performances of the genetic algorithm by caching
199959
4 201255
5 200851
6 200340
7 201140
8 200638
9 201038
10 200737
11 201233
12 200830
13 201930
14 201327
15 201325
16 200623
17 201321
18
SOLVING THE MAXIMALLY BALANCED CONNECTED PARTITION PROBLEM IN GRAPHS BY USING GENETIC ALGORITHM
200817
19
GENETIC ALGORITHM FOR SOLVING UNCAPACITATED MULTIPLE ALLOCATION HUB LOCATION PROBLEM
200516
20 201416

About Jozef Kratica

Jozef Kratica is a scholar working on Computational Theory and Mathematics, Organizational Behavior and Human Resource Management, Artificial Intelligence, Industrial and Manufacturing Engineering and Computer Networks and Communications, having authored 55 papers that have together received 1k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (24 papers), Facility Location and Emergency Management (16 papers), Graph Labeling and Dimension Problems (15 papers), Complexity and Algorithms in Graphs (10 papers), Constraint Satisfaction and Optimization (4 papers), Advanced Graph Theory Research (2 papers), Scheduling and Timetabling Solutions (2 papers) and Vehicle Routing Optimization Methods (2 papers). The work is most often cited by research in Organizational Behavior and Human Resource Management (333 citations), Computational Theory and Mathematics (371 citations), Industrial and Manufacturing Engineering (93 citations), Artificial Intelligence (253 citations) and Computer Networks and Communications (79 citations). Jozef Kratica has collaborated with scholars based in Serbia, Austria and Bosnia and Herzegovina. Frequent co-authors include Vladimir Filipović, Mirjana Čangalović, Vera V. Kovacevic-Vujcic, Zorica Stanimirović, Ivana Ljubić, Nenad Mladenović A, Miroslav M. Marić, Zoran Ognjanović, Günther Robert Raidl and Milan Tuba. Their work appears in journals such as European Journal of Operational Research, Applicable Analysis and Discrete Mathematics, Computers & Operations Research, Computers & Industrial Engineering and Results in Mathematics.

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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