Katica Šimunović

484 citations
39 papers · 373 · h-index 12

Impact in

Papers in

Katica Šimunović

36 papers receiving 357 citations

Peers

Katica Šimunović
Comparison fields: 5 of 58
  • Industrial and Manufacturing Engineering 85
  • Mechanical Engineering 268
  • Ecological Modeling 18
  • Aerospace Engineering 68
  • Management Science and Operations Research 27
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Citations per field
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Citations per year

Countries citing papers authored by Katica Šimunović

Since Specialization
Citations

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

Fields of papers citing papers by Katica Šimunović

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside Katica Šimunović, 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 Katica Šimunović Line = papers co-authored together Katica Šimunović links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201446
2 201632
3 202030
4 202128
5 201524
6 201423
7 202222
8 202021
9
Application of Artificial Neural Networks to Multiple Criteria Inventory Classification
200919
10 201313
11 201613
12
INVENTORY CLASSIFICATION USING MULTI – CRITERIA ABC ANALYSIS, NEURAL NETWORKS AND CLUSTER ANALYSIS
201412
13 201310
14
Application of different quantitative techniques to inventory classification
200810
15 20189
16 20208
17 20217
18 20206
19
Investigation and estimation of residual stress in flame sprayed and fused NiCrBSi coatings
20085
20
THE ROLE OF ERP SYSTEM IN BUSINESS PROCESS AND EDUCATION
20135

About Katica Šimunović

Katica Šimunović is a scholar working on Mechanical Engineering, Industrial and Manufacturing Engineering, Materials Chemistry, Aerospace Engineering and Biomedical Engineering, having authored 39 papers that have together received 373 indexed citations. Recurring topics across this work include Advanced machining processes and optimization (14 papers), Metal Alloys Wear and Properties (11 papers), Engineering Technology and Methodologies (8 papers), High-Temperature Coating Behaviors (7 papers), Manufacturing Process and Optimization (5 papers), Advanced Surface Polishing Techniques (5 papers), Advanced Machining and Optimization Techniques (5 papers) and Erosion and Abrasive Machining (4 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (85 citations), Mechanical Engineering (268 citations), Ecological Modeling (18 citations), Aerospace Engineering (68 citations) and Management Science and Operations Research (27 citations). Katica Šimunović has collaborated with scholars based in Croatia, Serbia and Kosovo. Frequent co-authors include Goran Šimunović, Tomislav Šarić, Djordje Vukelić, Željko Kanović, Branko Tadić, Boris Agarski, Igor Budak, Miljana Prica, J. Balič and P. Todorović. Their work appears in journals such as Tehnicki vjesnik - Technical Gazette, Journal of Cleaner Production, Tribology Transactions, Advances in Production Engineering & Management and Welding in the World.

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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