Ivan Mačužić

45 papers receiving 447 citations

Peers

Ivan Mačužić
Comparison fields: 5 of 68
  • Radiological and Ultrasound Technology 40
  • Occupational Therapy 62
  • Industrial and Manufacturing Engineering 75
  • Management Science and Operations Research 62
  • Statistics, Probability and Uncertainty 30
Replace Marko Djapan with:
Marko Djapan Serbia
Maria Chiara Leva Ireland
Eric Min‐yang Wang Taiwan
Nora Balfe Ireland
Yung‐Tsan Jou Taiwan
Erman Çakıt Türkiye
Sandra Mattsson Sweden
Filippo A. Salustri Canada
́Paula Carneiro Portugal
Brendan Ryan United Kingdom
Ivan Mačužić relative to Marko Djapan Serbia Marko Djapan's profile →
Citations per field
00.5×2×3×4.3×
Marko Djapan · 1×
Citations per year

Countries citing papers authored by Ivan Mačužić

Since Specialization
Citations

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

Fields of papers citing papers by Ivan Mačužić

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201531
2 201829
3 202129
4 201526
5 202226
6 201624
7 201821
8 201821
9 201317
10 201517
11 201917
12 201716
13 202116
14 202114
15 201613
16 201512
17 201712
18 201911
19 201911
20 20139

About Ivan Mačužić

Ivan Mačužić is a scholar working on Occupational Therapy, Radiological and Ultrasound Technology, Social Psychology, Safety, Risk, Reliability and Quality and Media Technology, having authored 47 papers that have together received 456 indexed citations. Recurring topics across this work include Occupational Health and Safety Management (10 papers), Occupational Health and Safety Research (8 papers), Human-Automation Interaction and Safety (7 papers), Occupational Health and Safety in Workplaces (7 papers), EEG and Brain-Computer Interfaces (5 papers), Reliability and Maintenance Optimization (5 papers), Ergonomics and Musculoskeletal Disorders (4 papers) and Engineering Education and Curriculum Development (3 papers). The work is most often cited by research in Radiological and Ultrasound Technology (40 citations), Occupational Therapy (62 citations), Industrial and Manufacturing Engineering (75 citations), Management Science and Operations Research (62 citations) and Statistics, Probability and Uncertainty (30 citations). Ivan Mačužić has collaborated with scholars based in Serbia, Italy and United Kingdom. Frequent co-authors include Marko Djapan, Danijela Tadić, Arso M. Vukićević, Miladin Z Stefanovic, Branislav M. Jeremic, Pavle Mijović, Ivan Gligorijević, Vanja Ković, Aleksandar Aleksić and Marko Mladineo. Their work appears in journals such as Safety Science, Sustainability, Advances in Production Engineering & Management, Expert Systems with Applications and Proceedings of the Institution of Mechanical Engineers Part O Journal of Risk and Reliability.

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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