Ivan Mačužić

40 papers receiving 371 citations

Peers

Ivan Mačužić
Comparison fields: 5 of 77
  • Radiological and Ultrasound Technology 87
  • Medical Laboratory Technology 21
  • Statistics, Probability and Uncertainty 63
  • Industrial and Manufacturing Engineering 71
  • Management Information Systems 48
Replace Marko Djapan with:
Marko Djapan Serbia
Ahmet Kolus Saudi Arabia
Phillip Tretten Sweden
Luigi Monica Italy
Arunkumar Pennathur United States
Marcin Butlewski Poland
Eric Min‐yang Wang Taiwan
Peter Hughes United Kingdom
Francisco Brocal Spain
Paula Savioja Finland
Ivan Mačužić relative to Marko Djapan Serbia Marko Djapan's profile →
Citations per field
00.5×3.5×
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 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201530
2 201829
3 201526
4 202224
5 201624
6 201821
7 201318
8 201517
9 201917
10 202116
11 201715
12 202114
13 201612
14 201512
15 201911
16 201911
17 201711
18 20149
19 20127
20 20126

About Ivan Mačužić

Ivan Mačužić is a scholar working on Social Psychology, Radiological and Ultrasound Technology, Statistics, Probability and Uncertainty, Industrial and Manufacturing Engineering and Strategy and Management, having authored 42 papers that have together received 382 indexed citations. Recurring topics across this work include Occupational Health and Safety Research (8 papers), Risk and Safety Analysis (6 papers), Human-Automation Interaction and Safety (6 papers), Ergonomics and Human Factors (4 papers), Neural and Behavioral Psychology Studies (4 papers), EEG and Brain-Computer Interfaces (4 papers), Manufacturing Process and Optimization (3 papers) and Quality and Safety in Healthcare (3 papers). The work is most often cited by research in Radiological and Ultrasound Technology (87 citations), Medical Laboratory Technology (21 citations), Statistics, Probability and Uncertainty (63 citations), Industrial and Manufacturing Engineering (71 citations) and Management Information Systems (48 citations). Ivan Mačužić has collaborated with scholars based in Serbia, Italy and Montenegro. Frequent co-authors include Marko Djapan, Danijela Tadić, Miladin Stefanović, Arso M. Vukićević, P. Todorović, Pavle Mijović, Branislav Jeremić, Ivan Gligorijević, Vanja Ković and Aleksandar Aleksić. Their work appears in journals such as Safety Science, Sustainability, Journal of Loss Prevention in the Process Industries, Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture and IEEE Access.

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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