Mario Malički

1.3k citations
44 papers · 548 · h-index 15

Impact in

Papers in

Mario Malički

43 papers receiving 523 citations

Peers

Mario Malički
Comparison fields: 5 of 89
  • Statistics, Probability and Uncertainty 140
  • Health Informatics 19
  • Information Systems and Management 74
  • Safety Research 56
  • History and Philosophy of Science 17
Replace Heather Carter‐Templeton with:
Heather Carter‐Templeton United States
Ivan Oransky United States
Kellia Chiu Australia
Wim Pinxten Belgium
Bruce P. Squires United States
Tony Delamothe United Kingdom
Eugenijus Gefenas Lithuania
Mary Shultz United States
Joseph A. Costello United States
Erin Watson Canada
Mario Malički relative to Heather Carter‐Templeton United States Heather Carter‐Templeton's profile →
Citations per field
00.5×2.9×
Heather Carter‐Templeton · 1×
Citations per year

Countries citing papers authored by Mario Malički

Since Specialization
Citations

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

Fields of papers citing papers by Mario Malički

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201753
2 201941
3 201440
4 201932
5 202031
6 202130
7 202029
8 201629
9 201320
10 202118
11 201717
12 201817
13 202017
14 202115
15 202114
16 202313
17 202412
18 202010
19 201610
20 201410

About Mario Malički

Mario Malički is a scholar working on Statistics, Probability and Uncertainty, Public Health, Environmental and Occupational Health, Information Systems and Management, General Health Professions and Safety Research, having authored 44 papers that have together received 548 indexed citations. Recurring topics across this work include Meta-analysis and systematic reviews (10 papers), scientometrics and bibliometrics research (8 papers), Academic integrity and plagiarism (7 papers), Academic Publishing and Open Access (7 papers), Health and Medical Research Impacts (3 papers), Academic Writing and Publishing (3 papers), Ethics in Clinical Research (3 papers) and Health Sciences Research and Education (3 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (140 citations), Health Informatics (19 citations), Information Systems and Management (74 citations), Safety Research (56 citations) and History and Philosophy of Science (17 citations). Mario Malički has collaborated with scholars based in Croatia, Netherlands and United States. Frequent co-authors include Ana Marušić, Gerben ter Riet, L.M. Bouter, IJsbrand Jan Aalbersberg, Matko Marušić, Ivan Buljan, Ana Jerončić, Sara Schroter, Amy Price and Tessa Richards. Their work appears in journals such as PLoS ONE, Biochemia Medica, Maternal and Child Nutrition, Journal of Clinical Epidemiology and PeerJ.

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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