Igor Lacković
Impact in
- Biotechnology top 2%
- Microbial Inactivation Methods
- Applied Mathematics top 5%
- Mathematical Inequalities and Applications
- Functional Equations Stability Results
- Mathematical functions and polynomials
Papers in
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- Non-Invasive Vital Sign Monitoring 5
- Biomedical and Engineering Education 5
- Muscle activation and electromyography studies 3
- Advanced Chemical Sensor Technologies 2
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- Meat and Animal Product Quality 4
- Co-authors
- D. S. Mitrinović (1 shared paper)Damijan Miklavčič (3 shared papers)Ratko Magjarević (5 shared papers)Selma Čorović (1 shared paper)Tomaž Rodič (1 shared paper)Tomaž Šuštar (1 shared paper)Geoffrey S. Ibbott (2 shared papers)Lenka Lhotská (2 shared papers)
In The Last Decade
Igor Lacković
26 papers receiving 575 citations
Peers
Comparison fields: 5 of 112
- Biotechnology 203
- Applied Mathematics 142
- Medical Laboratory Technology 14
- Physiology 39
- Biomedical Engineering 279
Countries citing papers authored by Igor Lacković
This map shows the geographic impact of Igor Lacković'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 Igor Lacković with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Igor Lacković more than expected).
Fields of papers citing papers by Igor Lacković
This network shows the impact of papers produced by Igor Lacković. 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 Igor Lacković. The network helps show where Igor Lacković may publish in the future.
Co-authors
The 25 scholars most cited alongside Igor Lacković, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 164 | |
| 2 | 1985 | 143 | |
| 3 | 2009 | 68 | |
| 4 | 2014 | 57 | |
| 5 | 2018 | 38 | |
| 6 | 2016 | 18 | |
| 7 | 2018 | 17 | |
| 8 | 2000 | 16 | |
| 9 | 2018 | 13 | |
| 10 | 2010 | 12 | |
| 11 | 2016 | 11 | |
| 12 | 2012 | 10 | |
| 13 | 2019 | 6 | |
| 14 | 2019 | 6 | |
| 15 | 2015 | 6 | |
| 16 | 2011 | 5 | |
| 17 | 2021 | 5 | |
| 18 | 2002 | 4 | |
| 19 | 2003 | 3 | |
| 20 | 2020 | 2 |
About Igor Lacković
Igor Lacković is a scholar working on Biomedical Engineering, Animal Science and Zoology, Radiation, Medical Laboratory Technology and Electrical and Electronic Engineering, having authored 31 papers that have together received 614 indexed citations. Recurring topics across this work include Non-Invasive Vital Sign Monitoring (5 papers), Biomedical and Engineering Education (5 papers), Meat and Animal Product Quality (4 papers), Radiation Detection and Scintillator Technologies (3 papers), Quality and Safety in Healthcare (3 papers), Muscle activation and electromyography studies (3 papers), Advanced Chemical Sensor Technologies (2 papers) and Cephalopods and Marine Biology (2 papers). The work is most often cited by research in Biotechnology (203 citations), Applied Mathematics (142 citations), Medical Laboratory Technology (14 citations), Physiology (39 citations) and Biomedical Engineering (279 citations). Igor Lacković has collaborated with scholars based in Croatia, Slovenia and Australia. Frequent co-authors include D. S. Mitrinović, Damijan Miklavčič, Ratko Magjarević, Selma Čorović, Tomaž Rodič, Tomaž Šuštar, Geoffrey S. Ibbott, Lenka Lhotská, Sanja Vidaček and Vedran Bilas. Their work appears in journals such as International Journal of Food Science & Technology, Measurement, Foods, Aequationes Mathematicae and BioMedical Engineering OnLine.
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.