Iva Čukić

33 papers receiving 848 citations

Peers

Iva Čukić
Comparison fields: 5 of 120
  • Neuropsychology and Physiological Psychology 15
  • Computer Science Applications 50
  • Pollution 93
  • Experimental and Cognitive Psychology 92
  • Physiology 165
Replace Anna Sundström with:
Anna Sundström Sweden
Taoufik Zoubeidi United Arab Emirates
Angela Clifford United Kingdom
Hector A. Olvera‐Alvarez United States
Jing Nie China
Matthew J. Valente United States
Yanan Luo China
Peng Xiong China
Patricia A. Sullivan United States
Iva Čukić relative to Anna Sundström Sweden Anna Sundström's profile →
Citations per field
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Citations per year

Countries citing papers authored by Iva Čukić

Since Specialization
Citations

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

Fields of papers citing papers by Iva Čukić

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017122
2 2018114
3 201772
4 202171
5 201752
6 202145
7 201839
8 201936
9 201831
10 201727
11 201427
12 201721
13 201919
14 201719
15 201519
16 202118
17 201716
18 201516
19 201515
20 201812

About Iva Čukić

Iva Čukić is a scholar working on Physiology, Experimental and Cognitive Psychology, Pollution, Public Health, Environmental and Occupational Health and Health, having authored 33 papers that have together received 863 indexed citations. Recurring topics across this work include Physical Activity and Health (7 papers), Obesity, Physical Activity, Diet (4 papers), Energy and Environment Impacts (4 papers), Cognitive Abilities and Testing (3 papers), Heart Rate Variability and Autonomic Control (3 papers), COVID-19 impact on air quality (3 papers), Health disparities and outcomes (3 papers) and Birth, Development, and Health (3 papers). The work is most often cited by research in Neuropsychology and Physiological Psychology (15 citations), Computer Science Applications (50 citations), Pollution (93 citations), Experimental and Cognitive Psychology (92 citations) and Physiology (165 citations). Iva Čukić has collaborated with scholars based in United Kingdom, Belgium and Australia. Frequent co-authors include Ian J. Deary, G. David Batty, Geoff Der, Catharine R. Galé, Catherine M. Calvin, Caroline Brett, Alexander Weiß, Philippa Dall, Sébastien Chastin and Dawn A. Skelton. Their work appears in journals such as PLoS ONE, Personality and Individual Differences, Journal of Psychosomatic Research, BMC Geriatrics and Clinical Epigenetics.

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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