Ivan Žežula

639 total citations
49 papers, 392 citations indexed

About

Ivan Žežula is a scholar working on Statistics and Probability, Materials Chemistry and General Health Professions. According to data from OpenAlex, Ivan Žežula has authored 49 papers receiving a total of 392 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Statistics and Probability, 10 papers in Materials Chemistry and 5 papers in General Health Professions. Recurrent topics in Ivan Žežula's work include Statistical Methods and Bayesian Inference (7 papers), Solid-state spectroscopy and crystallography (6 papers) and Statistical Methods and Inference (6 papers). Ivan Žežula is often cited by papers focused on Statistical Methods and Bayesian Inference (7 papers), Solid-state spectroscopy and crystallography (6 papers) and Statistical Methods and Inference (6 papers). Ivan Žežula collaborates with scholars based in Slovakia, Belarus and Netherlands. Ivan Žežula's co-authors include Andrea Madarasová Gecková, Jitse P. van Dijk, Johan W. Groothoff, Sijmen A. Reijneveld, Daniel Klein, Jan Pavelka, Anna Ševčíková, Daniela Husárová, Anuradha Roy and W.J.A. van den Heuvel and has published in prestigious journals such as The Journal of Comparative Neurology, Transplantation and BMC Public Health.

In The Last Decade

Ivan Žežula

44 papers receiving 352 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ivan Žežula Slovakia 11 104 58 53 52 30 49 392
Michael J. OʼNeil United States 9 68 0.7× 50 0.9× 22 0.4× 28 0.5× 223 7.4× 18 500
Christian Aßmann Germany 13 30 0.3× 41 0.7× 80 1.5× 22 0.4× 32 1.1× 44 416
Brendan Clarke United Kingdom 7 84 0.8× 31 0.5× 68 1.3× 13 0.3× 36 1.2× 12 384
Sarah Chard United States 10 142 1.4× 10 0.2× 33 0.6× 36 0.7× 57 1.9× 24 464
Charles D. Cowan United States 9 86 0.8× 72 1.2× 46 0.9× 15 0.3× 67 2.2× 13 394
Justin Harvey South Africa 17 15 0.1× 26 0.4× 38 0.7× 26 0.5× 8 0.3× 52 704
Ingrid C. Wurpts United States 4 37 0.4× 26 0.4× 27 0.5× 23 0.4× 46 1.5× 7 302
Wendy Chan United States 10 53 0.5× 59 1.0× 16 0.3× 36 0.7× 108 3.6× 26 328
Roy T. Sabo United States 9 115 1.1× 49 0.8× 63 1.2× 11 0.2× 30 1.0× 30 343
Elizabeth Mahon United Kingdom 8 39 0.4× 19 0.3× 101 1.9× 17 0.3× 10 0.3× 18 434

Countries citing papers authored by Ivan Žežula

Since Specialization
Citations

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

Fields of papers citing papers by Ivan Žežula

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ivan Žežula

This figure shows the co-authorship network connecting the top 25 collaborators of Ivan Žežula. A scholar is included among the top collaborators of Ivan Žežula based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ivan Žežula. Ivan Žežula is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Košuth, Ján, Ivan Žežula, Toniella Giallongo, et al.. (2020). Majority of cerebrospinal fluid‐contacting neurons in the spinal cord of C57Bl/6N mice is present in ectopic position unlike in other studied experimental mice strains and mammalian species. The Journal of Comparative Neurology. 528(15). 2523–2550. 13 indexed citations
2.
Žežula, Ivan, et al.. (2020). Unbiased estimator of correlation coefficient. Communication in Statistics- Theory and Methods. 51(1). 95–115. 3 indexed citations
3.
Gecková, Andrea Madarasová, et al.. (2016). Regional mortality by socioeconomic factors in Slovakia: a comparison of 15 years of changes. International Journal for Equity in Health. 15(1). 115–115. 5 indexed citations
4.
Roy, Anuradha, Ricardo Leiva, Ivan Žežula, & Daniel Klein. (2015). Testing the equality of mean vectors for paired doubly multivariate observations in blocked compound symmetric covariance matrix setup. Journal of Multivariate Analysis. 137. 50–60. 12 indexed citations
5.
Husárová, Daniela, Jan Pavelka, Anna Ševčíková, et al.. (2014). How parents can affect excessive spending of time on screen-based activities. BMC Public Health. 14(1). 1261–1261. 57 indexed citations
6.
Veselská, Zuzana Dankulincová, Daniela Fiľakovská Bobáková, Daniel Pella, et al.. (2013). Is the cardiovascular risk profile of people living in Roma settlements worse in comparison with the majority population in Slovakia?. International Journal of Public Health. 58(3). 417–425. 29 indexed citations
7.
Žežula, Ivan & Daniel Klein. (2011). Overview of Recent Results in Growth-curve-type Multivariate Linear Models. Czech digital mathematics library. 50(2). 137–146. 1 indexed citations
8.
Salonna, Ferdinand, Andrea Madarasová Gecková, Ivan Žežula, et al.. (2011). Does social support mediate or moderate socioeconomic differences in self-rated health among adolescents?. International Journal of Public Health. 57(3). 609–617. 21 indexed citations
9.
Klein, Daniel & Ivan Žežula. (2010). Orthogonal decompositions in growth curve models. Acta et Commentationes Universitatis Tartuensis de Mathematica. 14. 35–44. 5 indexed citations
10.
Gecková, Andrea Madarasová, et al.. (2009). Socioeconomic indicators and ethnicity as determinants of regional mortality rates in Slovakia. International Journal of Public Health. 54(4). 274–282. 23 indexed citations
11.
Klein, Daniel & Ivan Žežula. (2009). The maximum likelihood estimators in the growth curve model with serial covariance structure. Journal of Statistical Planning and Inference. 139(9). 3270–3276. 4 indexed citations
12.
Gecková, Andrea Madarasová, et al.. (2008). Socioeconomic and psychosocial factors of sense of coherence among adolescents. University of Groningen research database (University of Groningen / Centre for Information Technology). 52(2). 132–144. 1 indexed citations
13.
Rosenberger, Jaroslav, Jitse P. van Dijk, Iveta Nagyová, et al.. (2006). Predictors of Perceived Health Status in Patients after Kidney Transplantation. Transplantation. 81(9). 1306–1310. 37 indexed citations
14.
Žežula, Ivan. (2005). Special variance structures in the growth curve model. Journal of Multivariate Analysis. 97(3). 606–618. 14 indexed citations
15.
Gecková, Andrea Madarasová, et al.. (2004). Socio-economic differences in health among Slovak adolescents. Sozial- und Präventivmedizin. 49(1). 26–35. 22 indexed citations
16.
Jacková, Anna, et al.. (2000). Methemoglobin levels in blood and transrenal passage of nitrates and nitrites in calves.. Bulletin of the Veterinary Institute in Pulawy. 44(1). 73–78. 5 indexed citations
17.
Žežula, Ivan, et al.. (1999). Influence of long-term nitrate exposure on calves. Bulletin of the Veterinary Institute in Pulawy. 43(1). 2 indexed citations
18.
Žežula, Ivan, et al.. (1998). Levels of residual nitrates and nitrites in milk in 1996. Bulletin of the Veterinary Institute in Pulawy. 42(2). 1 indexed citations
19.
Zentková, M., A. Zentko, & Ivan Žežula. (1998). Magnetic properties of the Prussian blue like compounds. 48(6). 837–840. 3 indexed citations
20.
Diko, P., Ivan Žežula, M. Timko, et al.. (1990). The microstructure changes in Tl2Ba2Ca2Cu3O x samples during annealing. Journal of Materials Science Letters. 9(4). 391–393. 4 indexed citations

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Michael J. OʼNeil Breakdown of academic impact, for papers by Christian Aßmann Breakdown of academic impact, for papers by Brendan Clarke Breakdown of academic impact, for papers by Sarah Chard Breakdown of academic impact, for papers by Charles D. Cowan Breakdown of academic impact, for papers by Justin Harvey Breakdown of academic impact, for papers by Ingrid C. Wurpts Breakdown of academic impact, for papers by Wendy Chan Breakdown of academic impact, for papers by Roy T. Sabo Breakdown of academic impact, for papers by Elizabeth Mahon
Rankless by CCL
2026