Miljenko Huzak

405 total citations
23 papers, 258 citations indexed

About

Miljenko Huzak is a scholar working on Physiology, Molecular Biology and Finance. According to data from OpenAlex, Miljenko Huzak has authored 23 papers receiving a total of 258 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Physiology, 8 papers in Molecular Biology and 6 papers in Finance. Recurrent topics in Miljenko Huzak's work include Telomeres, Telomerase, and Senescence (8 papers), Probability and Risk Models (4 papers) and Stochastic processes and financial applications (4 papers). Miljenko Huzak is often cited by papers focused on Telomeres, Telomerase, and Senescence (8 papers), Probability and Risk Models (4 papers) and Stochastic processes and financial applications (4 papers). Miljenko Huzak collaborates with scholars based in Croatia, United States and Slovenia. Miljenko Huzak's co-authors include Zoran Vondraček, Hrvoje Šikić, Mihael Perman, Ivica Rubelj, Branko Brdar, Olivia M. Pereira‐Smith, Denis Polančec, Nevenka Kopjar, Dinko Mitrečić and Srečko Gajović and has published in prestigious journals such as PLoS ONE, The Journals of Gerontology Series A and Journal of Theoretical Biology.

In The Last Decade

Miljenko Huzak

21 papers receiving 249 citations

Peers

Miljenko Huzak
Comparison fields: 5 of 80
  • Management Science and Operations Research 95
  • Physiology 74
  • Molecular Biology 72
  • Finance 63
  • Demography 53
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Citations per field, relative to Miljenko Huzak
Miljenko Huzak · 1×
Citations per year, relative to Miljenko Huzak
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Countries citing papers authored by Miljenko Huzak

Since Specialization
Citations

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

Fields of papers citing papers by Miljenko Huzak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miljenko Huzak

This figure shows the co-authorship network connecting the top 25 collaborators of Miljenko Huzak. A scholar is included among the top collaborators of Miljenko Huzak 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 Miljenko Huzak. Miljenko Huzak 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
# Work Indexed citations
1 1
2 0
3 1
4 7
5 13
6 3
7 7
8 19
9 21
10 13
11
Reaction kinetics in intracellular environments: The two proposed models yield qualitatively different predictions
4
12 19
13 16
14 67
15 8
16
A GENERAL THEOREM ON APPROXIMATE MAXIMUM LIKELIHOOD ESTIMATION
2
17 15
18
Parameter estimation of diffusion models
1
19
Parameter estimation of diffusion models from discrete observations
1
20 10

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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