Ivan Mizera

941 citations
27 papers · 522 · h-index 12

Impact in

Papers in

Ivan Mizera

27 papers receiving 479 citations

Peers

Ivan Mizera
Comparison fields: 5 of 96
  • Statistics and Probability 344
  • Statistics, Probability and Uncertainty 92
  • Computational Mathematics 4
  • Management Science and Operations Research 63
  • Artificial Intelligence 109
Replace Myoungshic Jhun with:
Myoungshic Jhun South Korea
C.-L. Tsai China
Makoto Aoshima Japan
Tatsuya Kubokawa Japan
Fengrong Wei United States
Yves Romain France
Martin Bilodeau Canada
Wolfgang Polonik United States
Ivan Mizera relative to Myoungshic Jhun South Korea Myoungshic Jhun's profile →
Citations per field
00.5×3.8×
Myoungshic Jhun · 1×
Citations per year

Countries citing papers authored by Ivan Mizera

Since Specialization
Citations

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

Fields of papers citing papers by Ivan Mizera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside Ivan Mizera, 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 Ivan Mizera Line = papers co-authored together Ivan Mizera links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200384
2 201376
3 200259
4 201647
5 200247
6 201433
7 200432
8 199928
9 199820
10 200219
11 201918
12 199812
13
On consistent M-estimators: tuning constants, unimodality and breakdown
19948
14 20226
15 20165
16 20015
17 19885
18 20013
19 20122
20 20242

About Ivan Mizera

Ivan Mizera is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty, Management Science and Operations Research, Control and Systems Engineering and Computational Mechanics, having authored 27 papers that have together received 522 indexed citations. Recurring topics across this work include Statistical Methods and Inference (16 papers), Advanced Statistical Methods and Models (13 papers), Advanced Statistical Process Monitoring (5 papers), Control Systems and Identification (3 papers), Sparse and Compressive Sensing Techniques (3 papers), Fuzzy Systems and Optimization (2 papers), Statistical Methods and Bayesian Inference (2 papers) and Financial Risk and Volatility Modeling (2 papers). The work is most often cited by research in Statistics and Probability (344 citations), Statistics, Probability and Uncertainty (92 citations), Computational Mathematics (4 citations), Management Science and Operations Research (63 citations) and Artificial Intelligence (109 citations). Ivan Mizera has collaborated with scholars based in Canada, United States and Slovakia. Frequent co-authors include Roger Koenker, Christine H. Müller, Linglong Kong, Marc Hallin, Jean‐Marie Dufour, Jon A. Wellner, Bei Jiang, Li Zhang, Michal Pešta and Stephen Portnoy. Their work appears in journals such as The Annals of Statistics, Journal of the American Statistical Association, Kybernetika, Journal of the Royal Statistical Society Series B (Statistical Methodology) and Computational Statistics & Data Analysis.

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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