Ivan Kojadinovic

3.1k citations
52 papers · 1.8k indexed · h-index 22
Topics
Financial Risk and Volatility Modeling (22 papers)Multi-Criteria Decision Making (17 papers)Statistical Methods and Inference (14 papers)
Journals
SHILAP Revista de lepidopterologíaEuropean Journal of Operational ResearchInformation Sciences

In The Last Decade

Ivan Kojadinovic

51 papers receiving 1.7k citations

Peers

Ivan Kojadinovic
Comparison fields: 5 of 121
  • Statistics and Probability 628
  • Management Science and Operations Research 578
  • Finance 458
  • Artificial Intelligence 360
  • Global and Planetary Change 312
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Citations per year

Countries citing papers authored by Ivan Kojadinovic

Since Specialization
Citations

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

Fields of papers citing papers by Ivan Kojadinovic

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ivan Kojadinovic

This figure shows the co-authorship network connecting the top 25 collaborators of Ivan Kojadinovic. A scholar is included among the top collaborators of Ivan Kojadinovic 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 Kojadinovic. Ivan Kojadinovic 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
#WorkIndexed citations
1 0
2 1
3 7
4 2
5 35
6
Semiparametric estimation of a mixture of two linear regressions where one component is known
1
7 42
8 16
9 27
10
A goodness-of-fit test for multivariate multiparameter copulas based on multiplier central limit theorems
2
11 30
12
Modeling Multivariate Distributions with Continuous Margins Using the copula R Package
21
13 285
14 24
15 6
16 2
17
A review of methods for capacity identification in Choquet integral based multi-attribute utility theory: Applications of the Kappalab R package
11
18 43
19 15
20
A maximum quadratic entropy principle for capacity identi cation.
1

About Ivan Kojadinovic

Ivan Kojadinovic is a scholar working on Statistics and Probability, Finance and Management Science and Operations Research, having authored 52 papers that have together received 1.8k indexed citations. Recurring topics across this work include Financial Risk and Volatility Modeling (22 papers), Multi-Criteria Decision Making (17 papers) and Statistical Methods and Inference (14 papers). The work is most often cited by research in Statistics and Probability (628 citations), Management Science and Operations Research (578 citations) and Finance (458 citations). Ivan Kojadinovic has collaborated with scholars based in France, United States and New Zealand. Frequent co-authors include Jun Yan, Michel Grabisch, Patrick Meyer, Mark Holmes, Jean‐Luc Marichal, Katsushige Fujimoto, Marius Hofert, Axel Bücher, Johan Segers and Jean‐François Quessy. Their work appears in journals such as SHILAP Revista de lepidopterología, European Journal of Operational Research and Information Sciences.

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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