Ioannis Kosmidis

1.3k citations
40 papers · 685 · h-index 14

Impact in

Papers in

Ioannis Kosmidis

38 papers receiving 662 citations

Peers

Ioannis Kosmidis
Comparison fields: 5 of 148
  • Statistics and Probability 189
  • Computational Mathematics 3
  • Statistics, Probability and Uncertainty 30
  • Nature and Landscape Conservation 46
  • Ecological Modeling 15
Replace Elisabeth Waldmann with:
Elisabeth Waldmann Germany
Mikis D. Stasinopoulos United Kingdom
Fernanda De Bastiani Brazil
Daniel Lee United States
Angelika van der Linde Germany
N. C. Weber Australia
Colin S. Gillespie United Kingdom
Kung-Yee Liang United States
Dabao Zhang United States
Juho Piironen Finland
Ioannis Kosmidis relative to Elisabeth Waldmann Germany Elisabeth Waldmann's profile →
Citations per field
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Elisabeth Waldmann · 1×
Citations per year

Countries citing papers authored by Ioannis Kosmidis

Since Specialization
Citations

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

Fields of papers citing papers by Ioannis Kosmidis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012148
2 2009128
3 201053
4 201447
5 201134
6
brglm : Bias reduction in binary-response GLMs
201029
7
Extended Beta Regression in R: Shaken, Stirred, Mixed, and Partitioned
201126
8 201725
9 202024
10 201321
11 201720
12 201018
13 201918
14 201518
15 201811
16
Beta Regression [R package betareg version 3.1-3]
202010
17 20179
18 20165
19 20155
20 20174

About Ioannis Kosmidis

Ioannis Kosmidis is a scholar working on Statistics and Probability, Economics and Econometrics, Artificial Intelligence, Physiology and Finance, having authored 40 papers that have together received 685 indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (13 papers), Statistical Methods and Inference (10 papers), Advanced Statistical Methods and Models (6 papers), Bayesian Methods and Mixture Models (5 papers), Muscle metabolism and nutrition (3 papers), Sports Analytics and Performance (3 papers), Point processes and geometric inequalities (2 papers) and Advanced Causal Inference Techniques (2 papers). The work is most often cited by research in Statistics and Probability (189 citations), Computational Mathematics (3 citations), Statistics, Probability and Uncertainty (30 citations), Nature and Landscape Conservation (46 citations) and Ecological Modeling (15 citations). Ioannis Kosmidis has collaborated with scholars based in United Kingdom, Greece and Italy. Frequent co-authors include David Firth, Achim Zeileis, Bettina Grün, Vassilis Mougios, Tiziana Rossetto, Vasiliki Manou, Νikolaos Raikos, Ioanna Ioannou, Olga Deda and Aikaterina Siopi. Their work appears in journals such as Biometrika, Journal of the Royal Statistical Society Series C (Applied Statistics), Journal of Statistical Software, Journal of the Royal Statistical Society Series B (Statistical Methodology) and Electronic Journal of Statistics.

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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