Ioannis Kosmidis

1.3k citations
40 papers · 671 · h-index 14

Impact in

Papers in

Ioannis Kosmidis

38 papers receiving 647 citations

Peers

Ioannis Kosmidis
Comparison fields: 5 of 159
  • Statistics and Probability 203
  • Statistics, Probability and Uncertainty 36
  • Nature and Landscape Conservation 47
  • Ecological Modeling 15
  • Computational Mathematics 2
Replace Angelika van der Linde with:
Angelika van der Linde Germany
Elisabeth Waldmann Germany
Fernanda De Bastiani Brazil
Mikis D. Stasinopoulos United Kingdom
Daniel Lee United States
Colin S. Gillespie United Kingdom
N. C. Weber Australia
June M. Juritz South Africa
Juho Piironen Finland
Anne Gégout‐Petit France
Ioannis Kosmidis relative to Angelika van der Linde Germany Angelika van der Linde's profile →
Citations per field
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Angelika van der Linde · 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 2012145
2 2009125
3 201052
4 201447
5 201135
6
brglm : Bias reduction in binary-response GLMs
201029
7 201725
8 202024
9
Extended Beta Regression in R: Shaken, Stirred, Mixed, and Partitioned
201123
10 201322
11 201918
12 201018
13 201518
14 201718
15 201811
16
Beta Regression [R package betareg version 3.1-3]
202010
17 20178
18 20164
19 20174
20 20154

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 671 indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (13 papers), Statistical Methods and Inference (11 papers), Advanced Statistical Methods and Models (6 papers), Bayesian Methods and Mixture Models (5 papers), Thermoregulation and physiological responses (3 papers), Sports Analytics and Performance (3 papers), Sports Performance and Training (3 papers) and Muscle metabolism and nutrition (3 papers). The work is most often cited by research in Statistics and Probability (203 citations), Statistics, Probability and Uncertainty (36 citations), Nature and Landscape Conservation (47 citations), Ecological Modeling (15 citations) and Computational Mathematics (2 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, Omiros Papaspiliopoulos, Gareth O. Roberts, Despina Komninou, Krzysztof Łatuszyński, Vasiliki Manou and Michele Veldsman. Their work appears in journals such as Biometrika, Journal of the Royal Statistical Society Series B (Statistical Methodology), Journal of Statistical Software, Journal of the Royal Statistical Society Series C (Applied Statistics) and Biomarkers.

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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