Ioannis Kosmidis

1.3k total citations
40 papers, 671 citations indexed

About

Ioannis Kosmidis is a scholar working on Statistics and Probability, Economics and Econometrics and Artificial Intelligence. According to data from OpenAlex, Ioannis Kosmidis has authored 40 papers receiving a total of 671 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Statistics and Probability, 10 papers in Economics and Econometrics and 6 papers in Artificial Intelligence. Recurrent topics in Ioannis Kosmidis's work include Statistical Methods and Bayesian Inference (13 papers), Statistical Methods and Inference (11 papers) and Advanced Statistical Methods and Models (6 papers). Ioannis Kosmidis is often cited by papers focused on Statistical Methods and Bayesian Inference (13 papers), Statistical Methods and Inference (11 papers) and Advanced Statistical Methods and Models (6 papers). Ioannis Kosmidis collaborates with scholars based in United Kingdom, Greece and Italy. Ioannis Kosmidis's co-authors include David Firth, Achim Zeileis, Bettina Grün, Vassilis Mougios, Masud Husain, Vasiliki Manou, Ioanna Ioannou, Georgios Theodoridis, Νikolaos Raikos and Thomas E. Nichols and has published in prestigious journals such as SHILAP Revista de lepidopterología, NeuroImage and Biometrika.

In The Last Decade

Ioannis Kosmidis

38 papers receiving 647 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ioannis Kosmidis United Kingdom 14 203 61 57 55 53 40 671
Elisabeth Waldmann Germany 15 120 0.6× 64 1.0× 66 1.2× 73 1.3× 34 0.6× 21 763
Mikis D. Stasinopoulos United Kingdom 8 150 0.7× 59 1.0× 23 0.4× 70 1.3× 55 1.0× 14 724
Solomon W. Harrar United States 16 289 1.4× 34 0.6× 43 0.8× 84 1.5× 62 1.2× 52 907
Fernanda De Bastiani Brazil 11 191 0.9× 119 2.0× 19 0.3× 80 1.5× 83 1.6× 34 798
Juho Piironen Finland 6 158 0.8× 25 0.4× 51 0.9× 126 2.3× 45 0.8× 9 543
Angelika van der Linde Germany 10 235 1.2× 88 1.4× 29 0.5× 134 2.4× 70 1.3× 26 733
Jane‐Ling Wang United States 15 284 1.4× 49 0.8× 42 0.7× 70 1.3× 70 1.3× 18 867
Vicente Núñez‐Antón Spain 12 363 1.8× 103 1.7× 47 0.8× 71 1.3× 15 0.3× 54 1.1k
Seung‐Ho Kang South Korea 15 120 0.6× 43 0.7× 51 0.9× 106 1.9× 26 0.5× 63 627
N. C. Weber Australia 16 176 0.9× 59 1.0× 36 0.6× 89 1.6× 75 1.4× 66 948

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-authorship network of co-authors of Ioannis Kosmidis

This figure shows the co-authorship network connecting the top 25 collaborators of Ioannis Kosmidis. A scholar is included among the top collaborators of Ioannis Kosmidis 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 Ioannis Kosmidis. Ioannis Kosmidis 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
1.
2.
Kosmidis, Ioannis, et al.. (2023). Maximum softly-penalized likelihood for mixed effects logistic regression. Statistics and Computing. 33(2). 1 indexed citations
3.
Kosmidis, Ioannis, et al.. (2023). Flexible marked spatio-temporal point processes with applications to event sequences from association football. Journal of the Royal Statistical Society Series C (Applied Statistics). 72(5). 1095–1126. 2 indexed citations
4.
Δελλαπόρτας, Πέτρος, et al.. (2023). Bayesian tensor factorisations for time series of counts. Machine Learning. 113(6). 3731–3750. 1 indexed citations
5.
Kosmidis, Ioannis, et al.. (2023). Authors’ reply to the Discussion of ‘Flexible marked spatio-temporal point processes with applications to event sequences from association football’. Journal of the Royal Statistical Society Series C (Applied Statistics). 72(5). 1135–1138. 1 indexed citations
6.
Silva, Ricardo, et al.. (2021). A Bayesian approach for determining player abilities in football. UCL Discovery (University College London). 2 indexed citations
7.
Kosmidis, Ioannis, et al.. (2021). Voxel-wise and spatial modelling of binary lesion masks: Comparison of methods with a realistic simulation framework. NeuroImage. 236. 118090–118090. 1 indexed citations
8.
Bellio, Ruggero, Ioannis Kosmidis, Alessandra Salvan, & Nicola Sartori. (2021). Parametric Bootstrap Inference for Stratified Models With High-Dimensional Nuisance Specifications. Statistica Sinica.
9.
Veldsman, Michele, et al.. (2020). Spatial distribution and cognitive impact of cerebrovascular risk-related white matter hyperintensities. NeuroImage Clinical. 28. 102405–102405. 24 indexed citations
10.
Siopi, Aikaterina, Olga Deda, Vasiliki Manou, et al.. (2019). Comparison of the Serum Metabolic Fingerprint of Different Exercise Modes in Men with and without Metabolic Syndrome. Metabolites. 9(6). 116–116. 18 indexed citations
11.
Siopi, Aikaterina, Olga Deda, Vasiliki Manou, et al.. (2017). Effects of Different Exercise Modes on the Urinary Metabolic Fingerprint of Men with and without Metabolic Syndrome. Metabolites. 7(1). 5–5. 25 indexed citations
12.
Kosmidis, Ioannis, et al.. (2017). TEACHING MATHEMATICAL DISCIPLINES IN CONDITIONS OF APPLYING CLOUD TECHNOLOGIES ON THE BASIS OF LMS MOODLE. Bulletin of Krasnoyarsk State Pedagogical University named after V P Astafiev. 42(4). 58–65. 2 indexed citations
13.
Kosmidis, Ioannis, et al.. (2017). ‘Improving the accuracy of likelihood-based inference in meta-analysis and meta-regression’. Biometrika. 104(3). 751–751. 1 indexed citations
14.
Kosmidis, Ioannis, et al.. (2017). trackeR: Infrastructure for Running and Cycling Data from GPS-Enabled Tracking Devices in R. Journal of Statistical Software. 82(7). 4 indexed citations
15.
Kosmidis, Ioannis, et al.. (2016). Improved reliability of the urine lactate concentration under controlled hydration after maximal exercise. Biomarkers. 22(7). 1–7. 4 indexed citations
16.
Grün, Bettina, Ioannis Kosmidis, & Achim Zeileis. (2012). Extended Beta Regression inR: Shaken, Stirred, Mixed, and Partitioned. Journal of Statistical Software. 48(11). 145 indexed citations
17.
Kosmidis, Ioannis, et al.. (2011). Extended Beta Regression in R: Shaken, Stirred, Mixed, and Partitioned. SHILAP Revista de lepidopterología. 23 indexed citations
18.
Kosmidis, Ioannis & David Firth. (2011). Multinomial logit bias reduction via the Poisson log-linear model. Biometrika. 98(3). 755–759. 35 indexed citations
19.
Kosmidis, Ioannis & Dimitris Karlis. (2010). Supervised sampling for clustering large data sets. Warwick Research Archive Portal (University of Warwick). 1 indexed citations
20.
Kosmidis, Ioannis. (2008). The profileModel R package : profiling objectives for models with linear predictors. 1 indexed citations

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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