Aris Perperoglou

1.8k total citations · 1 hit paper
37 papers, 934 citations indexed

About

Aris Perperoglou is a scholar working on Statistics and Probability, Cardiology and Cardiovascular Medicine and Orthopedics and Sports Medicine. According to data from OpenAlex, Aris Perperoglou has authored 37 papers receiving a total of 934 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Statistics and Probability, 6 papers in Cardiology and Cardiovascular Medicine and 6 papers in Orthopedics and Sports Medicine. Recurrent topics in Aris Perperoglou's work include Statistical Methods and Inference (10 papers), Statistical Methods and Bayesian Inference (7 papers) and Sports Performance and Training (6 papers). Aris Perperoglou is often cited by papers focused on Statistical Methods and Inference (10 papers), Statistical Methods and Bayesian Inference (7 papers) and Sports Performance and Training (6 papers). Aris Perperoglou collaborates with scholars based in United Kingdom, Greece and United States. Aris Perperoglou's co-authors include Michał Abrahamowicz, Willi Sauerbrei, Matthias Schmid, Marianne Huebner, Hans C. van Houwelingen, Zardad Khan, Osama Mahmoud, Berthold Lausen, Werner Adler and Asma Gul and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American College of Cardiology and PLoS ONE.

In The Last Decade

Aris Perperoglou

36 papers receiving 904 citations

Hit Papers

A review of spline function procedures in R 2019 2026 2021 2023 2019 100 200 300

Peers

Aris Perperoglou
Comparison fields: 5 of 176
  • Statistics and Probability 126
  • Cardiology and Cardiovascular Medicine 111
  • Artificial Intelligence 101
  • Surgery 92
  • Orthopedics and Sports Medicine 80
Replace Christine Wallisch with:
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Christine Wallisch Austria View profile →
Citations per field, relative to Aris Perperoglou
Aris Perperoglou · 1×
Citations per year, relative to Aris Perperoglou
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Countries citing papers authored by Aris Perperoglou

Since Specialization
Citations

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

Fields of papers citing papers by Aris Perperoglou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aris Perperoglou

This figure shows the co-authorship network connecting the top 25 collaborators of Aris Perperoglou. A scholar is included among the top collaborators of Aris Perperoglou 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 Aris Perperoglou. Aris Perperoglou 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
# Work Indexed citations
1 3
2 35
3 17
4 18
5 33
6 31
7
A review of spline function procedures in R breakdown →
338
8 25
9 54
10 77
11
An Ensemble of Optimal Trees for Classification and Regression (OTE)
1
12 32
13 1
14 2
15 13
16 2
17 17
18 29
19 28
20 34

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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