Leonidas Akritidis
- Artificial Intelligence top 10%
- Information Systems top 10%
- Statistical and Nonlinear Physics top 10%
- Computer Networks and Communications
- Statistics, Probability and Uncertainty top 10%
- Co-authors
- Panayiotis BozanisDimitrios KatsarosAthanasios FevgasYannis ManolopoulosMiltiadis AlamaniotisChristos Makris
- Topics
- Web Data Mining and Analysis (8 papers)Text and Document Classification Technologies (8 papers)Caching and Content Delivery (4 papers)
- Cited by
- Statistical and Nonlinear PhysicsInformation SystemsStatistics, Probability and Uncertainty
- Partner nations
- GreeceUnited StatesCyprus
In The Last Decade
Leonidas Akritidis
24 papers receiving 220 citations
Peers
Comparison fields: 5 of 55
- Artificial Intelligence 101
- Information Systems 92
- Statistical and Nonlinear Physics 69
- Computer Networks and Communications 38
- Statistics, Probability and Uncertainty 27
Countries citing papers authored by Leonidas Akritidis
This map shows the geographic impact of Leonidas Akritidis'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 Leonidas Akritidis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leonidas Akritidis more than expected).
Fields of papers citing papers by Leonidas Akritidis
This network shows the impact of papers produced by Leonidas Akritidis. 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 Leonidas Akritidis. The network helps show where Leonidas Akritidis may publish in the future.
Co-authorship network of co-authors of Leonidas Akritidis
This figure shows the co-authorship network connecting the top 25 collaborators of Leonidas Akritidis. A scholar is included among the top collaborators of Leonidas Akritidis 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 Leonidas Akritidis. Leonidas Akritidis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 4 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 5 | |
| 8 | 4 | |
| 9 | 8 | |
| 10 | 2 | |
| 11 | 5 | |
| 12 | 8 | |
| 13 | 5 | |
| 14 | 0 | |
| 15 | 12 | |
| 16 | 6 | |
| 17 | 3 | |
| 18 | 5 | |
| 19 | 34 | |
| 20 | 27 |
About Leonidas Akritidis
Leonidas Akritidis is a scholar working on Information Systems, Artificial Intelligence and Signal Processing, having authored 27 papers that have together received 229 indexed citations. Recurring topics across this work include Web Data Mining and Analysis (8 papers), Text and Document Classification Technologies (8 papers) and Caching and Content Delivery (4 papers). The work is most often cited by research in Statistical and Nonlinear Physics (69 citations), Information Systems (92 citations) and Statistics, Probability and Uncertainty (27 citations). Leonidas Akritidis has collaborated with scholars based in Greece, United States and Cyprus. Frequent co-authors include Panayiotis Bozanis, Dimitrios Katsaros, Athanasios Fevgas, Yannis Manolopoulos, Miltiadis Alamaniotis and Christos Makris. Their work appears in journals such as Expert Systems with Applications, Information Sciences and Scientometrics.
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.