Panayiotis Bozanis

793 total citations
55 papers, 454 citations indexed

About

Panayiotis Bozanis is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Panayiotis Bozanis has authored 55 papers receiving a total of 454 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 19 papers in Computer Networks and Communications and 19 papers in Information Systems. Recurrent topics in Panayiotis Bozanis's work include Data Management and Algorithms (15 papers), Advanced Data Storage Technologies (9 papers) and Algorithms and Data Compression (9 papers). Panayiotis Bozanis is often cited by papers focused on Data Management and Algorithms (15 papers), Advanced Data Storage Technologies (9 papers) and Algorithms and Data Compression (9 papers). Panayiotis Bozanis collaborates with scholars based in Greece, United States and Cyprus. Panayiotis Bozanis's co-authors include Leonidas Akritidis, Dimitrios Katsaros, Athanasios Fevgas, Yannis Manolopoulos, Stamatia Bibi, Miltiadis Alamaniotis, Elias N. Houstis, Lefteri H. Tsoukalas, Vassilios S. Verykios and Christos Makris and has published in prestigious journals such as Expert Systems with Applications, Information Sciences and Scientometrics.

In The Last Decade

Panayiotis Bozanis

51 papers receiving 426 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Panayiotis Bozanis Greece 12 156 144 136 99 70 55 454
Mi-Yen Yeh Taiwan 15 288 1.8× 123 0.9× 124 0.9× 149 1.5× 128 1.8× 45 597
Dimitris Sacharidis Greece 15 248 1.6× 333 2.3× 222 1.6× 247 2.5× 30 0.4× 66 675
Tanveer A. Faruquie India 15 340 2.2× 183 1.3× 93 0.7× 110 1.1× 97 1.4× 47 585
Vikram Pudi India 13 368 2.4× 268 1.9× 41 0.3× 81 0.8× 35 0.5× 54 587
Yongzheng Zhang China 12 290 1.9× 183 1.3× 216 1.6× 108 1.1× 53 0.8× 26 500
Byron J. Gao United States 12 284 1.8× 198 1.4× 96 0.7× 100 1.0× 61 0.9× 46 479
Igor V. Cadez United States 6 231 1.5× 221 1.5× 67 0.5× 174 1.8× 51 0.7× 12 495
Zhong Chen China 11 222 1.4× 457 3.2× 164 1.2× 112 1.1× 12 0.2× 43 559
Abolfazl Asudeh United States 15 330 2.1× 65 0.5× 85 0.6× 105 1.1× 19 0.3× 51 522

Countries citing papers authored by Panayiotis Bozanis

Since Specialization
Citations

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

Fields of papers citing papers by Panayiotis Bozanis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Panayiotis Bozanis

This figure shows the co-authorship network connecting the top 25 collaborators of Panayiotis Bozanis. A scholar is included among the top collaborators of Panayiotis Bozanis 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 Panayiotis Bozanis. Panayiotis Bozanis 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.
Akritidis, Leonidas & Panayiotis Bozanis. (2024). A clustering-based resampling technique with cluster structure analysis for software defect detection in imbalanced datasets. Information Sciences. 674. 120724–120724. 5 indexed citations
2.
Akritidis, Leonidas, et al.. (2024). Effective Early Polyp Detection from Medical Images with YOLO-V7. 1–7. 1 indexed citations
3.
Akritidis, Leonidas, Miltiadis Alamaniotis, & Panayiotis Bozanis. (2023). FLAGR: A flexible high-performance library for rank aggregation. SoftwareX. 21. 101319–101319. 4 indexed citations
4.
Akritidis, Leonidas & Panayiotis Bozanis. (2022). Lifting the Curse: Exploring Dimensionality Reduction on Text Clustering Applications. 14. 1–8.
5.
Fevgas, Athanasios, et al.. (2021). HyR-tree: a spatial index for hybrid flash/3D XPoint storage. Neural Computing and Applications. 35(1). 133–145. 5 indexed citations
6.
Akritidis, Leonidas, Athanasios Fevgas, Panayiotis Bozanis, & Christos Makris. (2020). A self-verifying clustering approach to unsupervised matching of product titles. Artificial Intelligence Review. 53(7). 4777–4820. 8 indexed citations
7.
Akritidis, Leonidas, Miltiadis Alamaniotis, Athanasios Fevgas, & Panayiotis Bozanis. (2020). Confronting Sparseness and High Dimensionality in Short Text Clustering via Feature Vector Projections. University of Thessaly Institutional Repository (University of Thessaly). 813–820. 4 indexed citations
8.
Akritidis, Leonidas & Panayiotis Bozanis. (2018). Effective Unsupervised Matching of Product Titles with k-Combinations and Permutations. University of Thessaly Institutional Repository (University of Thessaly). 1–10. 8 indexed citations
9.
Akritidis, Leonidas, Athanasios Fevgas, & Panayiotis Bozanis. (2018). Effective Products Categorization with Importance Scores and Morphological Analysis of the Titles. University of Thessaly Institutional Repository (University of Thessaly). 213–220. 5 indexed citations
10.
Alamaniotis, Miltiadis, et al.. (2016). An internet of things architecture for preserving privacy of energy consumption. University of Thessaly Institutional Repository (University of Thessaly). 107 (7 .)–107 (7 .). 23 indexed citations
11.
Fevgas, Athanasios, et al.. (2015). Efficient solution of large sparse linear systems in modern hardware. University of Thessaly Institutional Repository (University of Thessaly). i. 1–6. 1 indexed citations
12.
Fevgas, Athanasios, et al.. (2014). The iMuse Virtual Museum: towards a cultural education platform. University of Thessaly Institutional Repository (University of Thessaly). 4. 171–175. 12 indexed citations
13.
Akritidis, Leonidas & Panayiotis Bozanis. (2013). Improving opinionated blog retrieval effectiveness with quality measures and temporal features. World Wide Web. 17(4). 777–798. 6 indexed citations
14.
Akritidis, Leonidas & Panayiotis Bozanis. (2013). A supervised machine learning classification algorithm for research articles. University of Thessaly Institutional Repository (University of Thessaly). 115–120. 12 indexed citations
15.
Akritidis, Leonidas, Dimitrios Katsaros, & Panayiotis Bozanis. (2011). Improved retrieval effectiveness by efficient combination of term proximity and zone scoring: A simulation-based evaluation. Simulation Modelling Practice and Theory. 22. 74–91. 5 indexed citations
16.
Fevgas, Athanasios, et al.. (2010). A Platform for Delivering Multimedia Presentations on Cultural Heritage. University of Thessaly Institutional Repository (University of Thessaly). 2 indexed citations
17.
Bozanis, Panayiotis, et al.. (2007). WeR-trees. Data & Knowledge Engineering. 63(2). 397–413. 7 indexed citations
18.
Bozanis, Panayiotis & Elias N. Houstis. (2005). Advances in informatics : 10th Panhellenic Conference on Informatics, PCI 2005, Volos, Greece, November 11-13, 2005 : proceedings. Springer eBooks. 2 indexed citations
19.
Nanopoulos, A., et al.. (2004). Merging R-trees. 141–150. 1 indexed citations
20.
Bozanis, Panayiotis. (1996). Red-Blue Intersection Reporting for Objects of Non-Constant Size. The Computer Journal. 39(6). 541–546. 6 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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