George A. Papakostas

5.3k total citations · 1 hit paper
206 papers, 3.1k citations indexed

About

George A. Papakostas is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Plant Science. According to data from OpenAlex, George A. Papakostas has authored 206 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Computer Vision and Pattern Recognition, 59 papers in Artificial Intelligence and 23 papers in Plant Science. Recurrent topics in George A. Papakostas's work include Image Retrieval and Classification Techniques (27 papers), Smart Agriculture and AI (21 papers) and Advanced Image and Video Retrieval Techniques (17 papers). George A. Papakostas is often cited by papers focused on Image Retrieval and Classification Techniques (27 papers), Smart Agriculture and AI (21 papers) and Advanced Image and Video Retrieval Techniques (17 papers). George A. Papakostas collaborates with scholars based in Greece, Sweden and United States. George A. Papakostas's co-authors include Vassilis G. Kaburlasos, Dimitrios E. Koulouriotis, Εleni Vrochidou, Evangelos Karakasis, Anestis G. Hatzimichailidis, Vassilios D. Tourassis, Yiannis S. Boutalis, B.G. Mertzios, Efstratios Tsougenis and Theodore Pachidis and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and IEEE Transactions on Image Processing.

In The Last Decade

George A. Papakostas

188 papers receiving 3.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Multi-Class Classification of Plant Leaf Diseases Using Feature Fusion of Deep Convolutional Neural Network and Local Binary Pattern

2023 76 citations Khalid M. Hosny, Εleni Vrochidou et al. IEEE Access profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
George A. Papakostas Greece	31	1.2k	874	411	410	229	206	3.1k
Chee Seng Chan Malaysia	31	1.6k 1.4×	1.0k 1.2×	74 0.2×	440 1.1×	300 1.3×	141	3.5k
Lenan Wu China	35	1.2k 1.0×	1.4k 1.7×	260 0.6×	218 0.5×	261 1.1×	244	5.2k
Hujun Yin United Kingdom	27	1.0k 0.9×	948 1.1×	109 0.3×	196 0.5×	246 1.1×	164	2.5k
Hari Mohan Pandey United Kingdom	31	909 0.8×	923 1.1×	91 0.2×	239 0.6×	170 0.7×	113	3.1k
Marco Wiering Netherlands	31	720 0.6×	1.3k 1.5×	165 0.4×	110 0.3×	179 0.8×	135	3.3k
Chiranjib Bhattacharyya India	20	973 0.8×	1.6k 1.9×	188 0.5×	37 0.1×	74 0.3×	90	3.4k
Jamil Ahmad Pakistan	29	2.1k 1.8×	919 1.1×	104 0.3×	166 0.4×	111 0.5×	109	4.1k
Brijesh Verma Australia	29	1.4k 1.2×	1.3k 1.5×	49 0.1×	203 0.5×	359 1.6×	204	2.8k
Jie Shao China	36	2.3k 1.9×	1.6k 1.9×	109 0.3×	251 0.6×	371 1.6×	330	4.8k

Countries citing papers authored by George A. Papakostas

Since Specialization

Citations

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

Fields of papers citing papers by George A. Papakostas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by George A. Papakostas. 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 George A. Papakostas. The network helps show where George A. Papakostas may publish in the future.

Co-authorship network of co-authors of George A. Papakostas

This figure shows the co-authorship network connecting the top 25 collaborators of George A. Papakostas. A scholar is included among the top collaborators of George A. Papakostas 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 George A. Papakostas. George A. Papakostas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Kalampokas, Τheofanis, et al.. (2025). A vision-based pruning algorithm for cherry tree structure elements segmentation and exact pruning points determination. Computers and Electronics in Agriculture. 237. 110735–110735.

Yue, Zongliang, et al.. (2025). Advanced Graph–Physics Hybrid Framework (AGPHF) for Holistic Integration of AI-Driven Graph- and Physics- Methodologies to Promote Resilient Wastewater Management in Dynamic Real-World Conditions. Applied Sciences. 15(18). 9905–9905.

Vrochidou, Εleni, et al.. (2025). Time–Frequency Transformations for Enhanced Biomedical Signal Classification with Convolutional Neural Networks. BioMedInformatics. 5(1). 7–7. 1 indexed citations

Yue, Zongliang, et al.. (2025). Coral Reef Calculus: Nature’s Equation for Pollution Control. Water. 17(8). 1210–1210. 1 indexed citations

Yue, Zongliang, et al.. (2025). Multi-Agentic Water Health Surveillance. Water. 17(17). 2653–2653.

Yue, Zongliang, et al.. (2025). Biomimicry-Inspired Automated Machine Learning Fit-for-Purpose Wastewater Treatment for Sustainable Water Reuse. Water. 17(9). 1395–1395. 7 indexed citations

Papakostas, George A., et al.. (2024). Evaluating the Reliability of Artificial Intelligence in Healthcare: The Doctors’ Perspective in Northern Greece. 1–6.

Kanakaris, Venetis, et al.. (2024). Computer vision meets metaverse. 5(1). 2464–2464. 1 indexed citations

Kalampokas, Τheofanis, et al.. (2023). A Holistic Approach on Airfare Price Prediction Using Machine Learning Techniques. IEEE Access. 11. 46627–46643. 5 indexed citations

10.

Gabr, Mohamed, Rimon Elias, Khalid M. Hosny, George A. Papakostas, & Wassim Alexan. (2023). Image Encryption via Base-n PRNGs and Parallel Base-n S-Boxes. IEEE Access. 11. 85002–85030. 49 indexed citations

11.

Boutalis, Yiannis S., et al.. (2023). Fuzzy Cognitive Networks in Diverse Applications Using Hybrid Representative Structures. International Journal of Fuzzy Systems. 25(7). 2534–2554. 10 indexed citations

12.

Kalampokas, Τheofanis, George A. Papakostas, Vassilios Chatzis, & Stelios Krinidis. (2022). Performance Benchmarking of Visual Human Tracking Algorithms for UAVs. 1–7. 1 indexed citations

13.

Kaburlasos, Vassilis G., Chris Lytridis, Εleni Vrochidou, et al.. (2021). Granule-Based-Classifier (GbC): A Lattice Computing Scheme Applied on Tree Data Structures. Mathematics. 9(22). 2889–2889. 6 indexed citations

14.

Papakostas, George A., et al.. (2021). Computer Vision for Fire Detection on UAVs—From Software to Hardware. Future Internet. 13(8). 200–200. 30 indexed citations

15.

Vrochidou, Εleni, et al.. (2020). Fuzzy Lattice Reasoning for Brain Signal Classification.. JUCS - Journal of Universal Computer Science. 26. 1175–1195. 2 indexed citations

16.

Kaburlasos, Vassilis G., et al.. (2018). Linguistic Social Robot Control by Crowd-Computing Feedback. The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec). 2018(0). 1A1–B13. 1 indexed citations

17.

Papakostas, George A., et al.. (2018). Social Robots in Special Education: Current Status and Future Challenges. The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec). 2018(0). 1P1–A15. 4 indexed citations

18.

Kaburlasos, Vassilis G., et al.. (2013). Intervals' Numbers (INs) interpolation/extrapolation. 1–8. 16 indexed citations

19.

Hatzimichailidis, Anestis G., George A. Papakostas, George A. Papakostas, Vassilis G. Kaburlasos, & Vassilis G. Kaburlasos. (2012). A novel distance measure of intuitionistic fuzzy sets and its application to pattern recognition problems. International Journal of Intelligent Systems. 27(4). 396–409. 141 indexed citations

20.

Papakostas, George A., B.G. Mertzios, & D.A. Karras. (2009). Performance of the Orthogonal Moments in Reconstructing Biomedical Images. 1–4. 4 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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