Nikos Papamarkos
- Computer Vision and Pattern Recognition top 1%
- Media Technology top 2%
- Artificial Intelligence top 10%
- Human-Computer Interaction top 10%
- Aerospace Engineering
- Co-authors
- Konstantinos ZagorisErgina KavallieratouSavvas A. ChatzichristofisYiannis S. BoutalisMichail MakridisBasilis GatosNikolaos StamatopoulosNikolaos Mitianoudis
- Topics
- Image Retrieval and Classification Techniques (25 papers)Handwritten Text Recognition Techniques (17 papers)Advanced Image and Video Retrieval Techniques (13 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceExpert Systems with ApplicationsPattern Recognition
- Partner nations
- GreeceUnited KingdomUnited States
In The Last Decade
Nikos Papamarkos
39 papers receiving 689 citations
Peers
Comparison fields: 5 of 84
- Computer Vision and Pattern Recognition 670
- Media Technology 162
- Artificial Intelligence 104
- Human-Computer Interaction 53
- Aerospace Engineering 29
Countries citing papers authored by Nikos Papamarkos
This map shows the geographic impact of Nikos Papamarkos'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 Nikos Papamarkos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nikos Papamarkos more than expected).
Fields of papers citing papers by Nikos Papamarkos
This network shows the impact of papers produced by Nikos Papamarkos. 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 Nikos Papamarkos. The network helps show where Nikos Papamarkos may publish in the future.
Co-authorship network of co-authors of Nikos Papamarkos
This figure shows the co-authorship network connecting the top 25 collaborators of Nikos Papamarkos. A scholar is included among the top collaborators of Nikos Papamarkos 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 Nikos Papamarkos. Nikos Papamarkos is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | A novel image sharpening technique based on 2D-DWT and image fusion | 0 |
| 3 | 37 | |
| 4 | 2 | |
| 5 | 31 | |
| 6 | 4 | |
| 7 | 19 | |
| 8 | 24 | |
| 9 | 13 | |
| 10 | 79 | |
| 11 | 53 | |
| 12 | 25 | |
| 13 | 36 | |
| 14 | 0 | |
| 15 | 1 | |
| 16 | 2 | |
| 17 | 35 | |
| 18 | 36 | |
| 19 | 25 | |
| 20 | 2 |
About Nikos Papamarkos
Nikos Papamarkos is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Numerical Analysis, having authored 42 papers that have together received 758 indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (25 papers), Handwritten Text Recognition Techniques (17 papers) and Advanced Image and Video Retrieval Techniques (13 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (670 citations), Media Technology (162 citations) and Human-Computer Interaction (53 citations). Nikos Papamarkos has collaborated with scholars based in Greece, United Kingdom and United States. Frequent co-authors include Konstantinos Zagoris, Ergina Kavallieratou, Savvas A. Chatzichristofis, Yiannis S. Boutalis, Michail Makridis, Basilis Gatos, Nikolaos Stamatopoulos, Nikolaos Mitianoudis, Stavros Perantonis and Ioannis Pratikakis. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Expert Systems with Applications and Pattern Recognition.
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.