Nikos Tsiknakis
- Radiology, Nuclear Medicine and Imaging top 5%
- Ophthalmology top 5%
- Artificial Intelligence
- Computer Vision and Pattern Recognition top 10%
- Health Information Management top 5%
- Co-authors
- Kostas MariasGeorgios C. ManikisEmmanouil KtistakisDimitris TheodoropoulosDimitrios I. FotiadisFábio ScarpaNickolas PapanikolaouGeorgios Z. Papadakis
- Topics
- Radiomics and Machine Learning in Medical Imaging (8 papers)AI in cancer detection (5 papers)Retinal Imaging and Analysis (3 papers)
In The Last Decade
Nikos Tsiknakis
19 papers receiving 325 citations
Hit Papers
Peers
Comparison fields: 5 of 61
- Radiology, Nuclear Medicine and Imaging 260
- Ophthalmology 105
- Artificial Intelligence 84
- Computer Vision and Pattern Recognition 71
- Health Information Management 63
Countries citing papers authored by Nikos Tsiknakis
This map shows the geographic impact of Nikos Tsiknakis'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 Tsiknakis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nikos Tsiknakis more than expected).
Fields of papers citing papers by Nikos Tsiknakis
This network shows the impact of papers produced by Nikos Tsiknakis. 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 Tsiknakis. The network helps show where Nikos Tsiknakis may publish in the future.
Co-authorship network of co-authors of Nikos Tsiknakis
This figure shows the co-authorship network connecting the top 25 collaborators of Nikos Tsiknakis. A scholar is included among the top collaborators of Nikos Tsiknakis 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 Tsiknakis. Nikos Tsiknakis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 3 | |
| 7 | 6 | |
| 8 | 1 | |
| 9 | 0 | |
| 10 | 1 | |
| 11 | 0 | |
| 12 | 1 | |
| 13 | 2 | |
| 14 | 14 | |
| 15 | 15 | |
| 16 | 16 | |
| 17 | 2 | |
| 18 | Deep learning for diabetic retinopathy detection and classification based on fundus images: A reviewbreakdown → | 176 |
| 19 | 3 | |
| 20 | 7 |
About Nikos Tsiknakis
Nikos Tsiknakis is a scholar working on Radiology, Nuclear Medicine and Imaging, Ophthalmology and Cancer Research, having authored 23 papers that have together received 342 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (8 papers), AI in cancer detection (5 papers) and Retinal Imaging and Analysis (3 papers). The work is most often cited by research in Health Informatics (31 citations), Health Information Management (63 citations) and Ophthalmology (105 citations). Nikos Tsiknakis has collaborated with scholars based in Greece, Sweden and Italy. Frequent co-authors include Kostas Marias, Georgios C. Manikis, Emmanouil Ktistakis, Dimitris Theodoropoulos, Dimitrios I. Fotiadis, Fábio Scarpa, Nickolas Papanikolaou, Georgios Z. Papadakis, Demetrios�� Spandidos and Evangelia E. Vassalou. Their work appears in journals such as Scientific Reports, Clinical Cancer Research and Cancers.
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.