Tolga Taşdizen
- Computer Vision and Pattern Recognition top 0.5%
- Computational Mechanics top 1%
- Computer Graphics and Computer-Aided Design top 0.5%
- Artificial Intelligence top 2%
- Biophysics top 0.5%
- Co-authors
- Ross WhitakerMojtaba SeyedhosseiniMehran JavanmardiTorsten MöllerGordon KindlmannMehdi S. M. SajjadiStanley OsherPaul Burchard
- Topics
- Cell Image Analysis Techniques (38 papers)Medical Image Segmentation Techniques (30 papers)Image Retrieval and Classification Techniques (15 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Pattern Analysis and Machine IntelligenceAnalytical Chemistry
- Partner nations
- United StatesTürkiyePortugal
In The Last Decade
Tolga Taşdizen
153 papers receiving 3.7k citations
Peers
Comparison fields: 5 of 164
- Computer Vision and Pattern Recognition 1.6k
- Computational Mechanics 640
- Computer Graphics and Computer-Aided Design 563
- Artificial Intelligence 547
- Biophysics 541
Countries citing papers authored by Tolga Taşdizen
This map shows the geographic impact of Tolga Taşdizen'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 Tolga Taşdizen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tolga Taşdizen more than expected).
Fields of papers citing papers by Tolga Taşdizen
This network shows the impact of papers produced by Tolga Taşdizen. 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 Tolga Taşdizen. The network helps show where Tolga Taşdizen may publish in the future.
Co-authorship network of co-authors of Tolga Taşdizen
This figure shows the co-authorship network connecting the top 25 collaborators of Tolga Taşdizen. A scholar is included among the top collaborators of Tolga Taşdizen 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 Tolga Taşdizen. Tolga Taşdizen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 2 | |
| 3 | 8 | |
| 4 | 1 | |
| 5 | 10 | |
| 6 | 0 | |
| 7 | 2 | |
| 8 | 13 | |
| 9 | 31 | |
| 10 | 20 | |
| 11 | 58 | |
| 12 | 72 | |
| 13 | 62 | |
| 14 | 21 | |
| 15 | 30 | |
| 16 | 22 | |
| 17 | Regularization with stochastic transformations and perturbations for deep semi-supervised learning | 117 |
| 18 | The Retinal Connectome: Networks in the Amacrine Cell Layer | 1 |
| 19 | 72 | |
| 20 | 60 |
About Tolga Taşdizen
Tolga Taşdizen is a scholar working on Structural Biology, Biophysics and Computer Vision and Pattern Recognition, having authored 158 papers that have together received 3.8k indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (38 papers), Medical Image Segmentation Techniques (30 papers) and Image Retrieval and Classification Techniques (15 papers). The work is most often cited by research in Structural Biology (267 citations), Computer Graphics and Computer-Aided Design (563 citations) and Biophysics (541 citations). Tolga Taşdizen has collaborated with scholars based in United States, Türkiye and Portugal. Frequent co-authors include Ross Whitaker, Mojtaba Seyedhosseini, Mehran Javanmardi, Torsten Möller, Gordon Kindlmann, Mehdi S. M. Sajjadi, Stanley Osher, Paul Burchard, Elizabeth Jurrus and Suyash P. Awate. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Analytical Chemistry.
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.