Tolga Taşdizen

6.6k total citations
158 papers, 3.8k citations indexed

About

Tolga Taşdizen is a scholar working on Computer Vision and Pattern Recognition, Biophysics and Artificial Intelligence. According to data from OpenAlex, Tolga Taşdizen has authored 158 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Computer Vision and Pattern Recognition, 38 papers in Biophysics and 29 papers in Artificial Intelligence. Recurrent topics in Tolga Taşdizen's work include Cell Image Analysis Techniques (38 papers), Medical Image Segmentation Techniques (30 papers) and Image Retrieval and Classification Techniques (15 papers). Tolga Taşdizen is often cited by papers focused on Cell Image Analysis Techniques (38 papers), Medical Image Segmentation Techniques (30 papers) and Image Retrieval and Classification Techniques (15 papers). Tolga Taşdizen collaborates with scholars based in United States, Türkiye and Portugal. Tolga Taşdizen's co-authors include Ross Whitaker, Mojtaba Seyedhosseini, Mehran Javanmardi, Gordon Kindlmann, Torsten Möller, Mehdi S. M. Sajjadi, Stanley Osher, Paul Burchard, Elizabeth Jurrus and Suyash P. Awate and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Analytical Chemistry.

In The Last Decade

Tolga Taşdizen

153 papers receiving 3.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tolga Taşdizen United States 32 1.6k 640 563 547 541 158 3.8k
Lucas J. van Vliet Netherlands 39 1.9k 1.2× 304 0.5× 107 0.2× 284 0.5× 591 1.1× 249 5.2k
Victor Lempitsky Russia 38 6.3k 4.0× 512 0.8× 495 0.9× 1.7k 3.1× 244 0.5× 74 7.9k
Thierry Blu Switzerland 30 2.9k 1.8× 1.0k 1.6× 108 0.2× 204 0.4× 205 0.4× 83 4.7k
Jos B. T. M. Roerdink Netherlands 30 1.8k 1.2× 199 0.3× 247 0.4× 391 0.7× 262 0.5× 171 4.1k
Chenyang Xu United States 15 3.7k 2.4× 415 0.6× 210 0.4× 623 1.1× 406 0.8× 50 5.1k
O. Kübler Switzerland 19 1.7k 1.1× 339 0.5× 188 0.3× 139 0.3× 127 0.2× 38 2.8k
Won‐Ki Jeong South Korea 20 682 0.4× 370 0.6× 259 0.5× 192 0.4× 191 0.4× 85 1.8k
Chris R. Johnson United States 26 1.2k 0.8× 597 0.9× 842 1.5× 342 0.6× 99 0.2× 130 3.4k
Edmund Y. Lam Hong Kong 40 3.1k 2.0× 451 0.7× 74 0.1× 393 0.7× 625 1.2× 432 6.8k
Laurent Najman France 25 2.8k 1.8× 162 0.3× 97 0.2× 693 1.3× 193 0.4× 95 4.2k

Countries citing papers authored by Tolga Taşdizen

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Nguyen, Quynh C., Tolga Taşdizen, Junaid S. Merchant, et al.. (2024). Neighborhood built environment, obesity, and diabetes: A Utah siblings study. SSM - Population Health. 26. 101670–101670. 4 indexed citations
2.
Brintz, Ben J., et al.. (2024). HistoEM: A Pathologist-Guided and Explainable Workflow Using Histogram Embedding for Gland Classification. Modern Pathology. 37(4). 100447–100447. 8 indexed citations
3.
Quistberg, D. Alex, Stephen J. Mooney, Tolga Taşdizen, Pablo Arbeláez, & Quynh C. Nguyen. (2024). Invited commentary: deep learning—methods to amplify epidemiologic data collection and analyses. American Journal of Epidemiology. 194(2). 322–326. 2 indexed citations
4.
Schroeder, Joyce, et al.. (2023). Localization supervision of chest x-ray classifiers using label-specific eye-tracking annotation. SHILAP Revista de lepidopterología. 3. 1088068–1088068. 1 indexed citations
5.
Hagen‐Zanker, Alex, et al.. (2023). Improving robustness for model discerning synthesis process of uranium oxide with unsupervised domain adaptation. SHILAP Revista de lepidopterología. 2.
6.
Bergquist, Jake, Brian Zenger, Rob MacLeod, et al.. (2023). Comparison of Machine Learning Detection of Low Left Ventricular Ejection Fraction Using Individual ECG Leads. Computing in cardiology. 50. 2 indexed citations
7.
Koppelmans, Vincent, Marit F. L. Ruitenberg, Sydney Y. Schaefer, et al.. (2023). Delayed and More Variable Unimanual and Bimanual Finger Tapping in Alzheimer’s Disease: Associations with Biomarkers and Applications for Classification. Journal of Alzheimer s Disease. 95(3). 1233–1252. 10 indexed citations
8.
Arbeláez, Pablo, Olga L. Sarmiento, Quynh Nguyen, et al.. (2022). 430 Training neural networks to identify built environment features for pedestrian safety. Abstracts. A65.2–A65. 1 indexed citations
9.
Nguyen, Quynh C., Tom Belnap, Pallavi Dwivedi, et al.. (2022). Google Street View Images as Predictors of Patient Health Outcomes, 2017–2019. Big Data and Cognitive Computing. 6(1). 15–15. 13 indexed citations
10.
Auffermann, William F., Phuong-Anh T. Duong, Vivek Srikumar, et al.. (2022). REFLACX, a dataset of reports and eye-tracking data for localization of abnormalities in chest x-rays. Scientific Data. 9(1). 350–350. 31 indexed citations
11.
Nguyen, Thu T., Quynh C. Nguyen, Anna D. Rubinsky, et al.. (2021). Google Street View-Derived Neighborhood Characteristics in California Associated with Coronary Heart Disease, Hypertension, Diabetes. International Journal of Environmental Research and Public Health. 18(19). 10428–10428. 20 indexed citations
12.
Nguyen, Quynh C., Yuru Huang, Abhinav Kumar, et al.. (2020). Using 164 Million Google Street View Images to Derive Built Environment Predictors of COVID-19 Cases. International Journal of Environmental Research and Public Health. 17(17). 6359–6359. 72 indexed citations
13.
Keralis, Jessica M., Mehran Javanmardi, Pallavi Dwivedi, et al.. (2020). Health and the built environment in United States cities: measuring associations using Google Street View-derived indicators of the built environment. BMC Public Health. 20(1). 215–215. 62 indexed citations
14.
Yu, Weijun, Jessica M. Keralis, Pallavi Dwivedi, et al.. (2020). Google Street View Derived Built Environment Indicators and Associations with State-Level Obesity, Physical Activity, and Chronic Disease Mortality in the United States. International Journal of Environmental Research and Public Health. 17(10). 3659–3659. 21 indexed citations
15.
Schwerdt, Ian J., et al.. (2018). Nuclear proliferomics: A new field of study to identify signatures of nuclear materials as demonstrated on alpha-UO3. Talanta. 186. 433–444. 30 indexed citations
16.
Sajjadi, Mehdi S. M., Mehran Javanmardi, & Tolga Taşdizen. (2016). Regularization with stochastic transformations and perturbations for deep semi-supervised learning. Neural Information Processing Systems. 29. 1171–1179. 117 indexed citations
17.
Liu, Ting, Mojtaba Seyedhosseini, & Tolga Taşdizen. (2016). Image Segmentation Using Hierarchical Merge Tree. IEEE Transactions on Image Processing. 25(10). 4596–4607. 22 indexed citations
18.
Anderson, James R., David N. Mastronarde, C.B. Watt, et al.. (2009). The Retinal Connectome: Networks in the Amacrine Cell Layer. Investigative Ophthalmology & Visual Science. 50(13). 1631–1631. 1 indexed citations
19.
Taşdizen, Tolga. (2008). Principal components for non-local means image denoising. PubMed. 2008. 1728–1731. 72 indexed citations
20.
Taşdizen, Tolga, Jean‐Philippe Tarel, & David B. Cooper. (2000). Improving the stability of algebraic curves for applications. IEEE Transactions on Image Processing. 9(3). 405–416. 60 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Lucas J. van Vliet Breakdown of academic impact, for papers by Victor Lempitsky Breakdown of academic impact, for papers by Thierry Blu Breakdown of academic impact, for papers by Jos B. T. M. Roerdink Breakdown of academic impact, for papers by Chenyang Xu Breakdown of academic impact, for papers by O. Kübler Breakdown of academic impact, for papers by Won‐Ki Jeong Breakdown of academic impact, for papers by Chris R. Johnson Breakdown of academic impact, for papers by Edmund Y. Lam Breakdown of academic impact, for papers by Laurent Najman
Rankless by CCL
2026