Ozan Öktem

1.9k total citations · 1 hit paper
45 papers, 901 citations indexed

About

Ozan Öktem is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Structural Biology. According to data from OpenAlex, Ozan Öktem has authored 45 papers receiving a total of 901 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Radiology, Nuclear Medicine and Imaging, 14 papers in Computer Vision and Pattern Recognition and 13 papers in Structural Biology. Recurrent topics in Ozan Öktem's work include Medical Imaging Techniques and Applications (16 papers), Advanced Electron Microscopy Techniques and Applications (13 papers) and Electron and X-Ray Spectroscopy Techniques (10 papers). Ozan Öktem is often cited by papers focused on Medical Imaging Techniques and Applications (16 papers), Advanced Electron Microscopy Techniques and Applications (13 papers) and Electron and X-Ray Spectroscopy Techniques (10 papers). Ozan Öktem collaborates with scholars based in Sweden, United Kingdom and Germany. Ozan Öktem's co-authors include Carola‐Bibiane Schönlieb, Simon Arridge, Peter Maaß, Hans Rullgård, Duccio Fanelli, Eric Todd Quinto, Jonas Adler, Chong Chen, Ulf Skoglund and Sebastian Lunz and has published in prestigious journals such as Proceedings of the National Academy of Sciences, IEEE Transactions on Image Processing and Nanoscale.

In The Last Decade

Ozan Öktem

42 papers receiving 865 citations

Hit Papers

Solving inverse problems using data-driven models 2019 2026 2021 2023 2019 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ozan Öktem Sweden 15 248 222 193 172 142 45 901
Singanallur Venkatakrishnan United States 14 341 1.4× 353 1.6× 99 0.5× 392 2.3× 266 1.9× 63 1.3k
Frank Wübbeling Germany 13 661 2.7× 536 2.4× 57 0.3× 162 0.9× 130 0.9× 21 1.4k
Kedar Khare India 18 273 1.1× 252 1.1× 27 0.1× 310 1.8× 65 0.5× 96 1.0k
Samuel Matej United States 21 1.5k 5.9× 527 2.4× 97 0.5× 201 1.2× 77 0.5× 94 1.7k
Jakob Sauer Jørgensen Denmark 17 490 2.0× 394 1.8× 15 0.1× 82 0.5× 182 1.3× 56 933
Alexander Katsevich United States 19 1.2k 5.0× 794 3.6× 49 0.3× 206 1.2× 57 0.4× 91 1.5k
Christoph Brüne Netherlands 15 181 0.7× 167 0.8× 15 0.1× 174 1.0× 108 0.8× 47 743
Hyungjin Chung South Korea 10 327 1.3× 126 0.6× 30 0.2× 198 1.2× 52 0.4× 19 598
Zachary T. Harmany United States 12 127 0.5× 306 1.4× 19 0.1× 224 1.3× 260 1.8× 29 785
Pierre Weiss France 17 302 1.2× 283 1.3× 14 0.1× 338 2.0× 465 3.3× 53 1.1k

Countries citing papers authored by Ozan Öktem

Since Specialization
Citations

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

Fields of papers citing papers by Ozan Öktem

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ozan Öktem. 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 Ozan Öktem. The network helps show where Ozan Öktem may publish in the future.

Co-authorship network of co-authors of Ozan Öktem

This figure shows the co-authorship network connecting the top 25 collaborators of Ozan Öktem. A scholar is included among the top collaborators of Ozan Öktem 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 Ozan Öktem. Ozan Öktem 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.
Dittmer, S., et al.. (2024). Data-Driven Convex Regularizers for Inverse Problems. 13386–13390. 3 indexed citations
2.
3.
Koehler, Thomas, et al.. (2024). 3D Helical CT Reconstruction With a Memory Efficient Learned Primal-Dual Architecture. IEEE Transactions on Computational Imaging. 10. 1414–1424. 2 indexed citations
4.
Escudero, L., Mohammad Al Sa’d, Cathal McCague, et al.. (2023). Integrating Artificial Intelligence Tools in the Clinical Research Setting: The Ovarian Cancer Use Case. Diagnostics. 13(17). 2813–2813. 2 indexed citations
5.
Öktem, Ozan, et al.. (2023). Spectral decomposition of atomic structures in heterogeneous cryo-EM. Inverse Problems. 39(3). 34003–34003. 2 indexed citations
6.
Escudero, L., Mireia Crispin‐Ortuzar, Ramona Woitek, et al.. (2023). Calibrating ensembles for scalable uncertainty quantification in deep learning-based medical image segmentation. Computers in Biology and Medicine. 163. 107096–107096. 20 indexed citations
7.
Kutyniok, Gitta, et al.. (2022). Deep microlocal reconstruction for limited-angle tomography. Applied and Computational Harmonic Analysis. 59. 155–197. 6 indexed citations
8.
Öktem, Ozan, et al.. (2022). Joint Gaussian dictionary learning and tomographic reconstruction. Inverse Problems. 38(10). 105010–105010. 1 indexed citations
9.
Hauptmann, Andreas, Jonas Adler, Simon Arridge, & Ozan Öktem. (2020). Multi-scale learned iterative reconstruction. University of Oulu Repository (University of Oulu). 9 indexed citations
10.
Kimanius, Dari, Takanori Nakane, Jonas Adler, et al.. (2020). Exploiting prior knowledge about biological macromolecules in cryo-EM structure determination. IUCrJ. 8(1). 60–75. 17 indexed citations
11.
Aghazadeh, Nasser, et al.. (2019). Joint Image Deconvolution and Separation Using Mixed Dictionaries. IEEE Transactions on Image Processing. 28(8). 3936–3945. 4 indexed citations
12.
Gris, Barbara, Chong Chen, & Ozan Öktem. (2019). Image reconstruction through metamorphosis. Inverse Problems. 36(2). 25001–25001. 9 indexed citations
13.
Tavabi, Amir H., Marco Beleggia, Vadim Migunov, et al.. (2018). Tunable Ampere phase plate for low dose imaging of biomolecular complexes. IRIS UNIMORE (University of Modena and Reggio Emilia). 11 indexed citations
14.
Aghazadeh, Nasser, et al.. (2017). Reordering for improving global Arnoldi–Tikhonov method in image restoration problems. Signal Image and Video Processing. 12(3). 497–504. 2 indexed citations
15.
Öktem, Ozan, et al.. (2016). Shape-based image reconstruction using linearized deformations. Inverse Problems. 33(3). 35004–35004. 11 indexed citations
16.
Norlén, Lars, Jamshed Anwar, & Ozan Öktem. (2014). Accessing the molecular organization of the stratum corneum using high-resolution electron microscopy and computer simulation. 289–330. 1 indexed citations
17.
Ravelli, Raimond B. G., Lucas J. van Vliet, Abraham J. Koster, et al.. (2013). Image formation modeling in cryo-electron microscopy. Journal of Structural Biology. 183(1). 19–32. 79 indexed citations
18.
Gopinath, A., Guoliang Xu, David Ress, et al.. (2012). Shape-Based Regularization of Electron Tomographic Reconstruction. IEEE Transactions on Medical Imaging. 31(12). 2241–2252. 5 indexed citations
19.
Rullgård, Hans, Lars‐Göran Öfverstedt, Sergej Masich, Bertil Daneholt, & Ozan Öktem. (2011). Simulation of transmission electron microscope images of biological specimens. Journal of Microscopy. 243(3). 234–256. 51 indexed citations
20.
Norlén, Lars, Ozan Öktem, & Ulf Skoglund. (2009). Molecular cryo‐electron tomography of vitreous tissue sections: current challenges. Journal of Microscopy. 235(3). 293–307. 18 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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