Özgün Çiçek

11.4k total citations · 1 hit paper
8 papers, 760 citations indexed

About

Özgün Çiçek is a scholar working on Artificial Intelligence, Molecular Biology and Biophysics. According to data from OpenAlex, Özgün Çiçek has authored 8 papers receiving a total of 760 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Molecular Biology and 2 papers in Biophysics. Recurrent topics in Özgün Çiçek's work include Anomaly Detection Techniques and Applications (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (1 paper) and CCD and CMOS Imaging Sensors (1 paper). Özgün Çiçek is often cited by papers focused on Anomaly Detection Techniques and Applications (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (1 paper) and CCD and CMOS Imaging Sensors (1 paper). Özgün Çiçek collaborates with scholars based in Germany, United States and Switzerland. Özgün Çiçek's co-authors include Thomas Brox, Stefanie M. Brendecke, Olaf Groß, Thorsten Falk, Nora Hagemeyer, Dominic Mai, Martin Kerschensteiner, Marta Joana Costa Jordão, Eva Schramm and Dominic Grün and has published in prestigious journals such as Science, Nucleic Acids Research and Nature Communications.

In The Last Decade

Özgün Çiçek

8 papers receiving 752 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Single-cell profiling identifies myeloid cell subsets with distinct fates during neuroinflammation

2019 584 citations Marta Joana Costa Jordão, Roman Sankowski et al. Science profile →

Peers

Countries citing papers authored by Özgün Çiçek

Since Specialization

Citations

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

Fields of papers citing papers by Özgün Çiçek

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Özgün Çiçek

This figure shows the co-authorship network connecting the top 25 collaborators of Özgün Çiçek. A scholar is included among the top collaborators of Özgün Çiçek 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 Özgün Çiçek. Özgün Çiçek is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

#	Work	Indexed citations
1	Realistic Evaluation of Deep Active Learning for Image Classification and Semantic Segmentation 2025 ·International Journal of Computer Vision ·(unknown), (unknown), Özgün Çiçek, Maxim Tatarchenko, Jan Ehrhardt, (unknown), Heinz Handels, Thomas Brox	1
2	Requirements for mammalian promoters to decode transcription factor dynamics 2023 ·Nucleic Acids Research ·(unknown), Yassine Marrakchi, Özgün Çiçek, (unknown), Barbara Di Ventura	3
3	Microridge-like structures anchor motile cilia 2022 ·Nature Communications ·Takayuki Yasunaga, (unknown), (unknown), Martin Helmstädter, Daniel Epting, (unknown), Özgün Çiçek, Gerald Radziwill, Christina Engel, Thomas Brox, Olaf Ronneberger, Peter Walentek, Maximilian H. Ulbrich, Gerd Walz	16
4	Deep learning is widely applicable to phenotyping embryonic development and disease 2021 ·Development ·Thomas Naert, Özgün Çiçek, (unknown), (unknown), (unknown), Michael M. Kaminski, Yuxiao Xu, (unknown), (unknown), (unknown), Friedhelm Hildebrandt, Thomas Brox, Olaf Ronneberger, Fabian F. Voigt, Fritjof Helmchen, Johannes Loffing, Marko E. Horb, Helen Rankin Willsey, Soeren S. Lienkamp	21
5	On Exposing the Challenging Long Tail in Future Prediction of Traffic Actors 2021 ·2021 IEEE/CVF International Conference on Computer Vision (ICCV) ·Osama Makansi, Özgün Çiçek, Yassine Marrakchi, Thomas Brox	29
6	Overcoming Limitations of Mixture Density Networks: A Sampling and Fitting Framework for Multimodal Future Prediction 2019 ·arXiv (Cornell University) ·Osama Makansi, Eddy Ilg, Özgün Çiçek, Thomas Brox	103
7	Single-cell profiling identifies myeloid cell subsets with distinct fates during neuroinflammation breakdown → 2019 ·Science ·Marta Joana Costa Jordão, Roman Sankowski, Stefanie M. Brendecke, Sagar Sagar, Giuseppe Locatelli, (unknown), Tuan Leng Tay, Eva Schramm, (unknown), Nora Hagemeyer, Olaf Groß, Dominic Mai, Özgün Çiçek, Thorsten Falk, Martin Kerschensteiner, Dominic Grün, Marco Prinz	584
8	Uncertainty Estimates for Optical Flow with Multi-Hypotheses Networks 2018 ·arXiv (Cornell University) ·Eddy Ilg, Özgün Çiçek, (unknown), Aaron Klein, Osama Makansi, Frank Hutter, Thomas Brox	3

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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