Dan Cireşan

14.9k citations

19 papers · 7.8k indexed · 7 hit papers · h-index 15

Impact in

Computer Vision and Pattern Recognition top 0.1%
- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Digital Imaging for Blood Diseases
- Handwritten Text Recognition Techniques
Media Technology top 0.2%
- Vehicle License Plate Recognition

Papers in

Structural Biology 2
Human-Computer Interaction 5
- Hand Gesture Recognition Systems 4

Co-authors: Jürgen Schmidhuber Ueli Meier Luca Maria Gambardella Alessandro Giusti Jonathan Masci Gianni A. Di Gabriel Fricout Farrukh Nagi
Journals: Neural Networks (1 paper)IEEE Robotics and Automation Letters (1 paper)Lecture notes in computer science (2 papers)Zenodo (CERN European Organization for Nuclear Research) (1 paper)Neural Information Processing Systems (1 paper)
Partner nations: Switzerland Romania United States

In The Last Decade

Dan Cireşan

19 papers receiving 7.5k citations

Hit Papers

7 papers align trajectories log scale

A Machine Learning Approach to Visual Perception of Forest Trails for Mobile Robots 2015 · 414 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2015 IEEE Robotics and Automation Letters
2013 Lecture notes in computer science
2012 Neural Networks
2012 Neural Information Processing Systems
2012 Multi-column deep neural networks for image classification
2011 International Joint Conference on Artificial Intelligence
2011 Infoscience (Ecole Polytechnique Fédérale de Lausanne)

Peers

Countries citing papers authored by Dan Cireşan

Since Specialization

Citations

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

Fields of papers citing papers by Dan Cireşan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Dan Cireşan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Dan Cireşan Line = papers co-authored together Dan Cireşan links everyone, so they are left out of the graph.

All Works

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19 of 19 papers shown

#	Work
1	A security analysis of automated chinese turing tests ePrints Soton (University of Southampton) ·Gaelle Lavielle, Dan Cireşan, Beibei Liu, Jeff Yan	2016	16
2	Multi-Column Deep Neural Networks for offline handwritten Chinese character classification Dan Cireşan, Ueli Meier	2015	112
3	Efficient Classifier Training to Minimize False Merges in Electron Microscopy Segmentation Toufiq Parag, Dan Cireşan, Alessandro Giusti	2015	6
4	A Machine Learning Approach to Visual Perception of Forest Trails for Mobile Robots IEEE Robotics and Automation Letters ·Alessandro Giusti, Jérôme Guzzi, Dan Cireşan, B.F. Hutton, J. Rodriguez, Flavio Fontana, Matthias Faessler, Christian Förster, Jürgen Schmidhuber, Gianni A. Di, Davide Scaramuzza, Luca Maria Gambardella Hit paper breakdown →	2015	414
5	A comparison of algorithms and humans for mitosis detection Alessandro Giusti, 利子山中, Dan Cireşan, Jürgen Schmidhuber, Luca Maria Gambardella	2014	16
6	Candidate Sampling for Neuron Reconstruction from Anisotropic Electron Microscopy Volumes Lecture notes in computer science ·Jan Funke, Julien Martel, Stephan Gerhard, Bjoern Andres, Dan Cireşan, Alessandro Giusti, Luca Maria Gambardella, Jürgen Schmidhuber, Hanspeter Pfister, Albert Cardona, Matthew Cook	2014	9
7	Mitosis Detection in Breast Cancer Histology Images with Deep Neural Networks Lecture notes in computer science ·Dan Cireşan, Alessandro Giusti, Luca Maria Gambardella, Jürgen Schmidhuber Hit paper breakdown →	2013	1029
8	Fast image scanning with deep max-pooling convolutional neural networks Alessandro Giusti, Dan Cireşan, Jonathan Masci, Luca Maria Gambardella, Jürgen Schmidhuber	2013	199
9	A fast learning algorithm for image segmentation with max-pooling convolutional networks Jonathan Masci, Alessandro Giusti, Dan Cireşan, Gabriel Fricout, Jürgen Schmidhuber	2013	42
10	Deep Neural Networks Segment Neuronal Membranes in Electron Microscopy Images Neural Information Processing Systems ·Dan Cireşan, Alessandro Giusti, Luca Maria Gambardella, Jürgen Schmidhuber Hit paper breakdown →	2012	866
11	Multi-column deep neural network for traffic sign classification Neural Networks ·Dan Cireşan, Ueli Meier, Jonathan Masci, Jürgen Schmidhuber Hit paper breakdown →	2012	691
12	Transfer learning for Latin and Chinese characters with Deep Neural Networks Dan Cireşan, Ueli Meier, Jürgen Schmidhuber	2012	140
13	Multi-column deep neural networks for image classification Dan Cireşan, Ueli Meier, Jürgen Schmidhuber Hit paper breakdown →	2012	2529
14	Steel defect classification with Max-Pooling Convolutional Neural Networks Zenodo (CERN European Organization for Nuclear Research) ·Jonathan Masci, Ueli Meier, Dan Cireşan, Jürgen Schmidhuber, Gabriel Fricout	2012	241
15	Flexible, high performance convolutional neural networks for image classification International Joint Conference on Artificial Intelligence ·Dan Cireşan, Ueli Meier, Jonathan Masci, Luca Maria Gambardella, Jürgen Schmidhuber Hit paper breakdown →	2011	812
16	Max-pooling convolutional neural networks for vision-based hand gesture recognition Infoscience (Ecole Polytechnique Fédérale de Lausanne) ·Jawad Nagi, Frederick Ducatelle, Gianni A. Di, Dan Cireşan, Ueli Meier, Alessandro Giusti, Farrukh Nagi, Jürgen Schmidhuber, Luca Maria Gambardella Hit paper breakdown →	2011	450
17	A committee of neural networks for traffic sign classification Dan Cireşan, Ueli Meier, Jonathan Masci, Jürgen Schmidhuber	2011	263
18	Off-line recognition of handwritten numeral strings composed from two-digits partially overlapped using Convolutional Neural Networks Dan Cireşan, Dan Pescaru	2008	3
19	Avoiding Segmentation in Multi-Digit Numeral String Recognition by Combining Single and Two-Digit Classifiers Trained without Negative Examples Dan Cireşan	2008	10

About Dan Cireşan

Dan Cireşan is a scholar working on Structural Biology, Human-Computer Interaction, Computer Vision and Pattern Recognition, Biophysics and Surfaces, Coatings and Films, having authored 19 papers that have together received 7.8k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (6 papers), Handwritten Text Recognition Techniques (5 papers), Hand Gesture Recognition Systems (4 papers), Advanced Image and Video Retrieval Techniques (3 papers), Domain Adaptation and Few-Shot Learning (3 papers), AI in cancer detection (2 papers), Electron and X-Ray Spectroscopy Techniques (2 papers) and Image Processing and 3D Reconstruction (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (3.9k citations), Media Technology (920 citations), Artificial Intelligence (2.9k citations), Biophysics (435 citations) and Human-Computer Interaction (341 citations). Dan Cireşan has collaborated with scholars based in Switzerland, Romania and United States. Frequent co-authors include Jürgen Schmidhuber, Ueli Meier, Luca Maria Gambardella, Alessandro Giusti, Jonathan Masci, Gianni A. Di, Gabriel Fricout, Farrukh Nagi, Frederick Ducatelle and Jawad Nagi. Their work appears in journals such as Neural Networks, IEEE Robotics and Automation Letters, Lecture notes in computer science, Zenodo (CERN European Organization for Nuclear Research) and Neural Information Processing Systems.

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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