Daniel Matolin

1.6k total citations · 1 hit paper
27 papers, 1.1k citations indexed

About

Daniel Matolin is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Aerospace Engineering. According to data from OpenAlex, Daniel Matolin has authored 27 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Electrical and Electronic Engineering, 8 papers in Cellular and Molecular Neuroscience and 7 papers in Aerospace Engineering. Recurrent topics in Daniel Matolin's work include CCD and CMOS Imaging Sensors (25 papers), Advanced Memory and Neural Computing (20 papers) and Neuroscience and Neural Engineering (7 papers). Daniel Matolin is often cited by papers focused on CCD and CMOS Imaging Sensors (25 papers), Advanced Memory and Neural Computing (20 papers) and Neuroscience and Neural Engineering (7 papers). Daniel Matolin collaborates with scholars based in Austria, Germany and France. Daniel Matolin's co-authors include C. Posch, Rainer Wohlgenannt, Martin Litzenberger, Amine Bermak, Michael Hofstätter, Pooria Mostafalu, Hayato Wakabayashi, Yusuke Oike, Peter Schön and Heinrich Garn and has published in prestigious journals such as IEEE Journal of Solid-State Circuits, IEEE Sensors Journal and IEEE Transactions on Biomedical Circuits and Systems.

In The Last Decade

Daniel Matolin

26 papers receiving 1.0k citations

Hit Papers

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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.

A QVGA 143 dB Dynamic Range Frame-Free PWM Image Sensor With Lossless Pixel-Level Video Compression and Time-Domain CDS

2010 516 citations C. Posch, Daniel Matolin et al. IEEE Journal of Solid-State Circuits profile →

Peers

Countries citing papers authored by Daniel Matolin

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Matolin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Matolin

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	5.10 A 1280×720 Back-Illuminated Stacked Temporal Contrast Event-Based Vision Sensor with 4.86µm Pixels, 1.066GEPS Readout, Programmable Event-Rate Controller and Compressive Data-Formatting Pipeline 2020 ·(unknown), (unknown), Daniel Matolin, (unknown), (unknown), (unknown), Pooria Mostafalu, (unknown), (unknown), (unknown), (unknown), Hayato Wakabayashi, Yusuke Oike, C. Posch	125
2	Live demonstration: Event-driven high-speed imaging 2014 ·Daniel Matolin, Garrick Orchard, (unknown), C. Posch	0
3	Real-time 360° panoramic views using BiCa360, the fast rotating dynamic vision sensor to up to 10 rotations per Sec 2012 ·Ahmed Nabil Belbachir, (unknown), Daniel Matolin, (unknown)	1
4	Pulse-Modulation Imaging—Review and Performance Analysis 2011 ·IEEE Transactions on Biomedical Circuits and Systems ·(unknown), Daniel Matolin, Amine Bermak, C. Posch	59
5	Sensitivity and uniformity of a 0.18µm CMOS temporal contrast pixel array 2011 ·C. Posch, Daniel Matolin	16
6	Live demonstration: Asynchronous time-based image sensor (ATIS) camera with full-custom AE processor 2010 ·C. Posch, Daniel Matolin, Rainer Wohlgenannt, Michael Hofstätter, Peter Schön, Martin Litzenberger, (unknown), Heinrich Garn	13
7	A QVGA 143 dB Dynamic Range Frame-Free PWM Image Sensor With Lossless Pixel-Level Video Compression and Time-Domain CDS breakdown → 2010 ·IEEE Journal of Solid-State Circuits ·C. Posch, Daniel Matolin, Rainer Wohlgenannt	516
8	Biomimetic frame-free HDR camera with event-driven PWM image/video sensor and full-custom address-event processor 2010 ·Zenodo (CERN European Organization for Nuclear Research) ·C. Posch, Daniel Matolin, Rainer Wohlgenannt, Michael Hofstätter, Peter Schön, Martin Litzenberger, (unknown), Heinrich Garn	4
9	A QVGA 143dB dynamic range asynchronous address-event PWM dynamic image sensor with lossless pixel-level video compression 2010 ·C. Posch, Daniel Matolin, Rainer Wohlgenannt	84
10	High-DR frame-free PWM imaging with asynchronous AER intensity encoding and focal-plane temporal redundancy suppression 2010 ·C. Posch, Daniel Matolin, Rainer Wohlgenannt	17
11	A load-balancing readout method for large event-based PWM imaging arrays 2010 ·Daniel Matolin, Rainer Wohlgenannt, Martin Litzenberger, C. Posch	8
12	A two-stage capacitive-feedback differencing amplifier for temporal contrast IR sensors 2009 ·Analog Integrated Circuits and Signal Processing ·C. Posch, Daniel Matolin, Rainer Wohlgenannt	9
13	Area and power reduction techniques for time-based image sensor pixel design 2009 ·Daniel Matolin, C. Posch, Rainer Wohlgenannt	3
14	A Microbolometer Asynchronous Dynamic Vision Sensor for LWIR 2009 ·IEEE Sensors Journal ·C. Posch, Daniel Matolin, Rainer Wohlgenannt, (unknown), Martin Litzenberger	24
15	True correlated double sampling and comparator design for time-based image sensors 2009 ·Daniel Matolin, C. Posch, Rainer Wohlgenannt	22
16	A 64×64 pixel temporal contrast microbolometer infrared sensor 2008 ·Daniel Matolin, C. Posch, Rainer Wohlgenannt, Thomas Maier	5
17	Wide dynamic range, high-speed machine vision with a 2×256 pixel temporal contrast vision sensor 2007 ·C. Posch, Michael Hofstätter, Martin Litzenberger, Daniel Matolin, (unknown), Peter Schön, Heinrich Garn	10
18	A Dual-Line Optical Transient Sensor with On-Chip Precision Time-Stamp Generation 2007 ·C. Posch, Michael Hofstätter, Daniel Matolin, (unknown), Peter Schön, (unknown), Martin Litzenberger	34
19	An Analog VLSI Pulsed Neural Network Implementation for Image Segmentation 2004 ·Daniel Matolin, (unknown), (unknown), (unknown)	7
20	Cellular pulse-coupled neural network with adaptive weights for image segmentation and its VLSI implementation 2004 ·Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE ·(unknown), Ulrich Ramacher, Arne Heittmann, Daniel Matolin, René Schüffny	6

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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