Aykut Argun

About Aykut Argun

Aykut Argun, With an exceptional h-index of 10 and a recent h-index of 10 (since 2020), a distinguished researcher at Göteborgs universitet, specializes in the field of Autonomous Driving, Perception, Computer Vision, LIDAR, Microscopy.

His recent articles reflect a diverse array of research interests and contributions to the field:

Destructive effect of fluctuations on the performance of a Brownian gyrator

Roadmap for optical tweezers

Playing with active matter

Simulation of Complex Systems

Objective comparison of methods to decode anomalous diffusion

Classification, inference and segmentation of anomalous diffusion with recurrent neural networks

Quantitative digital microscopy with deep learning

Enhanced force-field calibration via machine learning

Aykut Argun Information

University

Position

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Citations(all)

638

Citations(since 2020)

598

Cited By

156

hIndex(all)

10

hIndex(since 2020)

10

i10Index(all)

10

i10Index(since 2020)

10

Email

University Profile Page

Google Scholar

Aykut Argun Skills & Research Interests

Autonomous Driving

Perception

Computer Vision

LIDAR

Microscopy

Top articles of Aykut Argun

Destructive effect of fluctuations on the performance of a Brownian gyrator

Soft Matter

2024

Playing with active matter

arXiv preprint arXiv:2209.04168

2022/9/9

Simulation of Complex Systems

2017

Classification, inference and segmentation of anomalous diffusion with recurrent neural networks

Journal of Physics A: Mathematical and Theoretical

2021/6/23

Aykut Argun
Aykut Argun

H-Index: 5

Giovanni Volpe
Giovanni Volpe

H-Index: 36

Quantitative digital microscopy with deep learning

Applied Physics Reviews

2021/3/1

Enhanced force-field calibration via machine learning

Applied Physics Reviews

2020/12/1

Aykut Argun
Aykut Argun

H-Index: 5

Giovanni Volpe
Giovanni Volpe

H-Index: 36

See List of Professors in Aykut Argun University(Göteborgs universitet)

Co-Authors

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