ProfessorsProfessors of Uppsala UniversitetRaazesh Sainudiin

Raazesh Sainudiin

Uppsala Universitet

H-index: 17

Europe-Sweden

About Raazesh Sainudiin

Raazesh Sainudiin, With an exceptional h-index of 17 and a recent h-index of 11 (since 2020), a distinguished researcher at Uppsala Universitet, specializes in the field of Computational Statistics, Computational Mathematics, Statistical Genetics, Data Science.

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

Sparks in the Dark

Statistical Hypothesis Testing and Modelling of Peoples’ Power: A Causal Study of the# BlackLivesMatter Movement via Hawkes Processes on Social and Mass Media

Docentföreläsning: Hur är vi besläktade? Enkla modeller över vårt genetiska ursprung

Docenturföreläsning: Hur är vi besläktade i tid och rum? Enkla modeller över vårt ursprung

Distributed training and scalability for the particle clustering method UCluster

Detecting Slag Formations with Deep Convolutional Neural Networks

Scalable Multivariate Histograms

Swapping trajectories with a sufficient sanitizer

Raazesh Sainudiin Information

University	Uppsala Universitet
Position	Department of Mathematics
Citations(all)	1199
Citations(since 2020)	505
Cited By	920
hIndex(all)	17
hIndex(since 2020)	11
i10Index(all)	29
i10Index(since 2020)	12
Email	Access Email
University Profile Page	Uppsala Universitet
Google Scholar	View Google Scholar Profile

Raazesh Sainudiin Skills & Research Interests

Computational Statistics

Computational Mathematics

Statistical Genetics

Data Science

Top articles of Raazesh Sainudiin

Title	Journal	Author(s)	Publication Date
Sparks in the Dark	arXiv preprint arXiv:2404.04138	Olga Sunneborn Gudnadottir Axel Gallén Giulia Ripellino Jochen Jens Heinrich Raazesh Sainudiin ...	2024/4/5
Statistical Hypothesis Testing and Modelling of Peoples’ Power: A Causal Study of the# BlackLivesMatter Movement via Hawkes Processes on Social and Mass Media		Alfred Lindström Simon Lindgren Raazesh Sainudiin	2023/11/29
Docentföreläsning: Hur är vi besläktade? Enkla modeller över vårt genetiska ursprung		Raazesh Sainudiin	2022/10/7
Docenturföreläsning: Hur är vi besläktade i tid och rum? Enkla modeller över vårt ursprung		Raazesh Sainudiin	2022/5/31
Distributed training and scalability for the particle clustering method UCluster	EPJ Web of Conferences	Olga Sunneborn Gudnadottir Daniel Gedon Colin Desmarais Karl Bengtsson Bernander Raazesh Sainudiin ...	2021
Detecting Slag Formations with Deep Convolutional Neural Networks		Christian von Koch William Anzén Max Fischer Raazesh Sainudiin	2021/9/28
Scalable Multivariate Histograms	arXiv preprint arXiv:2012.14847	Raazesh Sainudiin Warwick Tucker Tilo Wiklund	2020/12/29
Swapping trajectories with a sufficient sanitizer	Pattern Recognition Letters, 2020, 131 ()	Julián Salas Piñón David Megias Vicenç Torra Marina Toger Joel Dahne ...	2020/3/2