Sydney Otten

603 citations
10 papers · 275 indexed · h-index 8

Impact in

Papers in

Sydney Otten

9 papers receiving 262 citations

Peers

Sydney Otten
Comparison fields: 5 of 60
  • Energy Engineering and Power Technology 41
  • Nuclear and High Energy Physics 104
  • Astronomy and Astrophysics 41
  • Renewable Energy, Sustainability and the Environment 37
  • General Energy 2
Replace J. Samimi with:
J. Samimi Iran
Mirko Schäfer Germany
Luc Girardin Switzerland
P. Vingerhoets Belgium
D. Levitan United States
Mingping Liu China
P. Davison United Kingdom
Ady James United Kingdom
M. Javed Idrisi Ethiopia
Z. Awwad Egypt
Sydney Otten relative to J. Samimi Iran J. Samimi's profile →
Citations per field
00.5×7.6×
J. Samimi · 1×
Citations per year

Countries citing papers authored by Sydney Otten

Since Specialization
Citations

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

Fields of papers citing papers by Sydney Otten

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Sydney Otten, 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 Sydney Otten Line = papers co-authored together Sydney Otten links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2018111
2
202153
3 202127
4 202023
5 201819
6 201118
7 202114
8 20208
9
Event Generation and Statistical Sampling with Deep Generative Models and a Density Information Buffer
20192
10
Event Generation and Statistical Sampling with Deep Generative Models
20190

About Sydney Otten

Sydney Otten is a scholar working on Nuclear and High Energy Physics, Artificial Intelligence, Astronomy and Astrophysics, Computer Vision and Pattern Recognition and Automotive Engineering, having authored 10 papers that have together received 275 indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (5 papers), Computational Physics and Python Applications (4 papers), Radio Astronomy Observations and Technology (2 papers), Generative Adversarial Networks and Image Synthesis (2 papers), Dark Matter and Cosmic Phenomena (1 paper), Particle Detector Development and Performance (1 paper), Galaxies: Formation, Evolution, Phenomena (1 paper) and Superconducting and THz Device Technology (1 paper). The work is most often cited by research in Energy Engineering and Power Technology (41 citations), Nuclear and High Energy Physics (104 citations), Astronomy and Astrophysics (41 citations), Renewable Energy, Sustainability and the Environment (37 citations) and General Energy (2 citations). Sydney Otten has collaborated with scholars based in Netherlands, Spain and Germany. Frequent co-authors include Martin Robinius, Oliver Ruhnau, Aaron Praktiknjo, S. Caron, Roberto Ruiz de Austri, Melissa van Beekveld, Luc Hendriks, Caspar M. van Leeuwen, Damian Podareanu and Rob Verheyen. Their work appears in journals such as Heart, Energy, Monthly Notices of the Royal Astronomical Society, Journal of High Energy Physics and Journal of Cosmology and Astroparticle Physics.

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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