Jordan Ott

720 citations
13 papers · 370 indexed · 1 hit paper · h-index 9

Jordan Ott

13 papers receiving 358 citations

Hit Papers

Enforcing Analytic Constraints in Neural Networks Emulati...197202120262022202450100150

Peers

Jordan Ott
Comparison fields: 5 of 88
  • Atmospheric Science 92
  • Software 19
  • Statistical and Nonlinear Physics 49
  • Global and Planetary Change 72
  • Environmental Engineering 32
Replace Jun Tao with:
Jun Tao China
Kai Zhong China
M. Shirley United States
Markus Geimer Germany
Jakob Sigurðsson Iceland
Jorge Amaya Belgium
Yunfei Du China
Hiroshi Inoue Japan
B. Cichy United States
Mike Folk United States
Jordan Ott relative to Jun Tao China Jun Tao's profile →
Citations per field
00.5×4.8×
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Citations per year

Countries citing papers authored by Jordan Ott

Since Specialization
Citations

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

Fields of papers citing papers by Jordan Ott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 19 scholars most cited alongside Jordan Ott, 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 Jordan Ott Line = papers co-authored together Jordan Ott links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 20237
2 202312
3 202214
4 20218
5 20211
6
Enforcing Analytic Constraints in Neural Networks Emulating Physical Systemsbreakdown →
2021197
7 202131
8 202023
9 20202
10 201910
11 201914
12 201820
13 201831

About Jordan Ott

Jordan Ott is a scholar working on Software, Computer Vision and Pattern Recognition, Microbiology, Artificial Intelligence and Astronomy and Astrophysics, having authored 13 papers that have together received 370 indexed citations. Recurring topics across this work include Machine Learning and Data Classification (3 papers), Advanced Image and Video Retrieval Techniques (3 papers), Software Engineering Research (2 papers), Pulsars and Gravitational Waves Research (2 papers), Gamma-ray bursts and supernovae (2 papers), Multimodal Machine Learning Applications (2 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Advanced Image Fusion Techniques (1 paper). The work is most often cited by research in Atmospheric Science (92 citations), Software (19 citations), Statistical and Nonlinear Physics (49 citations), Global and Planetary Change (72 citations) and Environmental Engineering (32 citations). Jordan Ott has collaborated with scholars based in United States and Germany. Frequent co-authors include Pierre Baldi, Michael S. Pritchard, Tom Beucler, Stephan Rasp, Pierre Gentine, Erik Linstead, Uri Maoz, Christopher A Mancuso, A. Ghosh and Lee Lindblom. Their work appears in journals such as Journal Of Big Data, Scientific Reports, Journal of Neural Engineering, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing and Physical Review Letters.

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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