Lasse Espeholt

7.7k citations
2 papers · 251 indexed · 1 hit paper · h-index 2
Topics
Evolutionary Algorithms and Applications (1 paper)Advanced Bandit Algorithms Research (1 paper)Meteorological Phenomena and Simulations (1 paper)
Journals
Nature CommunicationsProceedings of the AAAI Conference on Artificial Intelligence

In The Last Decade

Lasse Espeholt

2 papers receiving 244 citations

Hit Papers

Deep learning for twelve hour precipitation forecasts202220262023202420224080120

Peers

Lasse Espeholt
Comparison fields: 5 of 59
  • Artificial Intelligence 87
  • Atmospheric Science 86
  • Global and Planetary Change 74
  • Environmental Engineering 45
  • Electrical and Electronic Engineering 26
Replace Shreya Agrawal with:
Shreya Agrawal India
S. Jyothi India
Zhuobin Zheng China
Xiaochuan Tang China
David Pozo Ecuador
Eric Lyons United States
Tingting Yang China
Michael Denhard Germany
Lionel Valet France
Antonio M. Durán-Rosal Spain
Lasse Espeholt relative to Shreya Agrawal India Shreya Agrawal's profile →
Citations per field
00.5×1.5×2.1×
Shreya Agrawal · 1×
Citations per year

Countries citing papers authored by Lasse Espeholt

Since Specialization
Citations

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

Fields of papers citing papers by Lasse Espeholt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lasse Espeholt

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

All Works

2 of 2 papers shown
#WorkIndexed citations
1
Deep learning for twelve hour precipitation forecastsbreakdown →
145
2 106

About Lasse Espeholt

Lasse Espeholt is a scholar working on Management Science and Operations Research, Atmospheric Science and Global and Planetary Change, having authored 2 papers that have together received 251 indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (1 paper), Advanced Bandit Algorithms Research (1 paper) and Meteorological Phenomena and Simulations (1 paper). The work is most often cited by research in Atmospheric Science (86 citations), Global and Planetary Change (74 citations) and Environmental Engineering (45 citations). Lasse Espeholt has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include Matteo Hessel, Simon Schmitt, Hubert Soyer, Hado van Hasselt, Wojciech Marian Czarnecki, Aaron J. Bell, Jason Hickey, Manoj Kumar, Nal Kalchbrenner and Robert W. Carver. Their work appears in journals such as Nature Communications and Proceedings of the AAAI Conference on Artificial Intelligence.

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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