Jenia Jitsev
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Computational Mechanics
- Aerospace Engineering
- Electrical and Electronic Engineering
- Co-authors
- Mehdi ChertiMitchell WortsmanGabriel IlharcoChristoph SchuhmannLudwig SchmidtRomain BeaumontRoss WightmanMathis Bode
- Topics
- Neural dynamics and brain function (6 papers)Solar Thermal and Photovoltaic Systems (4 papers)Solar Radiation and Photovoltaics (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaNanoscaleSolar Energy
- Partner nations
- GermanyUnited StatesJapan
In The Last Decade
Jenia Jitsev
22 papers receiving 433 citations
Hit Papers
Peers
Comparison fields: 5 of 96
- Computer Vision and Pattern Recognition 191
- Artificial Intelligence 134
- Computational Mechanics 62
- Aerospace Engineering 30
- Electrical and Electronic Engineering 30
Countries citing papers authored by Jenia Jitsev
This map shows the geographic impact of Jenia Jitsev'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 Jenia Jitsev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jenia Jitsev more than expected).
Fields of papers citing papers by Jenia Jitsev
This network shows the impact of papers produced by Jenia Jitsev. 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 Jenia Jitsev. The network helps show where Jenia Jitsev may publish in the future.
Co-authorship network of co-authors of Jenia Jitsev
This figure shows the co-authorship network connecting the top 25 collaborators of Jenia Jitsev. A scholar is included among the top collaborators of Jenia Jitsev 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 Jenia Jitsev. Jenia Jitsev is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 3 | |
| 4 | 3 | |
| 5 | Reproducible Scaling Laws for Contrastive Language-Image Learningbreakdown → | 213 |
| 6 | 14 | |
| 7 | 23 | |
| 8 | 90 | |
| 9 | 8 | |
| 10 | 2 | |
| 11 | 9 | |
| 12 | 11 | |
| 13 | Developing Exascale Computing at JSC | 2 |
| 14 | 6 | |
| 15 | 31 | |
| 16 | 10 | |
| 17 | 1 | |
| 18 | 8 | |
| 19 | 1 | |
| 20 | 5 |
About Jenia Jitsev
Jenia Jitsev is a scholar working on Media Technology, Renewable Energy, Sustainability and the Environment and Cognitive Neuroscience, having authored 23 papers that have together received 453 indexed citations. Recurring topics across this work include Neural dynamics and brain function (6 papers), Solar Thermal and Photovoltaic Systems (4 papers) and Solar Radiation and Photovoltaics (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (191 citations), Artificial Intelligence (134 citations) and Media Technology (28 citations). Jenia Jitsev has collaborated with scholars based in Germany, United States and Japan. Frequent co-authors include Mehdi Cherti, Mitchell Wortsman, Gabriel Ilharco, Christoph Schuhmann, Ludwig Schmidt, Romain Beaumont, Ross Wightman, Mathis Bode, Michael Gauding and Heinz Pitsch. Their work appears in journals such as SHILAP Revista de lepidopterología, Nanoscale and Solar Energy.
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.