S. Jakobsen
- Artificial Intelligence
- Electrical and Electronic Engineering
- Nuclear and High Energy Physics
- Computer Networks and Communications
- Computer Vision and Pattern Recognition
- Co-authors
- Claudio OrlandiGianluca ValentinoVincent ConitzerJoshua BrodyStefano RedaelliH. BurkhardtPeter WinklerBelen Salvachua
- Topics
- Particle Detector Development and Performance (6 papers)Particle physics theoretical and experimental studies (4 papers)Internet Traffic Analysis and Secure E-voting (3 papers)
- Journals
- IEEE Transactions on Information TheoryNuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated EquipmentJournal of Cryptology
- Partner nations
- United KingdomSwitzerlandDenmark
In The Last Decade
S. Jakobsen
10 papers receiving 23 citations
Peers
Comparison fields: 5 of 27
- Artificial Intelligence 9
- Electrical and Electronic Engineering 7
- Nuclear and High Energy Physics 7
- Computer Networks and Communications 4
- Computer Vision and Pattern Recognition 4
Countries citing papers authored by S. Jakobsen
This map shows the geographic impact of S. Jakobsen'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 S. Jakobsen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Jakobsen more than expected).
Fields of papers citing papers by S. Jakobsen
This network shows the impact of papers produced by S. Jakobsen. 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 S. Jakobsen. The network helps show where S. Jakobsen may publish in the future.
Co-authorship network of co-authors of S. Jakobsen
This figure shows the co-authorship network connecting the top 25 collaborators of S. Jakobsen. A scholar is included among the top collaborators of S. Jakobsen 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 S. Jakobsen. S. Jakobsen 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 | 0 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 8 | |
| 7 | 2 | |
| 8 | COLLIMATION DOWN TO 2 SIGMA IN SPECIAL PHYSICS RUNS IN THE LHC | 3 |
| 9 | Commissioning of the Absolute Luminosity For ATLAS detector at the LHC | 2 |
| 10 | 2 | |
| 11 | 1 |
About S. Jakobsen
S. Jakobsen is a scholar working on Nuclear and High Energy Physics, Computer Networks and Communications and Artificial Intelligence, having authored 11 papers that have together received 26 indexed citations. Recurring topics across this work include Particle Detector Development and Performance (6 papers), Particle physics theoretical and experimental studies (4 papers) and Internet Traffic Analysis and Secure E-voting (3 papers). The work is most often cited by research in Nuclear and High Energy Physics (7 citations), Radiation (3 citations) and Artificial Intelligence (9 citations). S. Jakobsen has collaborated with scholars based in United Kingdom, Switzerland and Denmark. Frequent co-authors include Claudio Orlandi, Gianluca Valentino, Vincent Conitzer, Joshua Brody, Stefano Redaelli, H. Burkhardt, Peter Winkler, Belen Salvachua, Troels Bjerre Sørensen and W. Iwański. Their work appears in journals such as IEEE Transactions on Information Theory, Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment and Journal of Cryptology.
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.