Jakob Fredslund
- Computer Networks and Communications top 5%
- Plant Science top 10%
- Computer Vision and Pattern Recognition top 5%
- Mechanical Engineering top 10%
- Molecular Biology
- Co-authors
- Maja J. MatarićLola CañameroNiels SandalLeif SchauserJens StougaardLene H. MadsenDavid J. BertioliMette Lange
- Topics
- Genomics and Phylogenetic Studies (5 papers)Modular Robots and Swarm Intelligence (4 papers)Legume Nitrogen Fixing Symbiosis (4 papers)
- Partner nations
- DenmarkUnited StatesBrazil
In The Last Decade
Jakob Fredslund
18 papers receiving 911 citations
Peers
Comparison fields: 5 of 95
- Computer Networks and Communications 350
- Plant Science 289
- Computer Vision and Pattern Recognition 238
- Mechanical Engineering 232
- Molecular Biology 171
Countries citing papers authored by Jakob Fredslund
This map shows the geographic impact of Jakob Fredslund'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 Jakob Fredslund with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jakob Fredslund more than expected).
Fields of papers citing papers by Jakob Fredslund
This network shows the impact of papers produced by Jakob Fredslund. 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 Jakob Fredslund. The network helps show where Jakob Fredslund may publish in the future.
Co-authorship network of co-authors of Jakob Fredslund
This figure shows the co-authorship network connecting the top 25 collaborators of Jakob Fredslund. A scholar is included among the top collaborators of Jakob Fredslund 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 Jakob Fredslund. Jakob Fredslund is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 107 | |
| 3 | 15 | |
| 4 | 74 | |
| 5 | 44 | |
| 6 | 8 | |
| 7 | 39 | |
| 8 | 34 | |
| 9 | 24 | |
| 10 | 80 | |
| 11 | 6 | |
| 12 | Robots in Formation Using Local Information | 16 |
| 13 | 318 | |
| 14 | 42 | |
| 15 | A General, Local Algorithm for Robot Formations | 32 |
| 16 | I Show You How I like You : Can You Read it in My Face? | 41 |
| 17 | 79 | |
| 18 | 7 |
About Jakob Fredslund
Jakob Fredslund is a scholar working on Computer Networks and Communications, Plant Science and Computer Vision and Pattern Recognition, having authored 18 papers that have together received 973 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (5 papers), Modular Robots and Swarm Intelligence (4 papers) and Legume Nitrogen Fixing Symbiosis (4 papers). The work is most often cited by research in Computer Networks and Communications (350 citations), Computer Vision and Pattern Recognition (238 citations) and Plant Science (289 citations). Jakob Fredslund has collaborated with scholars based in Denmark, United States and Brazil. Frequent co-authors include Maja J. Matarić, Lola Cañamero, Niels Sandal, Leif Schauser, Jens Stougaard, Lene H. Madsen, David J. Bertioli, Mette Lange, Anna Marie Nielsen and Satoshi Tabata. Their work appears in journals such as Nucleic Acids Research, Genetics and BMC Bioinformatics.
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.