Kim Joris Boström
- Artificial Intelligence top 1%
- Atomic and Molecular Physics, and Optics top 5%
- Cognitive Neuroscience
- Biomedical Engineering
- Physical Therapy, Sports Therapy and Rehabilitation top 10%
- Co-authors
- Timo FelbingerHeiko WagnerMarc H. E. de LussanetAnne‐Kathrin WarzechaKaren ZentgrafChristian PutaThomas WeißMarkus Lappe
- Topics
- Motor Control and Adaptation (5 papers)Lower Extremity Biomechanics and Pathologies (5 papers)Balance, Gait, and Falls Prevention (4 papers)
- Cited by
- Artificial IntelligenceAtomic and Molecular Physics, and OpticsPhysical Therapy, Sports Therapy and Rehabilitation
- Partner nations
- GermanyUnited StatesBrazil
In The Last Decade
Kim Joris Boström
19 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 59
- Artificial Intelligence 894
- Atomic and Molecular Physics, and Optics 850
- Cognitive Neuroscience 58
- Biomedical Engineering 45
- Physical Therapy, Sports Therapy and Rehabilitation 42
Countries citing papers authored by Kim Joris Boström
This map shows the geographic impact of Kim Joris Boström'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 Kim Joris Boström with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kim Joris Boström more than expected).
Fields of papers citing papers by Kim Joris Boström
This network shows the impact of papers produced by Kim Joris Boström. 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 Kim Joris Boström. The network helps show where Kim Joris Boström may publish in the future.
Co-authorship network of co-authors of Kim Joris Boström
This figure shows the co-authorship network connecting the top 25 collaborators of Kim Joris Boström. A scholar is included among the top collaborators of Kim Joris Boström 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 Kim Joris Boström. Kim Joris Boström 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 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 7 | |
| 8 | 11 | |
| 9 | 11 | |
| 10 | 7 | |
| 11 | 5 | |
| 12 | 47 | |
| 13 | 3 | |
| 14 | 8 | |
| 15 | 30 | |
| 16 | 7 | |
| 17 | 5 | |
| 18 | 21 | |
| 19 | 5 | |
| 20 | Deterministic Secure Direct Communication Using Entanglementbreakdown → | 862 |
About Kim Joris Boström
Kim Joris Boström is a scholar working on Physical Therapy, Sports Therapy and Rehabilitation, Orthopedics and Sports Medicine and Cognitive Neuroscience, having authored 24 papers that have together received 1.1k indexed citations. Recurring topics across this work include Motor Control and Adaptation (5 papers), Lower Extremity Biomechanics and Pathologies (5 papers) and Balance, Gait, and Falls Prevention (4 papers). The work is most often cited by research in Artificial Intelligence (894 citations), Atomic and Molecular Physics, and Optics (850 citations) and Physical Therapy, Sports Therapy and Rehabilitation (42 citations). Kim Joris Boström has collaborated with scholars based in Germany, United States and Brazil. Frequent co-authors include Timo Felbinger, Heiko Wagner, Marc H. E. de Lussanet, Anne‐Kathrin Warzecha, Karen Zentgraf, Christian Puta, Thomas Weiß, Markus Lappe, Oliver Schmitz and Tobias L. Schulte. Their work appears in journals such as Physical Review Letters, PLoS ONE and Scientific Reports.
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.