Salman Taherian
- Physiology top 5%
- Public Health, Environmental and Occupational Health top 5%
- Developmental and Educational Psychology top 10%
- General Health Professions
- Complementary and alternative medicine top 5%
- Co-authors
- Marcelo PiasVincent T. van HeesUlf EkelundSøren BrageEmmanuel Dean‐LeonM. EderFrida RenströmAlexander Horsch
- Topics
- Opportunistic and Delay-Tolerant Networks (3 papers)Energy Efficient Wireless Sensor Networks (3 papers)Context-Aware Activity Recognition Systems (3 papers)
- Cited by
- PhysiologyPhysical Therapy, Sports Therapy and RehabilitationPublic Health, Environmental and Occupational Health
- Partner nations
- United KingdomGermanySweden
In The Last Decade
Salman Taherian
10 papers receiving 696 citations
Hit Papers
Peers
Comparison fields: 5 of 100
- Physiology 384
- Public Health, Environmental and Occupational Health 308
- Developmental and Educational Psychology 108
- General Health Professions 88
- Complementary and alternative medicine 82
Countries citing papers authored by Salman Taherian
This map shows the geographic impact of Salman Taherian'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 Salman Taherian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Salman Taherian more than expected).
Fields of papers citing papers by Salman Taherian
This network shows the impact of papers produced by Salman Taherian. 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 Salman Taherian. The network helps show where Salman Taherian may publish in the future.
Co-authorship network of co-authors of Salman Taherian
This figure shows the co-authorship network connecting the top 25 collaborators of Salman Taherian. A scholar is included among the top collaborators of Salman Taherian 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 Salman Taherian. Salman Taherian is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Separating Movement and Gravity Components in an Acceleration Signal and Implications for the Assessment of Human Daily Physical Activitybreakdown → | 616 |
| 2 | 24 | |
| 3 | 20 | |
| 4 | 33 | |
| 5 | 4 | |
| 6 | 2 | |
| 7 | 0 | |
| 8 | 0 | |
| 9 | 2 | |
| 10 | 4 | |
| 11 | 3 | |
| 12 | Open Source Real-Time OS (RTEMS) on SCI based Compute Clusters | 1 |
About Salman Taherian
Salman Taherian is a scholar working on Physical Therapy, Sports Therapy and Rehabilitation, Computer Networks and Communications and Hardware and Architecture, having authored 12 papers that have together received 709 indexed citations. Recurring topics across this work include Opportunistic and Delay-Tolerant Networks (3 papers), Energy Efficient Wireless Sensor Networks (3 papers) and Context-Aware Activity Recognition Systems (3 papers). The work is most often cited by research in Physiology (384 citations), Physical Therapy, Sports Therapy and Rehabilitation (48 citations) and Public Health, Environmental and Occupational Health (308 citations). Salman Taherian has collaborated with scholars based in United Kingdom, Germany and Sweden. Frequent co-authors include Marcelo Pias, Vincent T. van Hees, Ulf Ekelund, Søren Brage, Emmanuel Dean‐Leon, M. Eder, Frida Renström, Alexander Horsch, Paul W. Franks and Lukas Gorzelniak. Their work appears in journals such as PLoS ONE, Gait & Posture and Computer Communications.
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.