Katayoun Farrahi
- Transportation top 1%
- Human Mobility and Location-Based Analysis 16
- Signal Processing top 5%
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- Complex Network Analysis Techniques 9
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- Context-Aware Activity Recognition Systems 8
- Computer Science Applications top 10%
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- Data-Driven Disease Surveillance 10
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- COVID-19 epidemiological studies 3
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- Non-Invasive Vital Sign Monitoring 3
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- Geographic Information Systems Studies 3
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- Recommender Systems and Techniques 3
- Co-authors
- Daniel Gática-PérezManuel CebriánAnmol MadanAlex PentlandSai T. MoturuRémi EmonetAlois FerschaKashif Zia
- Partner nations
- United KingdomAustriaSwitzerland
In The Last Decade
Katayoun Farrahi
35 papers receiving 766 citations
Peers
Comparison fields: 5 of 107
- Transportation 334
- Signal Processing 122
- Statistical and Nonlinear Physics 127
- Computer Vision and Pattern Recognition 188
- Computer Science Applications 48
Countries citing papers authored by Katayoun Farrahi
This map shows the geographic impact of Katayoun Farrahi'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 Katayoun Farrahi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katayoun Farrahi more than expected).
Fields of papers citing papers by Katayoun Farrahi
This network shows the impact of papers produced by Katayoun Farrahi. 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 Katayoun Farrahi. The network helps show where Katayoun Farrahi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Katayoun Farrahi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 6 | |
| 4 | 2024 | 3 | |
| 5 | 2023 | 4 | |
| 6 | 2023 | 2 | |
| 7 | 2022 | 2 | |
| 8 | 2021 | 1 | |
| 9 | 2021 | 5 | |
| 10 | 2020 | 18 | |
| 11 | 2019 | 17 | |
| 12 | 2018 | 7 | |
| 13 | 2014 | 65 | |
| 14 | 2013 | 21 | |
| 15 | 2012 | 7 | |
| 16 | 2012 | 10 | |
| 17 | 2011 | 7 | |
| 18 | Sensing the 'Health State' of our Society | 2011 | 4 |
| 19 | 2011 | 154 | |
| 20 | 2010 | 6 |
About Katayoun Farrahi
Katayoun Farrahi is a scholar working on Transportation, Statistical and Nonlinear Physics and Modeling and Simulation, having authored 37 papers that have together received 816 indexed citations. Recurring topics across this work include Human Mobility and Location-Based Analysis (16 papers), Data-Driven Disease Surveillance (10 papers), Complex Network Analysis Techniques (9 papers), Context-Aware Activity Recognition Systems (8 papers), COVID-19 epidemiological studies (3 papers), Non-Invasive Vital Sign Monitoring (3 papers), Geographic Information Systems Studies (3 papers) and Recommender Systems and Techniques (3 papers). The work is most often cited by research in Transportation (334 citations), Signal Processing (122 citations) and Statistical and Nonlinear Physics (127 citations). Katayoun Farrahi has collaborated with scholars based in United Kingdom, Austria and Switzerland. Frequent co-authors include Daniel Gática-Pérez, Manuel Cebrián, Anmol Madan, Alex Pentland, Sai T. Moturu, Rémi Emonet, Alois Ferscha, Kashif Zia, Mahesan Niranjan and Andreu Vall. Their work appears in journals such as PLoS ONE, Scientific Reports and Pattern Recognition Letters.
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.