Daniel E. Rigobon
Impact in
- General Social Sciences top 2%
- Computational and Text Analysis Methods
Papers in
-
- Tensor decomposition and applications 1
-
- Balance, Gait, and Falls Prevention 1
- Co-authors
- Roberto Rigobón (1 shared paper)Miklós Z. Rácz (1 shared paper)Yoshihiko Suhara (1 shared paper)Neville Hogan (1 shared paper)Alex Pentland (1 shared paper)T. R. Hurd (1 shared paper)Thibaut Duprey (2 shared papers)Abdullah Almaatouq (1 shared paper)
- Journals
- Socius Sociological Research for a Dynamic World (1 paper)IEEE Transactions on Network Science and Engineering (1 paper)Proceedings of the National Academy of Sciences (1 paper)IMF Economic Review (1 paper)Journal of risk and financial management (1 paper)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Daniel E. Rigobon
6 papers receiving 227 citations
Peers
Comparison fields: 5 of 81
- General Social Sciences 24
- Health Informatics 7
- General Decision Sciences 4
- Safety Research 18
- Health 16
Countries citing papers authored by Daniel E. Rigobon
This map shows the geographic impact of Daniel E. Rigobon'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 Daniel E. Rigobon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel E. Rigobon more than expected).
Fields of papers citing papers by Daniel E. Rigobon
This network shows the impact of papers produced by Daniel E. Rigobon. 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 Daniel E. Rigobon. The network helps show where Daniel E. Rigobon may publish in the future.
Co-authors
The 9 scholars most cited alongside Daniel E. Rigobon, 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 | 2020 | 193 | |
| 2 | 2021 | 29 | |
| 3 | 2019 | 10 | |
| 4 | 2023 | 9 | |
| 5 | 2022 | 4 | |
| 6 | 2017 | 2 | |
| 7 | 2023 | 0 |
About Daniel E. Rigobon
Daniel E. Rigobon is a scholar working on Computational Mathematics, Physical Therapy, Sports Therapy and Rehabilitation, Communication, Health and Economics and Econometrics, having authored 7 papers that have together received 247 indexed citations. Recurring topics across this work include COVID-19 Pandemic Impacts (2 papers), Grit, Self-Efficacy, and Motivation (1 paper), Social Media and Politics (1 paper), Regional Economics and Spatial Analysis (1 paper), Supply Chain Resilience and Risk Management (1 paper), Opinion Dynamics and Social Influence (1 paper), Tensor decomposition and applications (1 paper) and Balance, Gait, and Falls Prevention (1 paper). The work is most often cited by research in General Social Sciences (24 citations), Health Informatics (7 citations), General Decision Sciences (4 citations), Safety Research (18 citations) and Health (16 citations). Daniel E. Rigobon has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Roberto Rigobón, Miklós Z. Rácz, Yoshihiko Suhara, Neville Hogan, Alex Pentland, T. R. Hurd, Thibaut Duprey, Abdullah Almaatouq and Eaman Jahani. Their work appears in journals such as Socius Sociological Research for a Dynamic World, IEEE Transactions on Network Science and Engineering, Proceedings of the National Academy of Sciences, IMF Economic Review and Journal of risk and financial management.
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.