Adam Sadilek
- Transportation top 1%
- Human Mobility and Location-Based Analysis 15
- Urban Transport and Accessibility 4
- Modeling and Simulation top 1%
- COVID-19 epidemiological studies 7
- Health Informatics top 5%
-
- Mobile Crowdsensing and Crowdsourcing 4
-
- Complex Network Analysis Techniques 6
-
- Data-Driven Disease Surveillance 15
-
- Impact of Light on Environment and Health 4
-
- Anomaly Detection Techniques and Applications 3
- Co-authors
- Henry KautzJeffrey P. BighamP. R. EasthamVincent SilenzioWalter S. LaseckiRaja KushalnagarChristopher D. MillerMadhav Marathe
- Partner nations
- United StatesUnited KingdomSpain
In The Last Decade
Adam Sadilek
31 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 135
- Transportation 485
- Modeling and Simulation 262
- Health Informatics 40
- Computer Science Applications 146
- Statistical and Nonlinear Physics 154
Countries citing papers authored by Adam Sadilek
This map shows the geographic impact of Adam Sadilek'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 Adam Sadilek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adam Sadilek more than expected).
Fields of papers citing papers by Adam Sadilek
This network shows the impact of papers produced by Adam Sadilek. 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 Adam Sadilek. The network helps show where Adam Sadilek may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Adam Sadilek, 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 | 2022 | 28 | |
| 2 | 2021 | 89 | |
| 3 | 2021 | 104 | |
| 4 | 2021 | 47 | |
| 5 | 2021 | 14 | |
| 6 | 2021 | 10 | |
| 7 | 2021 | 10 | |
| 8 | 2021 | 8 | |
| 9 | 2021 | 6 | |
| 10 | 2020 | 133 | |
| 11 | 2020 | 83 | |
| 12 | 2020 | 16 | |
| 13 | 2019 | 136 | |
| 14 | 2017 | 34 | |
| 15 | 2016 | 26 | |
| 16 | Towards understanding global spread of disease from everyday interpersonal interactions | 2013 | 20 |
| 17 | Modeling the interplay of people's location, interactions, and social ties | 2013 | 7 |
| 18 | 2013 | 37 | |
| 19 | 2012 | 239 | |
| 20 | 2012 | 27 |
About Adam Sadilek
Adam Sadilek is a scholar working on Transportation, Modeling and Simulation and Computer Science Applications, having authored 31 papers that have together received 1.4k indexed citations. Recurring topics across this work include Data-Driven Disease Surveillance (15 papers), Human Mobility and Location-Based Analysis (15 papers), COVID-19 epidemiological studies (7 papers), Complex Network Analysis Techniques (6 papers), Impact of Light on Environment and Health (4 papers), Urban Transport and Accessibility (4 papers), Mobile Crowdsensing and Crowdsourcing (4 papers) and Anomaly Detection Techniques and Applications (3 papers). The work is most often cited by research in Transportation (485 citations), Modeling and Simulation (262 citations) and Health Informatics (40 citations). Adam Sadilek has collaborated with scholars based in United States, United Kingdom and Spain. Frequent co-authors include Henry Kautz, Jeffrey P. Bigham, P. R. Eastham, Vincent Silenzio, Walter S. Lasecki, Raja Kushalnagar, Christopher D. Miller, Madhav Marathe, Sean Brennan and John S. Brownstein. Their work appears in journals such as Nature, Science and Nature 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.