Adam Sadilek

3.0k citations
31 papers · 1.4k indexed · h-index 17
Topics
Data-Driven Disease Surveillance (15 papers)Human Mobility and Location-Based Analysis (15 papers)COVID-19 epidemiological studies (7 papers)

In The Last Decade

Adam Sadilek

31 papers receiving 1.4k citations

Peers

Adam Sadilek
Comparison fields: 5 of 135
  • Transportation 485
  • Artificial Intelligence 336
  • Modeling and Simulation 262
  • Epidemiology 255
  • Statistical and Nonlinear Physics 154
Replace Salvatore Rinzivillo with:
Salvatore Rinzivillo Italy
Enrique Frı́as-Martı́nez Spain
Fengli Xu China
Piotr Sapieżyński United States
Danhuai Guo China
Pierre Deville Belgium
Carmela Comito Italy
Pang Wei Koh United States
Erik Wetter Sweden
Mark Cameron Australia
Adam Sadilek relative to Salvatore Rinzivillo Italy Salvatore Rinzivillo's profile →
Citations per field
00.5×6.9×
Salvatore Rinzivillo · 1×
Citations per year

Countries citing papers authored by Adam Sadilek

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Adam Sadilek

This figure shows the co-authorship network connecting the top 25 collaborators of Adam Sadilek. A scholar is included among the top collaborators of Adam Sadilek 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 Adam Sadilek. Adam Sadilek is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 28
2 89
3 104
4 47
5 14
6 10
7 10
8 8
9 6
10 133
11 83
12 16
13 136
14 34
15 26
16
Towards understanding global spread of disease from everyday interpersonal interactions
20
17
Modeling the interplay of people's location, interactions, and social ties
7
18 37
19 239
20 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) and COVID-19 epidemiological studies (7 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.

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