Mercè Crosas
Impact in
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- Scientific Computing and Data Management
- Modeling and Simulation top 1%
- COVID-19 epidemiological studies
Papers in
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- Research Data Management Practices 16
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- Scientific Computing and Data Management 14
- Co-authors
- Barbara E. Bierer (1 shared paper)Latanya Sweeney (4 shared papers)Francesca Dominici (1 shared paper)Marc Lipsitch (1 shared paper)Caroline O. Buckee (1 shared paper)Samuel V. Scarpino (1 shared paper)Amy Wesolowski (1 shared paper)Andrew Schroeder (1 shared paper)
- Journals
- Scientific Data (2 papers)The Annals of the American Academy of Political and Social Science (1 paper)Computing in Science & Engineering (1 paper)PeerJ Computer Science (1 paper)Annals of the New York Academy of Sciences (1 paper)
- Partner nations
- United StatesUnited KingdomSpain
In The Last Decade
Mercè Crosas
30 papers receiving 1.1k citations
Mercè Crosas's Hit Papers
Peers
Comparison fields: 5 of 119
- Information Systems and Management 462
- Modeling and Simulation 197
- Information Systems 550
- Management Science and Operations Research 220
- Transportation 107
Countries citing papers authored by Mercè Crosas
This map shows the geographic impact of Mercè Crosas'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 Mercè Crosas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mercè Crosas more than expected).
Fields of papers citing papers by Mercè Crosas
This network shows the impact of papers produced by Mercè Crosas. 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 Mercè Crosas. The network helps show where Mercè Crosas may publish in the future.
Co-authors
The 25 scholars most cited alongside Mercè Crosas, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Aggregated mobility data could help fight COVID-19 Hit paper breakdown → | 2020 | 291 |
| 2 | 2017 | 110 | |
| 3 | 2019 | 98 | |
| 4 | 2022 | 81 | |
| 5 | 2011 | 79 | |
| 6 | 2015 | 76 | |
| 7 | 2019 | 59 | |
| 8 | 2019 | 56 | |
| 9 | 2014 | 44 | |
| 10 | 2014 | 37 | |
| 11 | 2015 | 36 | |
| 12 | 2016 | 26 | |
| 13 | Sharing Sensitive Data with Confidence: The Datatags System | 2015 | 22 |
| 14 | 2015 | 21 | |
| 15 | 2018 | 18 | |
| 16 | 2021 | 16 | |
| 17 | 2012 | 16 | |
| 18 | 2020 | 16 | |
| 19 | 2020 | 11 | |
| 20 | 2020 | 11 |
About Mercè Crosas
Mercè Crosas is a scholar working on Information Systems, Information Systems and Management, Management Science and Operations Research, Computer Networks and Communications and Sociology and Political Science, having authored 31 papers that have together received 1.2k indexed citations. Recurring topics across this work include Research Data Management Practices (16 papers), Scientific Computing and Data Management (14 papers), Data Quality and Management (9 papers), Privacy-Preserving Technologies in Data (3 papers), Data Analysis and Archiving (2 papers), Big Data and Business Intelligence (2 papers), Advanced Data Storage Technologies (2 papers) and Biomedical Text Mining and Ontologies (2 papers). The work is most often cited by research in Information Systems and Management (462 citations), Modeling and Simulation (197 citations), Information Systems (550 citations), Management Science and Operations Research (220 citations) and Transportation (107 citations). Mercè Crosas has collaborated with scholars based in United States, United Kingdom and Spain. Frequent co-authors include Barbara E. Bierer, Latanya Sweeney, Francesca Dominici, Marc Lipsitch, Caroline O. Buckee, Samuel V. Scarpino, Amy Wesolowski, Andrew Schroeder, M. Elizabeth Halloran and C. Jessica E. Metcalf. Their work appears in journals such as Scientific Data, The Annals of the American Academy of Political and Social Science, Computing in Science & Engineering, PeerJ Computer Science and Annals of the New York Academy of Sciences.
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.