Mercè Crosas

30 papers receiving 976 citations

Mercè Crosas's Hit Papers

Aggregated mobility data could help fight COVID-19 2020 · 282 citations
2820+2+4Years since publication50100150200250

Peers

Mercè Crosas
Comparison fields: 5 of 115
  • Information Systems and Management 419
  • Modeling and Simulation 192
  • Information Systems 494
  • Management Science and Operations Research 196
  • Transportation 104
Replace Pierre Deville with:
Pierre Deville Belgium
Martin Szomszor United Kingdom
Sharad Borle United States
Reid Priedhorsky United States
Philippe J. Giabbanelli United States
Michael Fire Israel
Alberto Pepe United States
Matthew S. Mayernik United States
Nicholas Weber United States
Alejandro Rodríguez‐González Spain
Mercè Crosas relative to Pierre Deville Belgium Pierre Deville's profile →
Citations per field
00.5×4.9×
Pierre Deville · 1×
Citations per year

Countries citing papers authored by Mercè Crosas

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Mercè Crosas Line = papers co-authored together Mercè Crosas links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

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 →
2020282
2 201791
3 201982
4 202276
5 201174
6 201569
7 201953
8 201948
9 201441
10 201528
11 201426
12 201518
13 201816
14 202016
15
Sharing Sensitive Data with Confidence: The Datatags System
201516
16 202115
17 201215
18 202010
19 201710
20 20209

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 1.0k 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 (419 citations), Modeling and Simulation (192 citations), Information Systems (494 citations), Management Science and Operations Research (196 citations) and Transportation (104 citations). Mercè Crosas has collaborated with scholars based in United States, United Kingdom and Spain. Frequent co-authors include Barbara E. Bierer, Andrew Schroeder, Cécile Viboud, Jennifer Chan, Caroline O. Buckee, Yonatan H. Grad, Lauren Ancel Meyers, Samuel V. Scarpino, Urs Gasser and Amy Wesolowski. Their work appears in journals such as Scientific Data, Nature Sustainability, D-Lib Magazine, Journal of Scholarly Publishing and Computing in Science & Engineering.

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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