Mercè Crosas

29 papers receiving 894 citations

Mercè Crosas's Hit Papers

Aggregated mobility data could help fight COVID-19 2020 · 279 citations
2790+2+4Years since publication50100150200250

Peers

Mercè Crosas
Comparison fields: 5 of 115
  • Information Systems and Management 383
  • Modeling and Simulation 199
  • Information Systems 446
  • Transportation 111
  • Management Science and Operations Research 182
Replace Pierre Deville with:
Pierre Deville Belgium
Martin Szomszor United Kingdom
Michael Smit Canada
Michael Fire Israel
Reid Priedhorsky United States
Daniela Luzi Italy
Alejandro Rodríguez‐González Spain
Jennifer Chan Australia
Alberto Pepe United States
Matthew S. Mayernik United States
Mercè Crosas relative to Pierre Deville Belgium Pierre Deville's profile →
Citations per field
00.5×4.4×
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 30 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 →
2020279
2 201790
3 201981
4 201172
5 202270
6 201950
7 201947
8 201441
9 201528
10 201425
11 201518
12 202016
13
Sharing Sensitive Data with Confidence: The Datatags System
201516
14 202115
15 201215
16 201815
17 202010
18 201710
19 20209
20 20169

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 30 papers that have together received 949 indexed citations. Recurring topics across this work include Research Data Management Practices (15 papers), Scientific Computing and Data Management (13 papers), Data Quality and Management (8 papers), Privacy-Preserving Technologies in Data (3 papers), Distributed and Parallel Computing Systems (2 papers), Big Data and Business Intelligence (2 papers), Advanced Data Storage Technologies (2 papers) and scientometrics and bibliometrics research (2 papers). The work is most often cited by research in Information Systems and Management (383 citations), Modeling and Simulation (199 citations), Information Systems (446 citations), Transportation (111 citations) and Management Science and Operations Research (182 citations). Mercè Crosas has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Barbara E. Bierer, T. Alex Perkins, Mauricio Santillana, Francesca Dominici, C. Jessica E. Metcalf, Yonatan H. Grad, Samuel V. Scarpino, Jennifer Chan, Lauren Ancel Meyers and Bryan T. Grenfell. Their work appears in journals such as Scientific Data, D-Lib Magazine, The Annals of the American Academy of Political and Social Science, Nature Sustainability 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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