Mercè Crosas

19.9k total citations · 1 hit paper
30 papers, 949 citations indexed

About

Mercè Crosas is a scholar working on Information Systems, Information Systems and Management and Management Science and Operations Research. According to data from OpenAlex, Mercè Crosas has authored 30 papers receiving a total of 949 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Information Systems, 14 papers in Information Systems and Management and 8 papers in Management Science and Operations Research. Recurrent topics in Mercè Crosas's work include Research Data Management Practices (15 papers), Scientific Computing and Data Management (13 papers) and Data Quality and Management (8 papers). Mercè Crosas is often cited by papers focused on Research Data Management Practices (15 papers), Scientific Computing and Data Management (13 papers) and Data Quality and Management (8 papers). Mercè Crosas collaborates with scholars based in United States, United Kingdom and Netherlands. Mercè Crosas's co-authors include Barbara E. Bierer, Jennifer Chan, C. Jessica E. Metcalf, Yonatan H. Grad, T. Alex Perkins, Bryan T. Grenfell, Satchit Balsari, Cécile Viboud, Marc Lipsitch and Urs Gasser and has published in prestigious journals such as Science, New England Journal of Medicine and SHILAP Revista de lepidopterología.

In The Last Decade

Mercè Crosas

29 papers receiving 894 citations

Hit Papers

Aggregated mobility data could help fight COVID-19 2020 2026 2022 2024 2020 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Aggregated mobility data could help fight COVID-19
    2020 279 citations Caroline O. Buckee, Satchit Balsari et al. Science profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mercè Crosas United States 16 446 383 199 182 114 30 949
Pierre Deville Belgium 6 127 0.3× 87 0.2× 52 0.3× 41 0.2× 100 0.9× 9 1.4k
Reid Priedhorsky United States 18 224 0.5× 61 0.2× 185 0.9× 18 0.1× 136 1.2× 34 1.1k
Martin Szomszor United Kingdom 16 333 0.7× 64 0.2× 16 0.1× 73 0.4× 214 1.9× 42 965
Michael Smit Canada 18 389 0.9× 84 0.2× 23 0.1× 68 0.4× 137 1.2× 88 1.1k
Benjamin Adams New Zealand 15 77 0.2× 23 0.1× 64 0.3× 44 0.2× 178 1.6× 53 746
Boluwaji Akinnuwesi Nigeria 13 135 0.3× 62 0.2× 39 0.2× 22 0.1× 131 1.1× 43 608
Michael Fire Israel 14 267 0.6× 28 0.1× 14 0.1× 39 0.2× 273 2.4× 32 770
Amanda M. Y. Chu Hong Kong 16 130 0.3× 24 0.1× 115 0.6× 37 0.2× 61 0.5× 63 911
Stephen Gbenga Fashoto Eswatini 16 182 0.4× 39 0.1× 56 0.3× 14 0.1× 148 1.3× 41 738
Alejandro Rodríguez‐González Spain 17 282 0.6× 48 0.1× 5 0.0× 131 0.7× 362 3.2× 131 1.1k

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-authorship network of co-authors of Mercè Crosas

This figure shows the co-authorship network connecting the top 25 collaborators of Mercè Crosas. A scholar is included among the top collaborators of Mercè Crosas 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 Mercè Crosas. Mercè Crosas 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
1.
Crosas, Mercè & Xiaoli Meng. (2023). A Conversation With Mercè Crosas. SHILAP Revista de lepidopterología. 5(3).
2.
Soiland‐Reyes, Stian, Mercè Crosas, Leyla Jael Castro, et al.. (2022). Packaging research artefacts with RO-Crate. UvA-DARE (University of Amsterdam). 5(2). 97–138. 70 indexed citations
3.
Trisovic, A., et al.. (2021). Repository Approaches to Improving the Quality of Shared Data and Code. Data. 6(2). 15–15. 15 indexed citations
4.
Stall, Shelley, Maryann E. Martone, Ishwar Chandramouliswaran, et al.. (2020). Generalist Repository Comparison Chart. Zenodo (CERN European Organization for Nuclear Research). 9 indexed citations
5.
McIntosh, Leslie D., et al.. (2020). The State of Open Data 2020. Figshare. 10 indexed citations
6.
Berman, Francine & Mercè Crosas. (2020). The Research Data Alliance: Benefits and Challenges of Building a Community Organization. SHILAP Revista de lepidopterología. 16 indexed citations
7.
Buckee, Caroline O., Satchit Balsari, Jennifer Chan, et al.. (2020). Aggregated mobility data could help fight COVID-19. Science. 368(6487). 145–146. 279 indexed citations breakdown →
8.
Crosas, Mercè. (2020). Harvard Data Commons. Septentrio Academic Publishing (University of Tromsø). 3 indexed citations
9.
Alexander, Steven M., Kristal Jones, Nathan Bennett, et al.. (2019). Qualitative data sharing and synthesis for sustainability science. Nature Sustainability. 3(2). 81–88. 50 indexed citations
10.
Wilkinson, Mark D., Michel Dumontier, Susanna‐Assunta Sansone, et al.. (2019). Evaluating FAIR maturity through a scalable, automated, community-governed framework. Scientific Data. 6(1). 174–174. 81 indexed citations
11.
Fenner, Martin, Mercè Crosas, Jeffrey S. Grethe, et al.. (2019). A data citation roadmap for scholarly data repositories. Scientific Data. 6(1). 28–28. 47 indexed citations
12.
Bierer, Barbara E., et al.. (2017). Data Authorship as an Incentive to Data Sharing. New England Journal of Medicine. 376(17). 1684–1687. 90 indexed citations
13.
Crosas, Mercè, et al.. (2017). Evaluating and Promoting Open Data Practices in Open Access Journals. Journal of Scholarly Publishing. 49(1). 66–88. 10 indexed citations
14.
Meyer, Peter, et al.. (2016). Extension of research data repository system to support direct compute access to biomedical datasets: enhancing Dataverse to support large datasets. Annals of the New York Academy of Sciences. 1387(1). 95–104. 6 indexed citations
15.
Altman, Micah, et al.. (2015). Open Journal Systems and Dataverse Integration– Helping Journals to Upgrade Data Publication for Reusable Research. SHILAP Revista de lepidopterología. 3 indexed citations
16.
17.
Crosas, Mercè. (2014). The Evolution of Data Citation: From Principles to Implementation. SHILAP Revista de lepidopterología. 37(1-4). 62–62. 25 indexed citations
18.
Rajasekar, Arcot, Jonathan Crabtree, Hye‐Chung Kum, et al.. (2013). Sociometric Methods for Relevancy Analysis of Long Tail Science Data. 17. 1–6. 4 indexed citations
19.
Crosas, Mercè. (2012). A Data Sharing Story. SHILAP Revista de lepidopterología. 1(3). 173–179. 15 indexed citations
20.
Crosas, Mercè. (2011). The Dataverse Network®: An Open-Source Application for Sharing, Discovering and Preserving Data. D-Lib Magazine. 17(1/2). 72 indexed citations

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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