Data Archiving Networked Services (DANS)

216 papers and 3.6k indexed citations
i
.

About

In recent decades, authors affiliated with Data Archiving Networked Services (DANS) have published 216 papers, which have received a total of 3.6k indexed citations. Scholars at this organization have produced 77 papers in Information Systems, 50 papers in Information Systems and Management and 40 papers in Artificial Intelligence on the topics of Research Data Management Practices (63 papers), Scientific Computing and Data Management (47 papers) and Data Quality and Management (27 papers). Their work is cited by papers focused on Analytical Chemistry (770 citations), Information Systems (641 citations) and Information Systems and Management (456 citations). Authors at Data Archiving Networked Services (DANS) collaborate with scholars in Netherlands, United Kingdom and United States and have published in prestigious journals including Cell, PLoS ONE and Journal of Climate. Some of Data Archiving Networked Services (DANS)'s most productive authors include Nicolaas M. Faber, Alejandro C. Olivieri, Róbert Rajkó, Andrea Scharnhorst, Joan Ferré, John H. Kalivas, Howard Mark, Paul F. Uhlir, Ricard Boqué and Héctor C. Goicoechea.

In The Last Decade

Fields of papers published by authors at Data Archiving Networked Services (DANS)

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Data Archiving Networked Services (DANS) at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Data Archiving Networked Services (DANS) at the time of their publication.

Countries citing scholars working at Data Archiving Networked Services (DANS)

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Data Archiving Networked Services (DANS). 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 papers produced at Data Archiving Networked Services (DANS) with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Data Archiving Networked Services (DANS) more than expected).

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.

Explore institutions with similar magnitude of impact

Rankless by CCL
2026