Data Archiving and Networked Services (DANS)
Impact in
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- Scientific Computing and Data Management
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- Spectroscopy and Chemometric Analyses
Papers in
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- Scientific Computing and Data Management 61
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- Research Data Management Practices 84
- Top scholars
- Daniel C. DennettNicolaas M. FaberJerome B. CohenMyron S. ScholesFischer BlackAndrea ScharnhorstRóbert RajkóAlejandro C. Olivieri
- Journals
- Medicine (20 papers)The Journal of Trauma: Injury, Infection, and Critical Care (12 papers)Cornea (11 papers)Critical Care Medicine (9 papers)Retina (9 papers)
- Partner nations
- NetherlandsUnited StatesUnited Kingdom
In The Last Decade
Data Archiving and Networked Services (DANS)
429 papers receiving 11.6k citations
Peers
Comparison fields: 5 of 236
- Information Systems and Management 752
- Analytical Chemistry 842
- Rheumatology 1.2k
- Health Informatics 105
- History and Philosophy of Science 316
Countries citing scholars working at Data Archiving and Networked Services (DANS)
This map shows the geographic impact of research produced by authors working at Data Archiving and 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 and 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 and Networked Services (DANS) more than expected).
Fields of papers published by authors at Data Archiving and Networked Services (DANS)
This network shows the impact of papers affiliated with Data Archiving and 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 and Networked Services (DANS) at the time of their publication.
About Data Archiving and Networked Services (DANS)
In recent decades, authors affiliated with Data Archiving and Networked Services (DANS) have published 558 papers, which have received a total of 13.3k indexed citations . Scholars at this organization have produced 66 papers in Information Systems and Management, 114 papers in Information Systems, 13 papers in Conservation, 43 papers in Management Science and Operations Research and 2 papers in Research and Theory on the topics of Research Data Management Practices (84 papers), Scientific Computing and Data Management (61 papers), Semantic Web and Ontologies (42 papers), Data Quality and Management (37 papers), Digital and Traditional Archives Management (13 papers), Biomedical Text Mining and Ontologies (13 papers), Digital Humanities and Scholarship (13 papers) and Spectroscopy and Chemometric Analyses (12 papers). Their work is cited by papers focused on Information Systems and Management (752 citations), Analytical Chemistry (842 citations), Rheumatology (1.2k citations), Health Informatics (105 citations) and History and Philosophy of Science (316 citations). Authors at Data Archiving and Networked Services (DANS) collaborate with scholars in Netherlands, United States and United Kingdom and have published in prestigious journals including Medicine, The Journal of Trauma: Injury, Infection, and Critical Care, Cornea, Critical Care Medicine and Retina. Some of Data Archiving and Networked Services (DANS)'s most productive authors include Daniel C. Dennett, Nicolaas M. Faber, Jerome B. Cohen, Myron S. Scholes, Fischer Black, Andrea Scharnhorst, Róbert Rajkó, Alejandro C. Olivieri, Daniel A. Powers and Hui Liu.
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.