Stephanie van de Sandt

528 total citations
9 papers, 219 citations indexed

About

Stephanie van de Sandt is a scholar working on Information Systems, Information Systems and Management and Computer Networks and Communications. According to data from OpenAlex, Stephanie van de Sandt has authored 9 papers receiving a total of 219 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Information Systems, 5 papers in Information Systems and Management and 2 papers in Computer Networks and Communications. Recurrent topics in Stephanie van de Sandt's work include Research Data Management Practices (6 papers), Scientific Computing and Data Management (5 papers) and Data Analysis and Archiving (1 paper). Stephanie van de Sandt is often cited by papers focused on Research Data Management Practices (6 papers), Scientific Computing and Data Management (5 papers) and Data Analysis and Archiving (1 paper). Stephanie van de Sandt collaborates with scholars based in Switzerland, United Kingdom and Netherlands. Stephanie van de Sandt's co-authors include Paula Andrea Martinez, Vivien Petras, Ricardo Arcila, Josep Lluís Gelpí, Jon Ison, Salvador Capella-Gutiérrez, Peter McQuilton, Jennifer Harrow, Neil Chue Hong and Anna‐Lena Lamprecht and has published in prestigious journals such as SHILAP Revista de lepidopterología, D-Lib Magazine and Data Science Journal.

In The Last Decade

Stephanie van de Sandt

8 papers receiving 207 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stephanie van de Sandt Switzerland 4 139 122 47 32 29 9 219
Barbara Sierman Netherlands 4 139 1.0× 109 0.9× 41 0.9× 41 1.3× 31 1.1× 17 247
Vivek Navale United States 3 122 0.9× 102 0.8× 37 0.8× 40 1.3× 53 1.8× 6 250
Ingrid Dillo Netherlands 5 145 1.0× 112 0.9× 55 1.2× 33 1.0× 30 1.0× 19 240
Roland Bertelmann Germany 6 188 1.4× 154 1.3× 81 1.7× 40 1.3× 25 0.9× 29 275
Maxi Kindling Germany 7 169 1.2× 135 1.1× 75 1.6× 32 1.0× 23 0.8× 32 243
Hervé L’Hours United Kingdom 5 152 1.1× 121 1.0× 55 1.2× 36 1.1× 35 1.2× 13 248
Frank Scholze Germany 7 170 1.2× 122 1.0× 56 1.2× 33 1.0× 20 0.7× 34 233
Mustapha Mokrane United Kingdom 6 168 1.2× 142 1.2× 63 1.3× 41 1.3× 43 1.5× 18 291
Dawei Lin United States 4 110 0.8× 89 0.7× 35 0.7× 31 1.0× 33 1.1× 7 213
Heinz Pampel Germany 7 200 1.4× 150 1.2× 75 1.6× 36 1.1× 25 0.9× 61 292

Countries citing papers authored by Stephanie van de Sandt

Since Specialization
Citations

This map shows the geographic impact of Stephanie van de Sandt'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 Stephanie van de Sandt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephanie van de Sandt more than expected).

Fields of papers citing papers by Stephanie van de Sandt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephanie van de Sandt. 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 Stephanie van de Sandt. The network helps show where Stephanie van de Sandt may publish in the future.

Co-authorship network of co-authors of Stephanie van de Sandt

This figure shows the co-authorship network connecting the top 25 collaborators of Stephanie van de Sandt. A scholar is included among the top collaborators of Stephanie van de Sandt 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 Stephanie van de Sandt. Stephanie van de Sandt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Horik, René van, et al.. (2020). Guides to Choosing Persistent Identifiers - Version 3. Zenodo (CERN European Organization for Nuclear Research). 2 indexed citations
2.
Basaglia, Tullio, et al.. (2020). Pushing the Boundaries of Open Science at CERN: Submission to the UNESCO Open Science Consultation. CERN Document Server (European Organization for Nuclear Research). 1 indexed citations
3.
Feger, Sebastian S., et al.. (2020). CERN Analysis Preservation and Reuse Framework: FAIR research data services for LHC experiments. SHILAP Revista de lepidopterología. 245. 6011–6011. 1 indexed citations
4.
Lamprecht, Anna‐Lena, Leyla García, Mateusz Kuzak, et al.. (2019). Towards FAIR principles for research software. Edinburgh Research Explorer. 3(1). 37–59. 150 indexed citations
5.
Ferguson, Christine, Johanna McEntyre, Simon Lambert, et al.. (2019). D3.1Survey of Current PID Services Landscape - Revised. Data Archiving and Networked Services (DANS). 1 indexed citations
6.
Dallmeier-Tiessen, Sünje, Stephanie van de Sandt, Uwe Schindler, et al.. (2019). D4.2 Using the PID Graph: Provenance in Disciplinary Systems. Zenodo (CERN European Organization for Nuclear Research).
7.
Sandt, Stephanie van de, et al.. (2019). The Definition of Reuse. Data Science Journal. 18. 30 indexed citations
8.
Ferguson, Christine, Simon Lambert, Stephanie van de Sandt, et al.. (2018). D3.1 Survey Of Current Pid Services Landscape. Zenodo (CERN European Organization for Nuclear Research). 4 indexed citations
9.
Kindling, Maxi, Heinz Pampel, Stephanie van de Sandt, et al.. (2017). The Landscape of Research Data Repositories in 2015: A re3data Analysis. D-Lib Magazine. 23(3/4). 30 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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