Daniel van Strien
Impact in
- Conservation top 5%
- Digital and Traditional Archives Management
Papers in
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- Geographic Information Systems Studies 3
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- Research Data Management Practices 2
- Web Data Mining and Analysis 1
- Co-authors
- Kasra Hosseini (5 shared papers)Giovanni Colavizza (2 shared papers)Kaspar Beelen (3 shared papers)Barbara McGillivray (2 shared papers)James Baker (1 shared paper)Ernesto Priego (1 shared paper)Federico Nanni (1 shared paper)Jon Lawrence (1 shared paper)
- Journals
- Journal of Victorian Culture (1 paper)LIBER Quarterly The Journal of the Association of European Research Libraries (1 paper)DOAJ (DOAJ: Directory of Open Access Journals) (1 paper)DH (1 paper)UvA-DARE (University of Amsterdam) (1 paper)
- Partner nations
- United KingdomPortugalItaly
In The Last Decade
Daniel van Strien
7 papers receiving 87 citations
Peers
Comparison fields: 5 of 49
- Conservation 16
- Space and Planetary Science 5
- Geography, Planning and Development 12
- Computer Vision and Pattern Recognition 32
- General Social Sciences 4
Countries citing papers authored by Daniel van Strien
This map shows the geographic impact of Daniel van Strien'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 Daniel van Strien with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel van Strien more than expected).
Fields of papers citing papers by Daniel van Strien
This network shows the impact of papers produced by Daniel van Strien. 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 Daniel van Strien. The network helps show where Daniel van Strien may publish in the future.
Co-authors
The 12 scholars most cited alongside Daniel van Strien, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 58 | |
| 2 | 2023 | 10 | |
| 3 | 2021 | 10 | |
| 4 | 2016 | 10 | |
| 5 | 2022 | 7 | |
| 6 | 2019 | 6 | |
| 7 | Using smart annotations to map the geography of newspapers. | 2020 | 1 |
| 8 | 2017 | 0 |
About Daniel van Strien
Daniel van Strien is a scholar working on Geography, Planning and Development, Information Systems, Computer Vision and Pattern Recognition, Artificial Intelligence and Conservation, having authored 8 papers that have together received 102 indexed citations. Recurring topics across this work include Geographic Information Systems Studies (3 papers), Research Data Management Practices (2 papers), Digital and Traditional Archives Management (1 paper), Web Data Mining and Analysis (1 paper), Handwritten Text Recognition Techniques (1 paper), Image Processing and 3D Reconstruction (1 paper), Natural Language Processing Techniques (1 paper) and Engineering and Information Technology (1 paper). The work is most often cited by research in Conservation (16 citations), Space and Planetary Science (5 citations), Geography, Planning and Development (12 citations), Computer Vision and Pattern Recognition (32 citations) and General Social Sciences (4 citations). Daniel van Strien has collaborated with scholars based in United Kingdom, Portugal and Italy. Frequent co-authors include Kasra Hosseini, Giovanni Colavizza, Kaspar Beelen, Barbara McGillivray, James Baker, Ernesto Priego, Federico Nanni, Jon Lawrence, Amrey Krause and Greg Wilson. Their work appears in journals such as Journal of Victorian Culture, LIBER Quarterly The Journal of the Association of European Research Libraries, DOAJ (DOAJ: Directory of Open Access Journals), DH and UvA-DARE (University of Amsterdam).
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.