Hans van Vliet
- Immunology top 0.5%
- Information Systems top 0.1%
- Oncology top 1%
- Artificial Intelligence top 1%
- Molecular Biology top 10%
- Co-authors
- Patricia LagoTanja D. de GruijlRik J. ScheperB. Mary E. von BlombergAlfons J.M. van den EertweghF. NiessinkHerbert M. PinedoAntony Tang
- Topics
- Software Engineering Research (80 papers)Software Engineering Techniques and Practices (78 papers)Immune Cell Function and Interaction (72 papers)
- Journals
- Journal of Clinical OncologySHILAP Revista de lepidopterologíaBlood
- Partner nations
- NetherlandsUnited StatesUnited Kingdom
In The Last Decade
Hans van Vliet
319 papers receiving 8.3k citations
Peers
Comparison fields: 5 of 189
- Immunology 3.3k
- Information Systems 2.5k
- Oncology 2.1k
- Artificial Intelligence 1.4k
- Molecular Biology 875
Countries citing papers authored by Hans van Vliet
This map shows the geographic impact of Hans van Vliet'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 Hans van Vliet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hans van Vliet more than expected).
Fields of papers citing papers by Hans van Vliet
This network shows the impact of papers produced by Hans van Vliet. 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 Hans van Vliet. The network helps show where Hans van Vliet may publish in the future.
Co-authorship network of co-authors of Hans van Vliet
This figure shows the co-authorship network connecting the top 25 collaborators of Hans van Vliet. A scholar is included among the top collaborators of Hans van Vliet 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 Hans van Vliet. Hans van Vliet is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 21 | |
| 6 | 24 | |
| 7 | 25 | |
| 8 | 17 | |
| 9 | 32 | |
| 10 | 39 | |
| 11 | 42 | |
| 12 | 15 | |
| 13 | 11 | |
| 14 | 2 | |
| 15 | Building up and Reasoning about Architectural Knowledge | 23 |
| 16 | 6 | |
| 17 | Characterising cause-and-effect relationships in support of catchment water quality management | 1 |
| 18 | Processing SGML documents | 4 |
| 19 | 11 | |
| 20 | [ANALYSIS OF DEATHS FROM PULMONARY TUBERCULOSIS IN AMSTERDAM IN THE YEARS 1960 AND 1961]. | 1 |
About Hans van Vliet
Hans van Vliet is a scholar working on Information Systems, Computer Science Applications and Immunology, having authored 327 papers that have together received 8.8k indexed citations. Recurring topics across this work include Software Engineering Research (80 papers), Software Engineering Techniques and Practices (78 papers) and Immune Cell Function and Interaction (72 papers). The work is most often cited by research in Immunology (3.3k citations), Software (501 citations) and Information Systems (2.5k citations). Hans van Vliet has collaborated with scholars based in Netherlands, United States and United Kingdom. Frequent co-authors include Patricia Lago, Tanja D. de Gruijl, Rik J. Scheper, B. Mary E. von Blomberg, Alfons J.M. van den Eertwegh, F. Niessink, Herbert M. Pinedo, Antony Tang, Henk M.W. Verheul and Nobusuke Nishi. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.
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.