J. van der Does

440 citations
12 papers · 220 · h-index 7

Impact in

Papers in

J. van der Does

10 papers receiving 201 citations

Peers

J. van der Does
Comparison fields: 5 of 47
  • Language and Linguistics 43
  • Physical and Theoretical Chemistry 27
  • Biomedical Engineering 117
  • Experimental and Cognitive Psychology 33
  • Artificial Intelligence 61
Replace Niels Haandbæk with:
Niels Haandbæk Switzerland
G. M. Moy Australia
Bernd Meurer Germany
Bernhard Altaner Germany
K.‐P. Zeyer Germany
W. L. Sha United States
Jannik Ehrich Canada
Sreekanth K Manikandan Sweden
Slavik Jablan United States
Ruth H. Tichauer Finland
J. van der Does relative to Niels Haandbæk Switzerland Niels Haandbæk's profile →
Citations per field
00.5×1.6×
Niels Haandbæk · 1×
Citations per year

Countries citing papers authored by J. van der Does

Since Specialization
Citations

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

Fields of papers citing papers by J. van der Does

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. van der Does. 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 J. van der Does. The network helps show where J. van der Does may publish in the future.

Co-authors

The 7 scholars most cited alongside J. van der Does, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with J. van der Does Line = papers co-authored together J. van der Does links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 2006116
2 199329
3 199818
4 199116
5 199714
6
Temporal representation and inference
198913
7 20099
8 19982
9 19951
10
Design communication and image processing
19971
11
Architectural and urban simulation techniques in research and education: Developments of analogue and digital eye level visualisation
19981
12 20230

About J. van der Does

J. van der Does is a scholar working on Artificial Intelligence, Language and Linguistics, Computational Theory and Mathematics, Philosophy and Biomedical Engineering, having authored 12 papers that have together received 220 indexed citations. Recurring topics across this work include Logic, Reasoning, and Knowledge (3 papers), Microfluidic and Bio-sensing Technologies (2 papers), Advanced Algebra and Logic (2 papers), Nanopore and Nanochannel Transport Studies (2 papers), Syntax, Semantics, Linguistic Variation (2 papers), 3D Surveying and Cultural Heritage (1 paper), Linguistic Variation and Morphology (1 paper) and Language, Discourse, Communication Strategies (1 paper). The work is most often cited by research in Language and Linguistics (43 citations), Physical and Theoretical Chemistry (27 citations), Biomedical Engineering (117 citations), Experimental and Cognitive Psychology (33 citations) and Artificial Intelligence (61 citations). J. van der Does has collaborated with scholars based in Netherlands, China and United Kingdom. Frequent co-authors include Nynke H. Dekker, Cees Dekker, Ulrich F. Keyser, Frank Veltman, Jon Oberlander, Barry Richards and Martin Stokhof. Their work appears in journals such as Linguistics and Philosophy, Journal of Semantics, Journal of Logic Language and Information, Logic Journal of IGPL and Review of Scientific Instruments.

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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