Jan van Eijk

703 citations
45 papers · 446 · h-index 12

Impact in

Papers in

Jan van Eijk

40 papers receiving 381 citations

Peers

Jan van Eijk
Comparison fields: 5 of 98
  • Microbiology 24
  • Atmospheric Science 105
  • Linguistics and Language 26
  • Control and Systems Engineering 103
  • Language and Linguistics 36
Replace Eric W. Curtis with:
Eric W. Curtis United States
Hongyan Wang China
Q Zhang China
Robert J. Gustafson United States
Xingguo Xiong United States
Hannes Petermeier Germany
Seonghan Kim South Korea
Yijing Wang China
David J. Torres United States
Zhijun Li China
Jan van Eijk relative to Eric W. Curtis United States Eric W. Curtis's profile →
Citations per field
00.5×6.2×
Eric W. Curtis · 1×
Citations per year

Countries citing papers authored by Jan van Eijk

Since Specialization
Citations

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

Fields of papers citing papers by Jan van Eijk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jan van Eijk. 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 Jan van Eijk. The network helps show where Jan van Eijk may publish in the future.

Co-authors

The 25 scholars most cited alongside Jan van Eijk, 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 Jan van Eijk Line = papers co-authored together Jan van Eijk links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199256
2 199748
3 200647
4 200641
5
The Lillooet Language: Phonology, Morphology, Syntax
199739
6
On the design of plate-spring mechanisms
198528
7 197924
8 199116
9 197616
10 200915
11 201513
12 199411
13 197711
14 201011
15 20078
16 20087
17 20116
18 19785
19 20094
20 20123

About Jan van Eijk

Jan van Eijk is a scholar working on Mechanical Engineering, Electrical and Electronic Engineering, Control and Systems Engineering, Atomic and Molecular Physics, and Optics and Plant Science, having authored 45 papers that have together received 446 indexed citations. Recurring topics across this work include Force Microscopy Techniques and Applications (6 papers), Adhesion, Friction, and Surface Interactions (5 papers), Advanced MEMS and NEMS Technologies (5 papers), Advanced Measurement and Metrology Techniques (5 papers), Advanced machining processes and optimization (4 papers), Atmospheric chemistry and aerosols (4 papers), Noise Effects and Management (4 papers) and Piezoelectric Actuators and Control (4 papers). The work is most often cited by research in Microbiology (24 citations), Atmospheric Science (105 citations), Linguistics and Language (26 citations), Control and Systems Engineering (103 citations) and Language and Linguistics (36 citations). Jan van Eijk has collaborated with scholars based in Netherlands, Italy and Germany. Frequent co-authors include Joshua Dijksman, D. Kotzias, E J Meuleman, L. Torres, Ron A.J. van Ostayen, Patrick Sturm, T. Schülin, Wouter J. Middelhoven, Georg Schitter and Jo W. Spronck. Their work appears in journals such as Microelectronic Engineering, Journal of Micromechanics and Microengineering, Applied Acoustics, Atmospheric Environment and Antonie van Leeuwenhoek.

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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