Wim Rutten

3.2k total citations
130 papers, 2.4k citations indexed

About

Wim Rutten is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Biomedical Engineering. According to data from OpenAlex, Wim Rutten has authored 130 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 95 papers in Cellular and Molecular Neuroscience, 74 papers in Cognitive Neuroscience and 56 papers in Biomedical Engineering. Recurrent topics in Wim Rutten's work include Neuroscience and Neural Engineering (94 papers), Neural dynamics and brain function (44 papers) and Muscle activation and electromyography studies (39 papers). Wim Rutten is often cited by papers focused on Neuroscience and Neural Engineering (94 papers), Neural dynamics and brain function (44 papers) and Muscle activation and electromyography studies (39 papers). Wim Rutten collaborates with scholars based in Netherlands, Switzerland and United States. Wim Rutten's co-authors include Joost le Feber, E. Marani, P.S. Wolters, G.J.A. Ramakers, Jan R. Buitenweg, H.B.K. Boom, M.A. Corner, Jan Stegenga, Tjitske Heida and J. van Pelt and has published in prestigious journals such as PLoS ONE, Proceedings of the IEEE and Biophysical Journal.

In The Last Decade

Wim Rutten

121 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wim Rutten Netherlands 28 1.6k 1.3k 900 506 113 130 2.4k
Alberto Mazzoni Italy 27 1.6k 1.0× 2.0k 1.5× 917 1.0× 401 0.8× 120 1.1× 115 3.0k
Karen A. Moxon United States 31 2.5k 1.6× 2.5k 1.9× 602 0.7× 463 0.9× 179 1.6× 86 3.9k
Claude Veraart Belgium 30 1.5k 0.9× 2.2k 1.7× 370 0.4× 658 1.3× 198 1.8× 88 3.3k
Hongbo Jia China 25 977 0.6× 785 0.6× 420 0.5× 596 1.2× 307 2.7× 82 2.6k
Philip R. Kennedy United States 17 1.2k 0.8× 1.5k 1.1× 306 0.3× 374 0.7× 64 0.6× 32 2.0k
Eran Stark Israel 26 2.8k 1.8× 2.7k 2.0× 473 0.5× 506 1.0× 214 1.9× 50 3.6k
Victor Pikov United States 22 884 0.6× 475 0.4× 484 0.5× 410 0.8× 86 0.8× 62 1.6k
Hirokazu Takahashi Japan 24 697 0.4× 1.1k 0.8× 395 0.4× 488 1.0× 146 1.3× 175 2.5k
Garrett B. Stanley United States 30 2.2k 1.4× 2.7k 2.1× 271 0.3× 477 0.9× 232 2.1× 83 3.5k
Timothy H. Lucas United States 33 1.5k 0.9× 1.6k 1.3× 841 0.9× 684 1.4× 243 2.2× 105 3.9k

Countries citing papers authored by Wim Rutten

Since Specialization
Citations

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

Fields of papers citing papers by Wim Rutten

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wim Rutten. 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 Wim Rutten. The network helps show where Wim Rutten may publish in the future.

Co-authorship network of co-authors of Wim Rutten

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

All Works

20 of 20 papers shown
1.
Feber, Joost le, et al.. (2015). Barbed channels enhance unidirectional connectivity between neuronal networks cultured on multi electrode arrays. Frontiers in Neuroscience. 9. 412–412. 39 indexed citations
2.
Marani, E., et al.. (2011). Neural cell–cell and cell–substrate adhesion through N-cadherin, N-CAM and L1. Journal of Neural Engineering. 8(4). 46004–46004. 8 indexed citations
3.
Wieringa, Paul, et al.. (2010). Bifurcating microchannels as a scaffold to induce separation of regenerating neurites. Journal of Neural Engineering. 7(1). 16001–16001. 16 indexed citations
4.
Stoyanova, Irina I., et al.. (2009). Time-dependent changes in ghrelin-immunoreactivity in dissociated neuronal cultures of the newborn rat neocortex. Regulatory Peptides. 158(1-3). 86–90. 7 indexed citations
5.
Wolters, P.S., et al.. (2004). Long-Term Characterization of Firing Dynamics of Spontaneous Bursts in Cultured Neural Networks. IEEE Transactions on Biomedical Engineering. 51(11). 2051–2062. 228 indexed citations
6.
Smit, J.P.A. & Wim Rutten. (2002). Intraneural stimulation using 2D wire-microelectrode arrays. I. Experimental results. University of Twente Research Information. 2. 1095–1096. 2 indexed citations
7.
Smit, J.P.A. & Wim Rutten. (2002). Intraneural stimulation using 2D wire-microelectrode arrays. II. Comparison with single-wire electrode results. University of Twente Research Information. 2. 1097–1098. 1 indexed citations
8.
Smit, J.P.A. & Wim Rutten. (2002). A technique for electrically inserting electrode arrays into peripheral nerves. University of Twente Research Information. 800–801. 1 indexed citations
9.
Buitenweg, Jan R., Wim Rutten, & E. Marani. (2002). Geometry based dynamic modeling of the neuron-electrode interface. University of Twente Research Information. 3. 2004–2007. 3 indexed citations
10.
Buitenweg, Jan R., Wim Rutten, & E. Marani. (2002). Finite element modeling of the neuron-electrode interface: sealing resistance and stimulus transfer at transitions from complete to defect sealing. University of Twente Research Information. 6. 2854–2857. 2 indexed citations
11.
Smit, J.P.A., Wim Rutten, & H.B.K. Boom. (2002). Intraneural stimulation using wire-microelectrode arrays: analysis of force steps in recruitment curves. University of Twente Research Information. 1. 335–336. 1 indexed citations
12.
Buitenweg, Jan R., Wim Rutten, & Enrico Marani. (2001). Nano-ampère stimulation window explained by geometry based model of the neuron-electrode contact. University of Twente Research Information. 27–29. 1 indexed citations
13.
Heida, Tjitske, Wim Rutten, & E. Marani. (2001). Dielectrophoretic trapping of dissociated fetal cortical rat neurons. IEEE Transactions on Biomedical Engineering. 48(8). 921–930. 47 indexed citations
14.
Smit, J.P.A., Wim Rutten, & H.B.K. Boom. (1999). Endoneural selective stimulating using wire-microelectrode arrays. IEEE Transactions on Rehabilitation Engineering. 7(4). 399–412. 12 indexed citations
15.
Rutten, Wim, et al.. (1998). Extracellular potentials from active myelinated fibers inside insulated and noninsulated peripheral nerve. IEEE Transactions on Biomedical Engineering. 45(9). 1146–1153. 15 indexed citations
16.
Rutten, Wim, et al.. (1997). Two-dimensional neuro-electronic interface devices: force recruitment, selectivity and efficiency. Medical & Biological Engineering & Computing. 1997. 1–6. 3 indexed citations
17.
Rutten, Wim, et al.. (1995). 3D neuro-electronic interface devices for neuromuscular control: Design studies and realisation steps. Biosensors and Bioelectronics. 10(1-2). 141–153. 29 indexed citations
18.
Rutten, Wim. (1992). Neurostimulation and neurosensing with multicontact neuro-electronic interfaces. University of Twente Research Information. 254–258.
19.
Rutten, Wim, et al.. (1990). Influence of a frequency-dependent medium around a network model, used for the simulation of single-fibre action potentials. Medical & Biological Engineering & Computing. 28(5). 492–497. 8 indexed citations
20.

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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