Lambert Spaanenburg

1.0k total citations
96 papers, 577 citations indexed

About

Lambert Spaanenburg is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Computer Networks and Communications. According to data from OpenAlex, Lambert Spaanenburg has authored 96 papers receiving a total of 577 indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Artificial Intelligence, 37 papers in Electrical and Electronic Engineering and 22 papers in Computer Networks and Communications. Recurrent topics in Lambert Spaanenburg's work include Neural Networks and Applications (46 papers), Advanced Memory and Neural Computing (19 papers) and Neural Networks Stability and Synchronization (18 papers). Lambert Spaanenburg is often cited by papers focused on Neural Networks and Applications (46 papers), Advanced Memory and Neural Computing (19 papers) and Neural Networks Stability and Synchronization (18 papers). Lambert Spaanenburg collaborates with scholars based in Netherlands, Sweden and Germany. Lambert Spaanenburg's co-authors include J.A.G. Nijhuis, Josien P. W. Pluim, Michel A. Westenberg, Berend Jan van der Zwaag, Cornelis H. Slump, Walter Jansen, B. Höfflinger, J. Leenstra, B. Hoefflinger and André van Schaik and has published in prestigious journals such as IEEE Journal of Solid-State Circuits, Electronics Letters and IEEE Micro.

In The Last Decade

Lambert Spaanenburg

78 papers receiving 498 citations

Peers

Lambert Spaanenburg
Comparison fields: 5 of 61
  • Computer Vision and Pattern Recognition 247
  • Artificial Intelligence 230
  • Media Technology 197
  • Electrical and Electronic Engineering 112
  • Control and Systems Engineering 98
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Citations per field, relative to Lambert Spaanenburg
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Citations per year, relative to Lambert Spaanenburg
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Countries citing papers authored by Lambert Spaanenburg

Since Specialization
Citations

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

Fields of papers citing papers by Lambert Spaanenburg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lambert Spaanenburg

This figure shows the co-authorship network connecting the top 25 collaborators of Lambert Spaanenburg. A scholar is included among the top collaborators of Lambert Spaanenburg 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 Lambert Spaanenburg. Lambert Spaanenburg 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
# Work Indexed citations
1
General introduction to ASIC design
0
2 16
3
Signal processing and alarm handling in process control
1
4
CNN image processing on a Xilinx Virtex-II 6000
13
5
Extracting Knowledge from Neural Networks in Image Processing
2
6
Intelligent reduction of nuisance alarms in process control
3
7 25
8
CELLULAR NEURAL NETWORKS AND THEIR APPLICATIONS
6
9
Analysis of neural networks in terms of domain functions
7
10 2
11 9
12
Embedded Systems Roadmap -- Vision on technology for the future of PROGRESS
5
13 3
14
Determination of size distribution using neural networks
1
15
Mapping a Trained Neural Network on Hardware.
2
16
Cascade learning for FIR-TDNNs.
2
17
1995 IEEE INTERNATIONAL CONFERENCE ON NEURAL NETWORKS PROCEEDINGS, VOLS 1-6
7
18 0
19 12
20 19

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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