Guido Bugmann

2.9k total citations · 1 hit paper
67 papers, 2.1k citations indexed

About

Guido Bugmann is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Artificial Intelligence. According to data from OpenAlex, Guido Bugmann has authored 67 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Cognitive Neuroscience, 19 papers in Cellular and Molecular Neuroscience and 16 papers in Artificial Intelligence. Recurrent topics in Guido Bugmann's work include Neural dynamics and brain function (25 papers), Advanced Memory and Neural Computing (13 papers) and Neuroscience and Neural Engineering (12 papers). Guido Bugmann is often cited by papers focused on Neural dynamics and brain function (25 papers), Advanced Memory and Neural Computing (13 papers) and Neuroscience and Neural Engineering (12 papers). Guido Bugmann collaborates with scholars based in United Kingdom, Japan and United States. Guido Bugmann's co-authors include Dave Easterbrook, Muhammad Rafiq, Ali H. Al‐Timemy, Javier Escudero, Theocharis Kyriacou, Stanislao Lauria, Nicholas Outram, Rami N. Khushaba, Chris Christodoulou and Ewan Klein and has published in prestigious journals such as Brain Research, Trends in biotechnology and Sensors.

In The Last Decade

Guido Bugmann

66 papers receiving 2.0k citations

Hit Papers

Neural network design for engineering applications 2001 2026 2009 2017 2001 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Neural network design for engineering applications
    2001 577 citations Guido Bugmann et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guido Bugmann United Kingdom 21 769 698 436 405 286 67 2.1k
Sarath Kodagoda Australia 25 990 1.3× 958 1.4× 393 0.9× 365 0.9× 259 0.9× 166 3.4k
Daniel Graupe United States 28 1.1k 1.4× 1.3k 1.8× 669 1.5× 740 1.8× 133 0.5× 127 3.5k
Peng Wen Australia 29 1.7k 2.3× 434 0.6× 276 0.6× 219 0.5× 104 0.4× 194 3.1k
David Looney United Kingdom 23 1.3k 1.6× 385 0.6× 79 0.2× 370 0.9× 113 0.4× 51 2.1k
Yang Zheng China 26 418 0.5× 444 0.6× 188 0.4× 209 0.5× 110 0.4× 104 2.4k
Cheolsoo Park South Korea 21 783 1.0× 389 0.6× 100 0.2× 234 0.6× 86 0.3× 121 1.9k
Lihua Zhang China 19 312 0.4× 890 1.3× 347 0.8× 92 0.2× 117 0.4× 162 2.4k
Guanghua Xu China 28 850 1.1× 358 0.5× 195 0.4× 387 1.0× 208 0.7× 193 3.2k
Gui‐Bin Bian China 26 589 0.8× 765 1.1× 356 0.8× 94 0.2× 62 0.2× 140 2.9k
Zhiqiang Zhang China 35 553 0.7× 1.3k 1.9× 641 1.5× 165 0.4× 76 0.3× 242 3.9k

Countries citing papers authored by Guido Bugmann

Since Specialization
Citations

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

Fields of papers citing papers by Guido Bugmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guido Bugmann

This figure shows the co-authorship network connecting the top 25 collaborators of Guido Bugmann. A scholar is included among the top collaborators of Guido Bugmann 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 Guido Bugmann. Guido Bugmann 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.
Bugmann, Guido, et al.. (2018). Paving the Way to Eureka—Introducing “Dira” as an Experimental Paradigm to Observe the Process of Creative Problem Solving. Frontiers in Psychology. 9. 1773–1773. 10 indexed citations
2.
Bugmann, Guido, et al.. (2015). On learning time delays between the spikes from different input neurons in a biophysical model of a pyramidal neuron. Biosystems. 136. 80–89. 1 indexed citations
3.
Culverhouse, Phil, et al.. (2014). On quaternion based parameterization of orientation in computer vision and robotics. Journal of Engineering Science and Technology Review. 7(1). 82–93. 5 indexed citations
4.
Al‐Timemy, Ali H., Guido Bugmann, Javier Escudero, & Nicholas Outram. (2013). Classification of Finger Movements for the Dexterous Hand Prosthesis Control With Surface Electromyography. IEEE Journal of Biomedical and Health Informatics. 17(3). 608–618. 257 indexed citations
5.
Bugmann, Guido, Jeremy Goslin, & Patricia Duchamp‐Viret. (2013). The speed of learning instructed stimulus-response association rules in human: Experimental data and model. Brain Research. 1536. 2–15. 1 indexed citations
6.
Culverhouse, Phil, et al.. (2013). On quaternion based parameterization of orientation in computer vision and robotics. Journal of Engineering Science and Technology Review. 6(5). 15–24. 5 indexed citations
7.
Nazarpour, Kianoush, Ali H. Al‐Timemy, Guido Bugmann, & Andrew Jackson. (2012). A note on the probability distribution function of the surface electromyogram signal. Brain Research Bulletin. 90. 88–91. 81 indexed citations
8.
9.
Gibbons, Peter, Phil Culverhouse, & Guido Bugmann. (2010). Visual Identification of Grasp Locations on Clothing for a Personal Robot. 8 indexed citations
10.
Bugmann, Guido. (2009). A Neural Architecture for Fast Learning of Stimulus- Response Associations.. Indian International Conference on Artificial Intelligence. 7(1). 828–841. 2 indexed citations
11.
Cangelosi, Angelo, Guido Bugmann, & Roman Borisyuk. (2005). Modeling language, cognition and action : proceedings of the ninth Neural Computation and Psychology Workshop, University of Plymouth, UK, 8-10 September 2004. Research Explorer (The University of Manchester). 8 indexed citations
12.
Bugmann, Guido & John G. Taylor. (2004). A model of visual backward masking. Biosystems. 79(1-3). 151–158. 12 indexed citations
13.
Bugmann, Guido. (2002). Synaptic depression increases the selectivity of a neuron to its preferred pattern and binarizes the neural code. Biosystems. 67(1-3). 17–25. 8 indexed citations
14.
Lauria, Stanislao, Guido Bugmann, Theocharis Kyriacou, Johan Bos, & Ewan Klein. (2001). Personal Robot Training via Natural-Language Instructions. Research at York St John (York St John University). 11 indexed citations
15.
Bugmann, Guido & Raju S. Bapi. (2000). Modelling relative recency discrimination tasks using a stochastic working memory model. Biosystems. 58(1-3). 195–202. 3 indexed citations
16.
Christodoulou, Chris & Guido Bugmann. (2000). Near Poisson-type firing produced by concurrent excitation and inhibition. Biosystems. 58(1-3). 41–48. 20 indexed citations
17.
Bugmann, Guido. (1998). Normalized Gaussian Radial Basis Function networks. Neurocomputing. 20(1-3). 97–110. 98 indexed citations
18.
Bugmann, Guido. (1997). Biologically plausible neural computation. Biosystems. 40(1-2). 11–19. 31 indexed citations
19.
Bugmann, Guido, et al.. (1995). Planning and learning goal-directed sequences of robot arm movements. 6 indexed citations
20.
Bugmann, Guido. (1992). Multiplying with neurons: Compensation for irregular input spike trains by using time-dependent synaptic efficiencies. Biological Cybernetics. 68(1). 87–92. 14 indexed citations

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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