Guido Bugmann

66 papers receiving 2.0k citations

Hit Papers

Neural network design for engineering applications 2001 · 577 citations
5772001202620092017100200300400500

Peers

Guido Bugmann
Comparison fields: 5 of 143
  • Cognitive Neuroscience 769
  • Human-Computer Interaction 137
  • Cellular and Molecular Neuroscience 405
  • Biomedical Engineering 698
  • Artificial Intelligence 436
Replace Daniel Graupe with:
Daniel Graupe United States
Peng Wen Australia
Guanghua Xu China
Zhiqiang Zhang China
Moongu Jeon South Korea
Samanwoy Ghosh‐Dastidar United States
Jinhua Zhang China
Aimin Jiang China
David Looney United Kingdom
Guido Bugmann relative to Daniel Graupe United States Daniel Graupe's profile →
Citations per field
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Daniel Graupe · 1×
Citations per year

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-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Neural network design for engineering applications
Hit paper breakdown →
2001577
2 2013257
3 2015255
4 2002112
5 199898
6 201281
7 200166
8 199763
9 200234
10 200134
11 199731
12
Corpus-Based Robotics: A Route Instruction Example
200430
13 200130
14 200530
15 201130
16 201328
17 200626
18 199123
19 201822
20 200321

About Guido Bugmann

Guido Bugmann is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Business and International Management, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 67 papers that have together received 2.1k indexed citations. Recurring topics across this work include Neural dynamics and brain function (25 papers), Advanced Memory and Neural Computing (13 papers), Neuroscience and Neural Engineering (12 papers), EEG and Brain-Computer Interfaces (10 papers), Muscle activation and electromyography studies (7 papers), Robotics and Sensor-Based Localization (6 papers), Neural Networks and Applications (6 papers) and Speech and dialogue systems (6 papers). The work is most often cited by research in Cognitive Neuroscience (769 citations), Human-Computer Interaction (137 citations), Cellular and Molecular Neuroscience (405 citations), Biomedical Engineering (698 citations) and Artificial Intelligence (436 citations). Guido Bugmann has collaborated with scholars based in United Kingdom, Japan and United States. Frequent 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. Their work appears in journals such as Biosystems, Neurocomputing, Network Computation in Neural Systems, Neural Computation and Robotics and Autonomous Systems.

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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