Guido Bugmann

85 papers receiving 2.3k citations

Guido Bugmann's Hit Papers

Neural network design for engineering applications 2001 · 594 citations
5940+8+16Years since publication100200300400500

Peers

Guido Bugmann
Comparison fields: 5 of 144
  • Cognitive Neuroscience 829
  • Human-Computer Interaction 160
  • Cellular and Molecular Neuroscience 432
  • Biomedical Engineering 758
  • Artificial Intelligence 532
Replace Peng Wen with:
Peng Wen Australia
Guanghua Xu China
Mohammad Hassan Moradi Iran
Samanwoy Ghosh‐Dastidar United States
Wei Wu China
Cheolsoo Park South Korea
Fengyu Cong China
Jinhua Zhang China
Zhi‐Hong Mao United States
Hong Liu China
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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 87 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Neural network design for engineering applications
Hit paper breakdown →
2001594
2 2015279
3 2013273
4 2002124
5 1998113
6 201287
7 200175
8 199769
9 200237
10 201137
11 201136
12 200135
13 200135
14 199734
15 201333
16 200532
17
Corpus-Based Robotics: A Route Instruction Example
200429
18 200627
19 200327
20 199126

About Guido Bugmann

Guido Bugmann is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Artificial Intelligence, Statistical and Nonlinear Physics and Computer Vision and Pattern Recognition, having authored 87 papers that have together received 2.4k indexed citations. Recurring topics across this work include Neural dynamics and brain function (31 papers), Advanced Memory and Neural Computing (15 papers), Neuroscience and Neural Engineering (13 papers), EEG and Brain-Computer Interfaces (12 papers), Neural Networks and Applications (9 papers), Muscle activation and electromyography studies (9 papers), stochastic dynamics and bifurcation (8 papers) and Speech and dialogue systems (6 papers). The work is most often cited by research in Cognitive Neuroscience (829 citations), Human-Computer Interaction (160 citations), Cellular and Molecular Neuroscience (432 citations), Biomedical Engineering (758 citations) and Artificial Intelligence (532 citations). Guido Bugmann has collaborated with scholars based in United Kingdom, Iraq and United States. Frequent co-authors include Dave Easterbrook, Muhammad Tahir Rafiq, Ali Hussein Al-Timemy, Javier Escudero, Stanislao Lauria, Theocharis Kyriacou, Nicholas Outram, Chris C. Christodoulou, Rami N. Khushaba and Ewan Klein. Their work appears in journals such as Biosystems, Neurocomputing, Robotics and Autonomous Systems, Neural Computation and IEEE Intelligent 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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