Guido Bologna
- Artificial Intelligence top 5%
- Molecular Biology
- Cognitive Neuroscience top 10%
- Accounting top 10%
- Human-Computer Interaction top 5%
- Co-authors
- Yoichi HayashiCédric YvonAnne‐Lise VeutheyThierry PunSéverine DuvaudRon D. AppelChristian PellegriniJoseph T. Wells
- Topics
- Tactile and Sensory Interactions (16 papers)Neural Networks and Applications (13 papers)Rough Sets and Fuzzy Logic (10 papers)
- Partner nations
- SwitzerlandJapanGreece
In The Last Decade
Guido Bologna
47 papers receiving 743 citations
Peers
Comparison fields: 5 of 127
- Artificial Intelligence 255
- Molecular Biology 149
- Cognitive Neuroscience 143
- Accounting 77
- Human-Computer Interaction 72
Countries citing papers authored by Guido Bologna
This map shows the geographic impact of Guido Bologna'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 Bologna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guido Bologna more than expected).
Fields of papers citing papers by Guido Bologna
This network shows the impact of papers produced by Guido Bologna. 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 Bologna. The network helps show where Guido Bologna may publish in the future.
Co-authorship network of co-authors of Guido Bologna
This figure shows the co-authorship network connecting the top 25 collaborators of Guido Bologna. A scholar is included among the top collaborators of Guido Bologna 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 Bologna. Guido Bologna is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 20 | |
| 3 | 12 | |
| 4 | 24 | |
| 5 | 10 | |
| 6 | 7 | |
| 7 | 1 | |
| 8 | 10 | |
| 9 | Sonification of Colour and Depth in a Mobility Aid for Blind People | 8 |
| 10 | 29 | |
| 11 | 34 | |
| 12 | On the Validation of the DIMLP Neural Network | 1 |
| 13 | Avoiding Cyber Fraud in Small Businesses: What Auditors and Owners Need to Know | 2 |
| 14 | 2 | |
| 15 | Three medical examples in neural network rule extraction | 18 |
| 16 | The accountant's handbook of information technology | 7 |
| 17 | 0 | |
| 18 | Fraud auditing and forensic accounting : new tools and techniques | 60 |
| 19 | The Accountant's Handbook of Fraud and Commercial Crime | 35 |
| 20 | The ethics of managing information | 6 |
About Guido Bologna
Guido Bologna is a scholar working on Cognitive Neuroscience, Computational Theory and Mathematics and Experimental and Cognitive Psychology, having authored 52 papers that have together received 794 indexed citations. Recurring topics across this work include Tactile and Sensory Interactions (16 papers), Neural Networks and Applications (13 papers) and Rough Sets and Fuzzy Logic (10 papers). The work is most often cited by research in Health Informatics (19 citations), Human-Computer Interaction (72 citations) and Artificial Intelligence (255 citations). Guido Bologna has collaborated with scholars based in Switzerland, Japan and Greece. Frequent co-authors include Yoichi Hayashi, Cédric Yvon, Anne‐Lise Veuthey, Thierry Pun, Séverine Duvaud, Ron D. Appel, Christian Pellegrini, Joseph T. Wells, Dimitrios Tzovaras and Κωνσταντίνος Μουστάκας. Their work appears in journals such as European Urology, Neurocomputing and PROTEOMICS.
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.