Neil Mayo
- Artificial Intelligence top 5%
- Experimental and Cognitive Psychology top 10%
- Cognitive Neuroscience
- Language and Linguistics top 5%
- Sensory Systems top 10%
- Co-authors
- Julia SimnerMary Jane SpillerMaria WoltersVasilis KaraiskosFrank KellerJohanna D. MooreRobert H. LogieMartin Corley
- Topics
- Innovative Teaching and Learning Methods (2 papers)Speech and dialogue systems (2 papers)Speech and Audio Processing (2 papers)
- Partner nations
- United KingdomSpainUnited States
In The Last Decade
Neil Mayo
9 papers receiving 431 citations
Peers
Comparison fields: 5 of 62
- Artificial Intelligence 247
- Experimental and Cognitive Psychology 150
- Cognitive Neuroscience 100
- Language and Linguistics 65
- Sensory Systems 46
Countries citing papers authored by Neil Mayo
This map shows the geographic impact of Neil Mayo'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 Neil Mayo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neil Mayo more than expected).
Fields of papers citing papers by Neil Mayo
This network shows the impact of papers produced by Neil Mayo. 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 Neil Mayo. The network helps show where Neil Mayo may publish in the future.
Co-authorship network of co-authors of Neil Mayo
This figure shows the co-authorship network connecting the top 25 collaborators of Neil Mayo. A scholar is included among the top collaborators of Neil Mayo 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 Neil Mayo. Neil Mayo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 90 | |
| 2 | 93 | |
| 3 | 86 | |
| 4 | A Fully Annotated Corpus for Studying the Effect of Cognitive Ageing on Users' Interactions with Spoken Dialogue Systems | 12 |
| 5 | YouTute: Online Social Networking for Vicarious Learning | 2 |
| 6 | Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC'08) | 167 |
| 7 | A Scalable Home Care System Infrastructure Supporting Domiciliary Care | 2 |
| 8 | 5 | |
| 9 | 1 | |
| 10 | 0 |
About Neil Mayo
Neil Mayo is a scholar working on Signal Processing, Experimental and Cognitive Psychology and Computer Science Applications, having authored 10 papers that have together received 458 indexed citations. Recurring topics across this work include Innovative Teaching and Learning Methods (2 papers), Speech and dialogue systems (2 papers) and Speech and Audio Processing (2 papers). The work is most often cited by research in Experimental and Cognitive Psychology (150 citations), Sensory Systems (46 citations) and Artificial Intelligence (247 citations). Neil Mayo has collaborated with scholars based in United Kingdom, Spain and United States. Frequent co-authors include Julia Simner, Mary Jane Spiller, Maria Wolters, Vasilis Karaiskos, Frank Keller, Johanna D. Moore, Robert H. Logie, Martin Corley, Jean Carletta and Mark Steedman. Their work appears in journals such as Cortex, Behavior Research Methods and Language Resources and Evaluation.
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.