Ian S. Howard
- Cognitive Neuroscience top 2%
- Biomedical Engineering top 5%
- Social Psychology top 2%
- Developmental and Educational Psychology top 5%
- Experimental and Cognitive Psychology top 10%
- Co-authors
- Daniel M. WolpertJames N. IngramDavid W. FranklinKonrad P. KördingKathryn FrancisSylvia TerbeckGiorgio GanisMichaela Gummerum
- Topics
- Motor Control and Adaptation (22 papers)Action Observation and Synchronization (13 papers)Muscle activation and electromyography studies (13 papers)
- Partner nations
- United KingdomGermanyUnited States
In The Last Decade
Ian S. Howard
50 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 109
- Cognitive Neuroscience 1.1k
- Biomedical Engineering 522
- Social Psychology 490
- Developmental and Educational Psychology 221
- Experimental and Cognitive Psychology 127
Countries citing papers authored by Ian S. Howard
This map shows the geographic impact of Ian S. Howard'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 Ian S. Howard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ian S. Howard more than expected).
Fields of papers citing papers by Ian S. Howard
This network shows the impact of papers produced by Ian S. Howard. 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 Ian S. Howard. The network helps show where Ian S. Howard may publish in the future.
Co-authorship network of co-authors of Ian S. Howard
This figure shows the co-authorship network connecting the top 25 collaborators of Ian S. Howard. A scholar is included among the top collaborators of Ian S. Howard 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 Ian S. Howard. Ian S. Howard 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 | 1 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 13 | |
| 6 | 44 | |
| 7 | 12 | |
| 8 | 85 | |
| 9 | 22 | |
| 10 | 59 | |
| 11 | 32 | |
| 12 | 56 | |
| 13 | 52 | |
| 14 | 167 | |
| 15 | 28 | |
| 16 | 229 | |
| 17 | Training a Vocal Tract Synthesiser to imitate speech using Distal Supervised Learning | 13 |
| 18 | 47 | |
| 19 | Two-level recognition of isolated word using neural nets | 1 |
| 20 | 1 |
About Ian S. Howard
Ian S. Howard is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology and Social Psychology, having authored 58 papers that have together received 1.5k indexed citations. Recurring topics across this work include Motor Control and Adaptation (22 papers), Action Observation and Synchronization (13 papers) and Muscle activation and electromyography studies (13 papers). The work is most often cited by research in Cognitive Neuroscience (1.1k citations), Social Psychology (490 citations) and Physical Therapy, Sports Therapy and Rehabilitation (94 citations). Ian S. Howard has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Daniel M. Wolpert, James N. Ingram, David W. Franklin, Konrad P. Körding, Kathryn Francis, Sylvia Terbeck, Giorgio Ganis, Michaela Gummerum, J. Randall Flanagan and Mark Huckvale. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and PLoS ONE.
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.