Ian McChesney
- Information Systems top 5%
- Artificial Intelligence
- Software top 10%
- Computer Networks and Communications
- Computer Vision and Pattern Recognition
- Co-authors
- Raymond BondJesús FavelaBert ArnrichJens LundströmF. G. WilkiePhilip MorrowSally McCleanChris Nugent
- Topics
- Software Engineering Research (9 papers)Software Engineering Techniques and Practices (6 papers)Context-Aware Activity Recognition Systems (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessIEEE Sensors Journal
- Partner nations
- United KingdomMexicoGermany
In The Last Decade
Ian McChesney
28 papers receiving 236 citations
Peers
Comparison fields: 5 of 63
- Information Systems 129
- Artificial Intelligence 45
- Software 44
- Computer Networks and Communications 41
- Computer Vision and Pattern Recognition 40
Countries citing papers authored by Ian McChesney
This map shows the geographic impact of Ian McChesney'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 McChesney with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ian McChesney more than expected).
Fields of papers citing papers by Ian McChesney
This network shows the impact of papers produced by Ian McChesney. 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 McChesney. The network helps show where Ian McChesney may publish in the future.
Co-authorship network of co-authors of Ian McChesney
This figure shows the co-authorship network connecting the top 25 collaborators of Ian McChesney. A scholar is included among the top collaborators of Ian McChesney 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 McChesney. Ian McChesney 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 | 2 | |
| 3 | 2 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 17 | |
| 8 | 41 | |
| 9 | 6 | |
| 10 | 5 | |
| 11 | 18 | |
| 12 | 13 | |
| 13 | Do Computer Programmers With Dyslexia See Things Differently? A Computational Eye Tracking Study | 1 |
| 14 | 11 | |
| 15 | 8 | |
| 16 | 23 | |
| 17 | 54 | |
| 18 | 0 | |
| 19 | 1 | |
| 20 | 6 |
About Ian McChesney
Ian McChesney is a scholar working on Human Factors and Ergonomics, Computer Science Applications and Health Informatics, having authored 31 papers that have together received 259 indexed citations. Recurring topics across this work include Software Engineering Research (9 papers), Software Engineering Techniques and Practices (6 papers) and Context-Aware Activity Recognition Systems (6 papers). The work is most often cited by research in Software (44 citations), Computer Science Applications (34 citations) and Information Systems (129 citations). Ian McChesney has collaborated with scholars based in United Kingdom, Mexico and Germany. Frequent co-authors include Raymond Bond, Jesús Favela, Bert Arnrich, Jens Lundström, F. G. Wilkie, Philip Morrow, Sally McClean, Chris Nugent, Joseph Rafferty and Shuai Zhang. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and IEEE Sensors Journal.
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.