Tom Lunney
- Artificial Intelligence top 10%
- Information Systems top 5%
- Computer Networks and Communications top 10%
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Kevin CurranEoghan FureyJosé SantosPaul Mc KevittJoan CondellJulieta NoguezLuis NeriR. H. Perrott
- Topics
- Context-Aware Activity Recognition Systems (9 papers)Internet Traffic Analysis and Secure E-voting (7 papers)Network Security and Intrusion Detection (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaComputer Physics CommunicationsInformation and Software Technology
- Partner nations
- United KingdomUnited StatesMexico
In The Last Decade
Tom Lunney
42 papers receiving 446 citations
Peers
Comparison fields: 5 of 84
- Artificial Intelligence 144
- Information Systems 128
- Computer Networks and Communications 119
- Electrical and Electronic Engineering 99
- Computer Vision and Pattern Recognition 79
Countries citing papers authored by Tom Lunney
This map shows the geographic impact of Tom Lunney'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 Tom Lunney with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom Lunney more than expected).
Fields of papers citing papers by Tom Lunney
This network shows the impact of papers produced by Tom Lunney. 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 Tom Lunney. The network helps show where Tom Lunney may publish in the future.
Co-authorship network of co-authors of Tom Lunney
This figure shows the co-authorship network connecting the top 25 collaborators of Tom Lunney. A scholar is included among the top collaborators of Tom Lunney 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 Tom Lunney. Tom Lunney is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 24 | |
| 3 | 4 | |
| 4 | 3 | |
| 5 | 4 | |
| 6 | A Computational Model of Learners Achievement Emotions Using Control- Value Theory | 7 |
| 7 | 33 | |
| 8 | 5 | |
| 9 | 91 | |
| 10 | 125 | |
| 11 | NewsViz: Emotional Visualization of News Stories | 7 |
| 12 | 1 | |
| 13 | Ambient Interface Design (AID) for Aging, Independence and Disability | 1 |
| 14 | A Context-Aware Platform for Computer Assisted Healthcare | 1 |
| 15 | Location Awareness Trials at the University of Ulster, Networkshop 2008 | 4 |
| 16 | 4 | |
| 17 | 11 | |
| 18 | 8 | |
| 19 | 3 | |
| 20 | 10 |
About Tom Lunney
Tom Lunney is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems, having authored 45 papers that have together received 485 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (9 papers), Internet Traffic Analysis and Secure E-voting (7 papers) and Network Security and Intrusion Detection (7 papers). The work is most often cited by research in Transportation (39 citations), Information Systems (128 citations) and Signal Processing (61 citations). Tom Lunney has collaborated with scholars based in United Kingdom, United States and Mexico. Frequent co-authors include Kevin Curran, Eoghan Furey, José Santos, Paul Mc Kevitt, Joan Condell, Julieta Noguez, Luis Neri, R. H. Perrott, Jennifer Hyndman and T.M. McGinnity. Their work appears in journals such as SHILAP Revista de lepidopterología, Computer Physics Communications and Information and Software Technology.
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.