Rem Collier
Impact in
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- Energy Efficient Wireless Sensor Networks
- IoT and Edge/Fog Computing
- Mobile Agent-Based Network Management
- Artificial Intelligence top 2%
- Multi-Agent Systems and Negotiation
- Advanced Software Engineering Methodologies
Papers in
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- Multi-Agent Systems and Negotiation 61
- Advanced Software Engineering Methodologies 18
- Logic, programming, and type systems 4
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- Energy Efficient Wireless Sensor Networks 7
- Mobile Agent-Based Network Management 7
- Co-authors
- Gregory M. P. O’Hare (59 shared papers)Lina Xu (6 shared papers)David Lillis (28 shared papers)Michael J. O’Grady (19 shared papers)Conor Muldoon (11 shared papers)John Dunnion (8 shared papers)Fergus Toolan (8 shared papers)Robert Ross (4 shared papers)
In The Last Decade
Rem Collier
100 papers receiving 1.4k citations
Rem Collier's Hit Papers
Peers
Comparison fields: 5 of 66
- Computer Networks and Communications 497
- Artificial Intelligence 491
- Information Systems 214
- Computer Vision and Pattern Recognition 123
- Plant Science 158
Countries citing papers authored by Rem Collier
This map shows the geographic impact of Rem Collier'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 Rem Collier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rem Collier more than expected).
Fields of papers citing papers by Rem Collier
This network shows the impact of papers produced by Rem Collier. 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 Rem Collier. The network helps show where Rem Collier may publish in the future.
Co-authors
The 25 scholars most cited alongside Rem Collier, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 107 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A Survey of Clustering Techniques in WSNs and Consideration of the Challenges of Applying Such to 5G IoT Scenarios Hit paper breakdown → | 2017 | 266 |
| 2 | 2021 | 150 | |
| 3 | 2006 | 77 | |
| 4 | 2006 | 73 | |
| 5 | 2017 | 50 | |
| 6 | 2007 | 43 | |
| 7 | 2024 | 35 | |
| 8 | 2019 | 32 | |
| 9 | 2005 | 31 | |
| 10 | 2014 | 31 | |
| 11 | 2009 | 29 | |
| 12 | 2015 | 29 | |
| 13 | 2023 | 28 | |
| 14 | 2007 | 27 | |
| 15 | 2018 | 26 | |
| 16 | 2012 | 25 | |
| 17 | 2003 | 22 | |
| 18 | 2011 | 21 | |
| 19 | 2004 | 20 | |
| 20 | 2010 | 20 |
About Rem Collier
Rem Collier is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Computer Vision and Pattern Recognition and Management Science and Operations Research, having authored 107 papers that have together received 1.5k indexed citations. Recurring topics across this work include Multi-Agent Systems and Negotiation (61 papers), Advanced Software Engineering Methodologies (18 papers), Context-Aware Activity Recognition Systems (13 papers), Information Retrieval and Search Behavior (8 papers), Energy Efficient Wireless Sensor Networks (7 papers), Mobile Agent-Based Network Management (7 papers), Smart Agriculture and AI (5 papers) and Logic, programming, and type systems (4 papers). The work is most often cited by research in Computer Networks and Communications (497 citations), Artificial Intelligence (491 citations), Information Systems (214 citations), Computer Vision and Pattern Recognition (123 citations) and Plant Science (158 citations). Rem Collier has collaborated with scholars based in Ireland, Italy and Germany. Frequent co-authors include Gregory M. P. O’Hare, Lina Xu, David Lillis, Michael J. O’Grady, Conor Muldoon, John Dunnion, Fergus Toolan, Robert Ross, Mauro Dragone and Eoin O’Neill. Their work appears in journals such as Lecture notes in computer science, Sensors, Artificial Intelligence Review, IEEE Internet of Things Journal and Agronomy.
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.