Jim Harkin
Impact in
-
- Neuroscience and Neural Engineering
- Neuroscience and Neuropharmacology Research
- Hardware and Architecture top 5%
Papers in
-
- Advanced Memory and Neural Computing 54
- CCD and CMOS Imaging Sensors 9
-
- Neuroscience and Neural Engineering 40
- Neuroscience and Neuropharmacology Research 13
- Co-authors
- Liam McDaid (60 shared papers)Liam Maguire (34 shared papers)Junxiu Liu (38 shared papers)T.M. McGinnity (30 shared papers)Michael Callaghan (20 shared papers)John Wade (15 shared papers)Yuling Luo (11 shared papers)Fearghal Morgan (18 shared papers)
- Journals
- Neurocomputing (3 papers)Frontiers in Cellular Neuroscience (3 papers)IEEE Transactions on Neural Networks and Learning Systems (3 papers)Journal of Parallel and Distributed Computing (2 papers)Neural Processing Letters (2 papers)
- Partner nations
- United KingdomUnited StatesIreland
In The Last Decade
Jim Harkin
120 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 121
- Cellular and Molecular Neuroscience 726
- Hardware and Architecture 226
- Media Technology 252
- Cognitive Neuroscience 514
- Architecture 33
Countries citing papers authored by Jim Harkin
This map shows the geographic impact of Jim Harkin'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 Jim Harkin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jim Harkin more than expected).
Fields of papers citing papers by Jim Harkin
This network shows the impact of papers produced by Jim Harkin. 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 Jim Harkin. The network helps show where Jim Harkin may publish in the future.
Co-authors
The 25 scholars most cited alongside Jim Harkin, 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 125 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 134 | |
| 2 | 2011 | 96 | |
| 3 | 2012 | 92 | |
| 4 | 2017 | 81 | |
| 5 | 2015 | 71 | |
| 6 | 2012 | 71 | |
| 7 | 2012 | 50 | |
| 8 | 2017 | 50 | |
| 9 | 2018 | 49 | |
| 10 | 2015 | 42 | |
| 11 | 2015 | 41 | |
| 12 | 2009 | 39 | |
| 13 | 2020 | 39 | |
| 14 | 2013 | 38 | |
| 15 | 2018 | 38 | |
| 16 | 2017 | 38 | |
| 17 | 2011 | 37 | |
| 18 | 2016 | 34 | |
| 19 | 2015 | 34 | |
| 20 | 2008 | 31 |
About Jim Harkin
Jim Harkin is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience, Cognitive Neuroscience, Media Technology and Computer Networks and Communications, having authored 125 papers that have together received 2.0k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (54 papers), Neuroscience and Neural Engineering (40 papers), Neural dynamics and brain function (35 papers), Experimental Learning in Engineering (23 papers), Neuroscience and Neuropharmacology Research (13 papers), Interconnection Networks and Systems (11 papers), CCD and CMOS Imaging Sensors (9 papers) and Engineering Education and Pedagogy (8 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (726 citations), Hardware and Architecture (226 citations), Media Technology (252 citations), Cognitive Neuroscience (514 citations) and Architecture (33 citations). Jim Harkin has collaborated with scholars based in United Kingdom, United States and Ireland. Frequent co-authors include Liam McDaid, Liam Maguire, Junxiu Liu, T.M. McGinnity, Michael Callaghan, John Wade, Yuling Luo, Fearghal Morgan, Brian McGinley and Seamus Cawley. Their work appears in journals such as Neurocomputing, Frontiers in Cellular Neuroscience, IEEE Transactions on Neural Networks and Learning Systems, Journal of Parallel and Distributed Computing and Neural Processing Letters.
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.