Adam Hackett
Impact in
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- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
Papers in
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- Complex Network Analysis Techniques 4
- Opinion Dynamics and Social Influence 4
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- Interconnection Networks and Systems 3
- Co-authors
- James P. Gleeson (4 shared papers)Sergey Melnik (3 shared papers)Mason A. Porter (1 shared paper)Peter J. Mucha (1 shared paper)Shoukat Ali (3 shared papers)John P. Morrison (3 shared papers)Deepak Ajwani (3 shared papers)Steve Kirkland (2 shared papers)
- Journals
- Journal of Parallel and Distributed Computing (1 paper)Research Repository UCD (University College Dublin) (2 papers)Physical Review E (4 papers)
- Partner nations
- IrelandUnited StatesUnited Kingdom
In The Last Decade
Adam Hackett
7 papers receiving 248 citations
Peers
Comparison fields: 5 of 49
- Statistical and Nonlinear Physics 217
- Modeling and Simulation 21
- Mathematical Physics 23
- Condensed Matter Physics 26
- Experimental and Cognitive Psychology 19
Countries citing papers authored by Adam Hackett
This map shows the geographic impact of Adam Hackett'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 Adam Hackett with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adam Hackett more than expected).
Fields of papers citing papers by Adam Hackett
This network shows the impact of papers produced by Adam Hackett. 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 Adam Hackett. The network helps show where Adam Hackett may publish in the future.
Co-authors
The 9 scholars most cited alongside Adam Hackett, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 87 | |
| 2 | 2011 | 76 | |
| 3 | 2010 | 65 | |
| 4 | 2013 | 13 | |
| 5 | 2013 | 6 | |
| 6 | 2016 | 5 | |
| 7 | 2013 | 1 |
About Adam Hackett
Adam Hackett is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications, Electrical and Electronic Engineering, Condensed Matter Physics and Hardware and Architecture, having authored 7 papers that have together received 253 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (4 papers), Opinion Dynamics and Social Influence (4 papers), Interconnection Networks and Systems (3 papers), VLSI and FPGA Design Techniques (3 papers), Embedded Systems Design Techniques (2 papers), Theoretical and Computational Physics (2 papers), Complex Systems and Time Series Analysis (1 paper) and Stochastic processes and statistical mechanics (1 paper). The work is most often cited by research in Statistical and Nonlinear Physics (217 citations), Modeling and Simulation (21 citations), Mathematical Physics (23 citations), Condensed Matter Physics (26 citations) and Experimental and Cognitive Psychology (19 citations). Adam Hackett has collaborated with scholars based in Ireland, United States and United Kingdom. Frequent co-authors include James P. Gleeson, Sergey Melnik, Mason A. Porter, Peter J. Mucha, Shoukat Ali, John P. Morrison, Deepak Ajwani, Steve Kirkland and Stephen Kirkland. Their work appears in journals such as Journal of Parallel and Distributed Computing, Research Repository UCD (University College Dublin) and Physical Review E.
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.