Amir Chaudhry
Impact in
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- Neural and Behavioral Psychology Studies
- Memory and Neural Mechanisms
- Functional Brain Connectivity Studies
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- IoT and Edge/Fog Computing
Papers in
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- Neural and Behavioral Psychology Studies 2
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- Privacy-Preserving Technologies in Data 2
- Co-authors
- Adrian M. Owen (2 shared papers)Angela Roberts (2 shared papers)Anil Madhavapeddy (5 shared papers)Jon Crowcroft (4 shared papers)Richard Mortier (4 shared papers)Adam Hampshire (1 shared paper)Heidi Howard (2 shared papers)Hamed Haddadi (1 shared paper)
- Journals
- European Journal of Neuroscience (2 papers)NeuroImage (1 paper)Apollo (University of Cambridge) (1 paper)Lancaster EPrints (Lancaster University) (1 paper)Networked Systems Design and Implementation (1 paper)
- Partner nations
- United KingdomMexicoCanada
In The Last Decade
Amir Chaudhry
8 papers receiving 267 citations
Peers
Comparison fields: 5 of 58
- Cognitive Neuroscience 80
- Computer Networks and Communications 84
- Information Systems 80
- Behavioral Neuroscience 11
- General Decision Sciences 5
Countries citing papers authored by Amir Chaudhry
This map shows the geographic impact of Amir Chaudhry'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 Amir Chaudhry with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amir Chaudhry more than expected).
Fields of papers citing papers by Amir Chaudhry
This network shows the impact of papers produced by Amir Chaudhry. 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 Amir Chaudhry. The network helps show where Amir Chaudhry may publish in the future.
Co-authors
The 23 scholars most cited alongside Amir Chaudhry, 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 | 2015 | 99 | |
| 2 | Jitsu: just-in-time summoning of unikernels | 2015 | 68 |
| 3 | 2011 | 60 | |
| 4 | 2009 | 37 | |
| 5 | 2004 | 8 | |
| 6 | 2012 | 4 | |
| 7 | Lost in the Edge: Finding Your Way with DNSSEC Signposts. | 2013 | 3 |
| 8 | 2012 | 1 |
About Amir Chaudhry
Amir Chaudhry is a scholar working on Cognitive Neuroscience, Artificial Intelligence, Computer Networks and Communications, Sociology and Political Science and Information Systems, having authored 8 papers that have together received 280 indexed citations. Recurring topics across this work include Neural and Behavioral Psychology Studies (2 papers), Privacy, Security, and Data Protection (2 papers), Privacy-Preserving Technologies in Data (2 papers), Mobile Crowdsensing and Crowdsourcing (2 papers), IPv6, Mobility, Handover, Networks, Security (2 papers), Cloud Computing and Resource Management (1 paper), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (1 paper) and Network Packet Processing and Optimization (1 paper). The work is most often cited by research in Cognitive Neuroscience (80 citations), Computer Networks and Communications (84 citations), Information Systems (80 citations), Behavioral Neuroscience (11 citations) and General Decision Sciences (5 citations). Amir Chaudhry has collaborated with scholars based in United Kingdom, Mexico and Canada. Frequent co-authors include Adrian M. Owen, Angela Roberts, Anil Madhavapeddy, Jon Crowcroft, Richard Mortier, Adam Hampshire, Heidi Howard, Hamed Haddadi, Derek McAuley and John A. Parkinson. Their work appears in journals such as European Journal of Neuroscience, NeuroImage, Apollo (University of Cambridge), Lancaster EPrints (Lancaster University) and Networked Systems Design and Implementation.
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.