Nicholas Hopper
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- Network Security and Intrusion Detection 27
- Peer-to-Peer Network Technologies 17
- Caching and Content Delivery 15
- Artificial Intelligence top 1%
- Internet Traffic Analysis and Secure E-voting 53
- Cryptography and Data Security 14
- Privacy-Preserving Technologies in Data 14
- Signal Processing top 2%
- Information Systems top 2%
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- Force Microscopy Techniques and Applications 12
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- Molecular Junctions and Nanostructures 11
- Co-authors
- Yongdae KimEugene Y. VassermanEric Chan‐TinAziz MohaisenMax SchuchardLuis von AhnRob JansenWilfred T. Tysoe
- Journals
- Tribology Letters (6 papers)The Journal of Physical Chemistry C (3 papers)ACM Transactions on Information and System Security (3 papers)
- Partner nations
- United StatesFranceSouth Korea
In The Last Decade
Nicholas Hopper
97 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 81
- Computer Networks and Communications 1.0k
- Artificial Intelligence 1.1k
- Signal Processing 278
- Information Systems 350
- Computer Vision and Pattern Recognition 173
Countries citing papers authored by Nicholas Hopper
This map shows the geographic impact of Nicholas Hopper'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 Nicholas Hopper with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicholas Hopper more than expected).
Fields of papers citing papers by Nicholas Hopper
This network shows the impact of papers produced by Nicholas Hopper. 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 Nicholas Hopper. The network helps show where Nicholas Hopper may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Nicholas Hopper, 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 | 2024 | 6 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 12 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 10 | |
| 7 | 2022 | 7 | |
| 8 | 2022 | 13 | |
| 9 | 2021 | 4 | |
| 10 | 2021 | 6 | |
| 11 | 2021 | 7 | |
| 12 | 2021 | 8 | |
| 13 | 2021 | 7 | |
| 14 | 2021 | 12 | |
| 15 | 2021 | 18 | |
| 16 | 2021 | 5 | |
| 17 | 2020 | 1 | |
| 18 | 2020 | 40 | |
| 19 | Traffic Analysis with Deep Learning. | 2017 | 2 |
| 20 | Location leaks over the GSM air interface. | 2012 | 45 |
About Nicholas Hopper
Nicholas Hopper is a scholar working on Computer Networks and Communications, Artificial Intelligence, Structural Biology, Signal Processing and Information Systems, having authored 99 papers that have together received 1.7k indexed citations. Recurring topics across this work include Internet Traffic Analysis and Secure E-voting (53 papers), Network Security and Intrusion Detection (27 papers), Peer-to-Peer Network Technologies (17 papers), Caching and Content Delivery (15 papers), Cryptography and Data Security (14 papers), Privacy-Preserving Technologies in Data (14 papers), Force Microscopy Techniques and Applications (12 papers) and Molecular Junctions and Nanostructures (11 papers). The work is most often cited by research in Computer Networks and Communications (1.0k citations), Artificial Intelligence (1.1k citations), Signal Processing (278 citations), Information Systems (350 citations) and Computer Vision and Pattern Recognition (173 citations). Nicholas Hopper has collaborated with scholars based in United States, France and South Korea. Frequent co-authors include Yongdae Kim, Eugene Y. Vasserman, Eric Chan‐Tin, Aziz Mohaisen, Max Schuchard, Luis von Ahn, Rob Jansen, Wilfred T. Tysoe, Nicholas Freitag McPhee and Denis Foo Kune. Their work appears in journals such as Tribology Letters, The Journal of Physical Chemistry C, ACM Transactions on Information and System Security, Physical Chemistry Chemical Physics and Surface Science.
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.