Sarah Meiklejohn
- Information Systems top 0.5%
- Artificial Intelligence top 2%
- Computer Networks and Communications top 5%
- Sociology and Political Science top 5%
- Signal Processing top 5%
- Co-authors
- Stefan SavageDamon McCoyKirill LevchenkoGeorge DanezisGeoffrey M. VoelkerClaire PalermoMary MallerMarkulf Kohlweiss
- Topics
- Blockchain Technology Applications and Security (16 papers)Cryptography and Data Security (15 papers)Internet Traffic Analysis and Secure E-voting (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaCommunications of the ACMMedical Education
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Sarah Meiklejohn
45 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Information Systems 1.2k
- Artificial Intelligence 728
- Computer Networks and Communications 374
- Sociology and Political Science 260
- Signal Processing 127
Countries citing papers authored by Sarah Meiklejohn
This map shows the geographic impact of Sarah Meiklejohn'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 Sarah Meiklejohn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sarah Meiklejohn more than expected).
Fields of papers citing papers by Sarah Meiklejohn
This network shows the impact of papers produced by Sarah Meiklejohn. 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 Sarah Meiklejohn. The network helps show where Sarah Meiklejohn may publish in the future.
Co-authorship network of co-authors of Sarah Meiklejohn
This figure shows the co-authorship network connecting the top 25 collaborators of Sarah Meiklejohn. A scholar is included among the top collaborators of Sarah Meiklejohn based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sarah Meiklejohn. Sarah Meiklejohn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 0 | |
| 6 | 6 | |
| 7 | 1 | |
| 8 | 76 | |
| 9 | 2 | |
| 10 | 8 | |
| 11 | 2 | |
| 12 | Tracing Transactions Across Cryptocurrency Ledgers | 2 |
| 13 | 41 | |
| 14 | 10 | |
| 15 | 79 | |
| 16 | 170 | |
| 17 | Foodmate by Secondbite: Creating food independence through an eight-week nutrition education intervention | 1 |
| 18 | 37 | |
| 19 | A fistful of bitcoins: characterizing payments among men with no manes | 4 |
| 20 | The phantom tollbooth: privacy-preserving electronic toll collection in the presence of driver collusion | 30 |
About Sarah Meiklejohn
Sarah Meiklejohn is a scholar working on Information Systems, Health Information Management and Artificial Intelligence, having authored 50 papers that have together received 1.8k indexed citations. Recurring topics across this work include Blockchain Technology Applications and Security (16 papers), Cryptography and Data Security (15 papers) and Internet Traffic Analysis and Secure E-voting (6 papers). The work is most often cited by research in Information Systems (1.2k citations), Artificial Intelligence (728 citations) and Computer Networks and Communications (374 citations). Sarah Meiklejohn has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Stefan Savage, Damon McCoy, Kirill Levchenko, George Danezis, Geoffrey M. Voelker, Claire Palermo, Mary Maller, Markulf Kohlweiss, Melissa Chase and Lisa Ryan. Their work appears in journals such as SHILAP Revista de lepidopterología, Communications of the ACM and Medical Education.
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.