Emily Stark
- Artificial Intelligence top 10%
- Information Systems top 5%
- Computer Networks and Communications top 10%
- Signal Processing top 10%
- Sociology and Political Science
- Co-authors
- Dan BonehScott KlemmerMichael HamburgHari BalakrishnanM. Frans KaashoekNickolai ZeldovichRaluca Ada PopaAdrienne Porter Felt
- Topics
- Advanced Malware Detection Techniques (6 papers)Spam and Phishing Detection (5 papers)Internet Traffic Analysis and Secure E-voting (4 papers)
- Journals
- IEEE Security & PrivacyNetworked Systems Design and ImplementationNetwork and Distributed System Security Symposium
- Partner nations
- United StatesIndiaGermany
In The Last Decade
Emily Stark
14 papers receiving 260 citations
Peers
Comparison fields: 5 of 35
- Artificial Intelligence 157
- Information Systems 153
- Computer Networks and Communications 82
- Signal Processing 57
- Sociology and Political Science 49
Countries citing papers authored by Emily Stark
This map shows the geographic impact of Emily Stark'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 Emily Stark with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emily Stark more than expected).
Fields of papers citing papers by Emily Stark
This network shows the impact of papers produced by Emily Stark. 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 Emily Stark. The network helps show where Emily Stark may publish in the future.
Co-authorship network of co-authors of Emily Stark
This figure shows the co-authorship network connecting the top 25 collaborators of Emily Stark. A scholar is included among the top collaborators of Emily Stark 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 Emily Stark. Emily Stark is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 7 | |
| 3 | 4 | |
| 4 | 18 | |
| 5 | The Web's Identity Crisis: Understanding the Effectiveness of Website Identity Indicators | 14 |
| 6 | The URLephant in the Room | 4 |
| 7 | Fixing HTTPS Misconfigurations at Scale: An Experiment with Security Notifications | 9 |
| 8 | 24 | |
| 9 | 19 | |
| 10 | Building web applications on top of encrypted data using Mylar | 1 |
| 11 | 69 | |
| 12 | The Case for Prefetching and Prevalidating TLS Server Certificates. | 25 |
| 13 | 39 | |
| 14 | 40 |
About Emily Stark
Emily Stark is a scholar working on Signal Processing, Information Systems and Computer Networks and Communications, having authored 14 papers that have together received 278 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (6 papers), Spam and Phishing Detection (5 papers) and Internet Traffic Analysis and Secure E-voting (4 papers). The work is most often cited by research in Information Systems (153 citations), Computer Science Applications (35 citations) and Signal Processing (57 citations). Emily Stark has collaborated with scholars based in United States, India and Germany. Frequent co-authors include Dan Boneh, Scott Klemmer, Michael Hamburg, Hari Balakrishnan, M. Frans Kaashoek, Nickolai Zeldovich, Raluca Ada Popa, Adrienne Porter Felt, Parisa Tabriz and Collin Jackson. Their work appears in journals such as IEEE Security & Privacy, Networked Systems Design and Implementation and Network and Distributed System Security Symposium.
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.