Daniel Smullen
Impact in
- Information Systems top 5%
- User Authentication and Security Systems
- Human-Computer Interaction top 10%
- Innovative Human-Technology Interaction
Papers in
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- Privacy, Security, and Data Protection 10
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- Privacy-Preserving Technologies in Data 4
- Hate Speech and Cyberbullying Detection 2
- Internet Traffic Analysis and Secure E-voting 2
- Co-authors
- Norman Sadeh (8 shared papers)Peter Story (5 shared papers)Anupam Das (1 shared paper)Martin Degeling (1 shared paper)Sebastian Zimmeck (2 shared papers)Ziqi Wang (1 shared paper)N. Cameron Russell (1 shared paper)Joël R. Reidenberg (1 shared paper)
- Journals
- ACM Transactions on the Web (1 paper)IEEE Pervasive Computing (1 paper)Proceedings on Privacy Enhancing Technologies (5 papers)Figshare (1 paper)
- Partner nations
- United States
In The Last Decade
Daniel Smullen
11 papers receiving 324 citations
Peers
Comparison fields: 5 of 39
- Information Systems 142
- Human-Computer Interaction 33
- Sociology and Political Science 253
- Computer Science Applications 29
- Signal Processing 52
Countries citing papers authored by Daniel Smullen
This map shows the geographic impact of Daniel Smullen'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 Daniel Smullen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Smullen more than expected).
Fields of papers citing papers by Daniel Smullen
This network shows the impact of papers produced by Daniel Smullen. 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 Daniel Smullen. The network helps show where Daniel Smullen may publish in the future.
Co-authors
The 23 scholars most cited alongside Daniel Smullen, 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 | 2019 | 108 | |
| 2 | 2018 | 80 | |
| 3 | 2018 | 33 | |
| 4 | 2021 | 26 | |
| 5 | 2020 | 25 | |
| 6 | 2015 | 15 | |
| 7 | 2016 | 12 | |
| 8 | 2022 | 11 | |
| 9 | 2021 | 11 | |
| 10 | 2021 | 4 | |
| 11 | 2016 | 3 |
About Daniel Smullen
Daniel Smullen is a scholar working on Sociology and Political Science, Artificial Intelligence, Information Systems, Signal Processing and Computer Science Applications, having authored 11 papers that have together received 328 indexed citations. Recurring topics across this work include Privacy, Security, and Data Protection (10 papers), Privacy-Preserving Technologies in Data (4 papers), Mobile Crowdsensing and Crowdsourcing (2 papers), Hate Speech and Cyberbullying Detection (2 papers), Internet Traffic Analysis and Secure E-voting (2 papers), Advanced Malware Detection Techniques (2 papers), Digital and Cyber Forensics (2 papers) and Spam and Phishing Detection (1 paper). The work is most often cited by research in Information Systems (142 citations), Human-Computer Interaction (33 citations), Sociology and Political Science (253 citations), Computer Science Applications (29 citations) and Signal Processing (52 citations). Daniel Smullen has collaborated with scholars based in United States. Frequent co-authors include Norman Sadeh, Peter Story, Anupam Das, Martin Degeling, Sebastian Zimmeck, Ziqi Wang, N. Cameron Russell, Joël R. Reidenberg, Abhilasha Ravichander and Florian Schaub. Their work appears in journals such as ACM Transactions on the Web, IEEE Pervasive Computing, Proceedings on Privacy Enhancing Technologies and Figshare.
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.