Michael A. Specter
Impact in
- Artificial Intelligence top 10%
- Internet Traffic Analysis and Secure E-voting
- Explainable Artificial Intelligence (XAI)
- Cryptography and Data Security
Papers in
-
- Internet Traffic Analysis and Secure E-voting 6
- Cryptography and Data Security 3
-
- Network Security and Intrusion Detection 3
- Advanced Authentication Protocols Security 2
- Co-authors
- Ronald L. Rivest (3 shared papers)Sunoo Park (3 shared papers)Neha Narula (1 shared paper)Daniel J. Weitzner (4 shared papers)Leilani H. Gilpin (1 shared paper)James Koppel (1 shared paper)Ayesha Bajwa (1 shared paper)Lalana Kagal (1 shared paper)
- Journals
- Communications of the ACM (1 paper)Edinburgh Research Explorer (1 paper)arXiv (Cornell University) (1 paper)
- Partner nations
- United StatesUnited KingdomSouth Sudan
In The Last Decade
Michael A. Specter
9 papers receiving 219 citations
Peers
Comparison fields: 5 of 53
- Health Informatics 8
- Artificial Intelligence 157
- Information Systems 96
- Computer Vision and Pattern Recognition 33
- Signal Processing 17
Countries citing papers authored by Michael A. Specter
This map shows the geographic impact of Michael A. Specter'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 Michael A. Specter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael A. Specter more than expected).
Fields of papers citing papers by Michael A. Specter
This network shows the impact of papers produced by Michael A. Specter. 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 Michael A. Specter. The network helps show where Michael A. Specter may publish in the future.
Co-authors
The 23 scholars most cited alongside Michael A. Specter, 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 | 65 | |
| 2 | 2021 | 64 | |
| 3 | Explaining Explanations: An Approach to Evaluating Interpretability of Machine Learning | 2018 | 56 |
| 4 | The Ballot is Busted Before the Blockchain: A Security Analysis of Voatz, the First Internet Voting Application Used in U.S. Federal Elections. | 2020 | 27 |
| 5 | 2015 | 15 | |
| 6 | Security Analysis of the Democracy Live Online Voting System | 2021 | 8 |
| 7 | 2023 | 2 | |
| 8 | KeyForge: Non-Attributable Email from Forward-Forgeable Signatures | 2021 | 2 |
| 9 | 2024 | 1 |
About Michael A. Specter
Michael A. Specter is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Sociology and Political Science and Computer Vision and Pattern Recognition, having authored 9 papers that have together received 240 indexed citations. Recurring topics across this work include Internet Traffic Analysis and Secure E-voting (6 papers), Cryptography and Data Security (3 papers), Network Security and Intrusion Detection (3 papers), Advanced Authentication Protocols Security (2 papers), Spam and Phishing Detection (2 papers), Advanced Malware Detection Techniques (1 paper), Advanced Steganography and Watermarking Techniques (1 paper) and Digital and Cyber Forensics (1 paper). The work is most often cited by research in Health Informatics (8 citations), Artificial Intelligence (157 citations), Information Systems (96 citations), Computer Vision and Pattern Recognition (33 citations) and Signal Processing (17 citations). Michael A. Specter has collaborated with scholars based in United States, United Kingdom and South Sudan. Frequent co-authors include Ronald L. Rivest, Sunoo Park, Neha Narula, Daniel J. Weitzner, Leilani H. Gilpin, James Koppel, Ayesha Bajwa, Lalana Kagal, David Bau and Steven M. Bellovin. Their work appears in journals such as Communications of the ACM, Edinburgh Research Explorer and arXiv (Cornell University).
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.