Jeffrey Spaulding
Impact in
- Information Systems top 5%
- Blockchain Technology Applications and Security
- Spam and Phishing Detection
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- IoT and Edge/Fog Computing
- Network Security and Intrusion Detection
Papers in
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- Internet Traffic Analysis and Secure E-voting 8
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- Spam and Phishing Detection 7
- Blockchain Technology Applications and Security 1
- Cybercrime and Law Enforcement Studies 1
- Co-authors
- Aziz Mohaisen (9 shared papers)DaeHun Nyang (5 shared papers)Charles Kamhoua (1 shared paper)Sachin Shetty (1 shared paper)Laurent Njilla (1 shared paper)Muhammad Saad (1 shared paper)Afsah Anwar (2 shared papers)Shambhu Upadhyaya (2 shared papers)
- Journals
- Computer Networks (1 paper)Transactions on Emerging Telecommunications Technologies (1 paper)IEEE Communications Surveys & Tutorials (1 paper)Journal of International Crisis and Risk Communication Research (4 papers)
- Partner nations
- United StatesSouth KoreaSaudi Arabia
In The Last Decade
Jeffrey Spaulding
10 papers receiving 292 citations
Jeffrey Spaulding's Hit Papers
Peers
Comparison fields: 5 of 45
- Information Systems 244
- Computer Networks and Communications 158
- Signal Processing 49
- Artificial Intelligence 98
- Management Information Systems 18
Countries citing papers authored by Jeffrey Spaulding
This map shows the geographic impact of Jeffrey Spaulding'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 Jeffrey Spaulding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeffrey Spaulding more than expected).
Fields of papers citing papers by Jeffrey Spaulding
This network shows the impact of papers produced by Jeffrey Spaulding. 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 Jeffrey Spaulding. The network helps show where Jeffrey Spaulding may publish in the future.
Co-authors
The 16 scholars most cited alongside Jeffrey Spaulding, 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 | Exploring the Attack Surface of Blockchain: A Comprehensive Survey Hit paper breakdown → | 2020 | 230 |
| 2 | 2019 | 15 | |
| 3 | 2017 | 14 | |
| 4 | 2018 | 12 | |
| 5 | 2022 | 9 | |
| 6 | 2018 | 8 | |
| 7 | 2017 | 6 | |
| 8 | 2018 | 5 | |
| 9 | 2016 | 2 | |
| 10 | D-FENS: DNS Filtering & Extraction Network System for Malicious Domain Names | 2018 | 1 |
About Jeffrey Spaulding
Jeffrey Spaulding is a scholar working on Artificial Intelligence, Information Systems, Signal Processing, Computer Networks and Communications and Infectious Diseases, having authored 10 papers that have together received 302 indexed citations. Recurring topics across this work include Internet Traffic Analysis and Secure E-voting (8 papers), Spam and Phishing Detection (7 papers), Advanced Malware Detection Techniques (7 papers), Network Security and Intrusion Detection (6 papers), Blockchain Technology Applications and Security (1 paper) and Cybercrime and Law Enforcement Studies (1 paper). The work is most often cited by research in Information Systems (244 citations), Computer Networks and Communications (158 citations), Signal Processing (49 citations), Artificial Intelligence (98 citations) and Management Information Systems (18 citations). Jeffrey Spaulding has collaborated with scholars based in United States, South Korea and Saudi Arabia. Frequent co-authors include Aziz Mohaisen, DaeHun Nyang, Charles Kamhoua, Sachin Shetty, Laurent Njilla, Muhammad Saad, Afsah Anwar, Shambhu Upadhyaya, Jinchun Choi and Hisham Alasmary. Their work appears in journals such as Computer Networks, Transactions on Emerging Telecommunications Technologies, IEEE Communications Surveys & Tutorials and Journal of International Crisis and Risk Communication Research.
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.