Jeffrey Spaulding

624 total citations · 1 hit paper
10 papers, 262 citations indexed

About

Jeffrey Spaulding is a scholar working on Artificial Intelligence, Information Systems and Signal Processing. According to data from OpenAlex, Jeffrey Spaulding has authored 10 papers receiving a total of 262 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 7 papers in Information Systems and 7 papers in Signal Processing. Recurrent topics in Jeffrey Spaulding's work include Internet Traffic Analysis and Secure E-voting (8 papers), Spam and Phishing Detection (7 papers) and Advanced Malware Detection Techniques (7 papers). Jeffrey Spaulding is often cited by papers focused on Internet Traffic Analysis and Secure E-voting (8 papers), Spam and Phishing Detection (7 papers) and Advanced Malware Detection Techniques (7 papers). Jeffrey Spaulding collaborates with scholars based in United States, South Korea and Saudi Arabia. Jeffrey Spaulding's co-authors include Aziz Mohaisen, DaeHun Nyang, Sachin Shetty, Charles Kamhoua, Muhammad Saad, Laurent Njilla, Afsah Anwar, Jeman Park, Jinchun Choi and Joongheon Kim and has published in prestigious journals such as IEEE Communications Surveys & Tutorials, Computer Networks and Transactions on Emerging Telecommunications Technologies.

In The Last Decade

Jeffrey Spaulding

10 papers receiving 256 citations

Hit Papers

Exploring the Attack Surface of Blockchain: A Comprehensi... 2020 2026 2022 2024 2020 50 100 150 200

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jeffrey Spaulding United States 6 213 141 85 42 16 10 262
Michal Trnka Czechia 7 187 0.9× 194 1.4× 76 0.9× 26 0.6× 11 0.7× 12 267
Ankur Lohachab India 7 156 0.7× 168 1.2× 90 1.1× 39 0.9× 29 1.8× 9 279
Zhanqi Cui China 11 283 1.3× 84 0.6× 116 1.4× 43 1.0× 14 0.9× 55 368
Changting Lin China 10 126 0.6× 131 0.9× 87 1.0× 43 1.0× 26 1.6× 19 243
Shahbaz Siddiqui Pakistan 7 87 0.4× 155 1.1× 63 0.7× 34 0.8× 27 1.7× 18 228
Son T. Nguyen Norway 4 172 0.8× 77 0.5× 106 1.2× 15 0.4× 29 1.8× 9 256
Antonio Ken Iannillo Luxembourg 10 148 0.7× 163 1.2× 54 0.6× 64 1.5× 50 3.1× 16 285
Sachin D. Babar India 6 103 0.5× 182 1.3× 60 0.7× 79 1.9× 26 1.6× 22 249
Diego Clerissi Italy 7 155 0.7× 105 0.7× 39 0.5× 27 0.6× 11 0.7× 25 245
Vincent Naessens Belgium 7 111 0.5× 59 0.4× 50 0.6× 37 0.9× 28 1.8× 44 173

Countries citing papers authored by Jeffrey Spaulding

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Jeffrey Spaulding

This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey Spaulding. A scholar is included among the top collaborators of Jeffrey Spaulding 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 Jeffrey Spaulding. Jeffrey Spaulding is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Choi, Jinchun, Afsah Anwar, Hisham Alasmary, et al.. (2022). Understanding Internet of Things malware by analyzing endpoints in their static artifacts. Computer Networks. 206. 108768–108768. 6 indexed citations
2.
Saad, Muhammad, Jeffrey Spaulding, Laurent Njilla, et al.. (2020). Exploring the Attack Surface of Blockchain: A Comprehensive Survey. IEEE Communications Surveys & Tutorials. 22(3). 1977–2008. 201 indexed citations breakdown →
3.
Choi, Jinchun, Afsah Anwar, Hisham Alasmary, et al.. (2019). IoT malware ecosystem in the wild. 413–418. 14 indexed citations
4.
Spaulding, Jeffrey, Jeman Park, Joongheon Kim, & Aziz Mohaisen. (2018). Proactive detection of algorithmically generated malicious domains. Journal of International Crisis and Risk Communication Research. 21–24. 8 indexed citations
5.
Spaulding, Jeffrey & Aziz Mohaisen. (2018). Defending Internet of Things Against Malicious Domain Names using D-FENS. Journal of International Crisis and Risk Communication Research. 387–392. 8 indexed citations
6.
Spaulding, Jeffrey, Jeman Park, Joongheon Kim, DaeHun Nyang, & Aziz Mohaisen. (2018). Thriving on chaos: Proactive detection of command and control domains in internet of things‐scale botnets using DRIFT. Transactions on Emerging Telecommunications Technologies. 30(4). 5 indexed citations
7.
Spaulding, Jeffrey. (2018). D-FENS: DNS Filtering & Extraction Network System for Malicious Domain Names. Journal of International Crisis and Risk Communication Research. 1 indexed citations
8.
Spaulding, Jeffrey, DaeHun Nyang, & Aziz Mohaisen. (2017). Understanding the effectiveness of typosquatting techniques. Journal of International Crisis and Risk Communication Research. 1–8. 12 indexed citations
9.
Spaulding, Jeffrey, Shambhu Upadhyaya, & Aziz Mohaisen. (2017). You’ve Been Tricked! A User Study of the Effectiveness of Typosquatting Techniques. 2593–2596. 5 indexed citations
10.
Spaulding, Jeffrey, Ah Reum Kang, Shambhu Upadhyaya, & Aziz Mohaisen. (2016). A user study of the effectiveness of typosquatting techniques. 10. 360–361. 2 indexed citations

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.

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