Justin Sahs

528 total citations
6 papers, 335 citations indexed

About

Justin Sahs is a scholar working on Artificial Intelligence, Signal Processing and Computer Networks and Communications. According to data from OpenAlex, Justin Sahs has authored 6 papers receiving a total of 335 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 4 papers in Signal Processing and 3 papers in Computer Networks and Communications. Recurrent topics in Justin Sahs's work include Advanced Malware Detection Techniques (3 papers), Network Security and Intrusion Detection (2 papers) and Neural Networks and Applications (1 paper). Justin Sahs is often cited by papers focused on Advanced Malware Detection Techniques (3 papers), Network Security and Intrusion Detection (2 papers) and Neural Networks and Applications (1 paper). Justin Sahs collaborates with scholars based in United States. Justin Sahs's co-authors include Latifur Khan, Zhiqiang Lin, Fabio Anselmi, Ankit Patel, Ahmad Mustafa, Bhavani Thuraisingham, Charų C. Aggarwal and Swarup Chandra and has published in prestigious journals such as Frontiers in Artificial Intelligence and OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).

In The Last Decade

Justin Sahs

5 papers receiving 313 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Justin Sahs United States 3 307 216 154 142 96 6 335
Xinhui Han China 8 337 1.1× 203 0.9× 224 1.5× 120 0.8× 143 1.5× 31 394
Bhargava Shastry Germany 5 338 1.1× 153 0.7× 214 1.4× 113 0.8× 205 2.1× 7 385
A. Sankara Narayanan Singapore 10 348 1.1× 267 1.2× 197 1.3× 180 1.3× 81 0.8× 12 392
Fengguo Wei United States 5 442 1.4× 164 0.8× 286 1.9× 259 1.8× 158 1.6× 5 471
Takamasa Isohara Japan 6 196 0.6× 182 0.8× 99 0.6× 67 0.5× 90 0.9× 11 256
Anshul Arora India 8 392 1.3× 383 1.8× 187 1.2× 125 0.9× 122 1.3× 29 434
Leonid Batyuk Germany 4 284 0.9× 247 1.1× 122 0.8× 150 1.1× 40 0.4× 6 313
TaeGuen Kim South Korea 5 359 1.2× 316 1.5× 172 1.1× 127 0.9× 98 1.0× 13 398
Zhiruo Zhao China 3 328 1.1× 254 1.2× 171 1.1× 171 1.2× 51 0.5× 7 347

Countries citing papers authored by Justin Sahs

Since Specialization
Citations

This map shows the geographic impact of Justin Sahs'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 Justin Sahs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Justin Sahs more than expected).

Fields of papers citing papers by Justin Sahs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Justin Sahs. 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 Justin Sahs. The network helps show where Justin Sahs may publish in the future.

Co-authorship network of co-authors of Justin Sahs

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

All Works

6 of 6 papers shown
1.
Sahs, Justin, et al.. (2022). Shallow Univariate ReLU Networks as Splines: Initialization, Loss Surface, Hessian, and Gradient Flow Dynamics. Frontiers in Artificial Intelligence. 5. 889981–889981. 5 indexed citations
2.
Sahs, Justin, et al.. (2019). A Functional Characterization of Randomly Initialized Gradient Descent in Deep ReLU Networks. 2 indexed citations
3.
Chandra, Swarup, Justin Sahs, Latifur Khan, Bhavani Thuraisingham, & Charų C. Aggarwal. (2014). Stream Mining Using Statistical Relational Learning. 8. 743–748.
5.
Mustafa, Ahmad, et al.. (2013). Host-based Anomalous Behavior Detection Using Cluster-Level Markov Networks.. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 2 indexed citations
6.
Sahs, Justin & Latifur Khan. (2012). A Machine Learning Approach to Android Malware Detection. 141–147. 212 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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