Richard Zak

568 total citations
7 papers, 302 citations indexed

About

Richard Zak is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Richard Zak has authored 7 papers receiving a total of 302 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Computer Networks and Communications and 3 papers in Information Systems. Recurrent topics in Richard Zak's work include Network Security and Intrusion Detection (3 papers), Advanced Malware Detection Techniques (3 papers) and Data Quality and Management (2 papers). Richard Zak is often cited by papers focused on Network Security and Intrusion Detection (3 papers), Advanced Malware Detection Techniques (3 papers) and Data Quality and Management (2 papers). Richard Zak collaborates with scholars based in United States. Richard Zak's co-authors include Edward Raff, Charles Nicholas, Aritran Piplai, Sudip Mittal, Anupam Joshi, Mark McLean, Jared Sylvester, Tim Finin, Gholam A. Peyman and Susan A. Smith and has published in prestigious journals such as IEEE Access, Journal of Computer Virology and Hacking Techniques and The Journal of Trauma: Injury, Infection, and Critical Care.

In The Last Decade

Richard Zak

7 papers receiving 283 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Richard Zak United States 7 171 169 128 125 34 7 302
Bei Guan China 9 110 0.6× 61 0.4× 120 0.9× 133 1.1× 24 256
Tony Abou-Assaleh Canada 4 186 1.1× 215 1.3× 148 1.2× 107 0.9× 10 279
Nikola Milošević United Kingdom 5 178 1.0× 187 1.1× 107 0.8× 73 0.6× 14 280
Fehmi Jaafar Canada 13 193 1.1× 122 0.7× 300 2.3× 146 1.2× 58 409
Menghan Sun China 9 130 0.8× 235 1.4× 115 0.9× 137 1.1× 24 373
Max Landauer Austria 10 298 1.7× 88 0.5× 91 0.7× 243 1.9× 30 381
Francisco Fernández de Vega Spain 10 47 0.3× 27 0.2× 23 0.2× 159 1.3× 3 0.1× 45 266
Anastasia Analyti Greece 9 111 0.6× 49 0.3× 75 0.6× 180 1.4× 42 270
Anil Thomas United States 6 240 1.4× 225 1.3× 89 0.7× 145 1.2× 17 343
Yiming Hei China 9 123 0.7× 43 0.3× 180 1.4× 157 1.3× 22 304

Countries citing papers authored by Richard Zak

Since Specialization
Citations

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

Fields of papers citing papers by Richard Zak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Richard Zak

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

All Works

7 of 7 papers shown
1.
Piplai, Aritran, et al.. (2020). Creating Cybersecurity Knowledge Graphs From Malware After Action Reports. IEEE Access. 8. 211691–211703. 58 indexed citations
2.
Piplai, Aritran, et al.. (2019). RelExt. 879–886. 51 indexed citations
3.
4.
Zak, Richard, Edward Raff, & Charles Nicholas. (2017). What can N-grams learn for malware detection?. 109–118. 22 indexed citations
5.
Raff, Edward, et al.. (2016). An investigation of byte n-gram features for malware classification. Journal of Computer Virology and Hacking Techniques. 14(1). 1–20. 116 indexed citations
6.
Joseph, Emmanuella, Richard Zak, Susan A. Smith, et al.. (1992). PREDICTORS OF BLINDING OR SERIOUS EYE INJURY IN BLUNT TRAUMA. The Journal of Trauma: Injury, Infection, and Critical Care. 33(1). 19–24. 26 indexed citations
7.
Peyman, Gholam A., et al.. (1983). Ultraviolet-absorbing pseudophakos: An efficacy study. American Intra-Ocular Implant Society Journal. 9(2). 161–170. 14 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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