John V. Monaco

996 total citations
41 papers, 630 citations indexed

About

John V. Monaco is a scholar working on Information Systems, Signal Processing and Artificial Intelligence. According to data from OpenAlex, John V. Monaco has authored 41 papers receiving a total of 630 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Information Systems, 25 papers in Signal Processing and 13 papers in Artificial Intelligence. Recurrent topics in John V. Monaco's work include User Authentication and Security Systems (28 papers), Biometric Identification and Security (17 papers) and Advanced Malware Detection Techniques (11 papers). John V. Monaco is often cited by papers focused on User Authentication and Security Systems (28 papers), Biometric Identification and Security (17 papers) and Advanced Malware Detection Techniques (11 papers). John V. Monaco collaborates with scholars based in United States, Spain and India. John V. Monaco's co-authors include Charles C. Tappert, Sung-Hyuk Cha, John Stewart, Md Liakat Ali, Meikang Qiu, Aythami Morales, Alejandro Acien, Rubén Vera-Rodríguez, Julián Fiérrez and Javier Ortega-García and has published in prestigious journals such as Pattern Recognition, Journal of Statistical Software and IEEE Transactions on Circuits and Systems I Regular Papers.

In The Last Decade

John V. Monaco

39 papers receiving 590 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John V. Monaco United States 14 447 331 171 124 89 41 630
Kun Bai United States 11 485 1.1× 369 1.1× 217 1.3× 124 1.0× 162 1.8× 27 727
Zhongmin Cai China 16 558 1.2× 370 1.1× 234 1.4× 79 0.6× 103 1.2× 41 751
Haichang Gao China 18 746 1.7× 554 1.7× 198 1.2× 82 0.7× 255 2.9× 59 952
Lee Luan Ling Brazil 10 335 0.7× 375 1.1× 98 0.6× 102 0.8× 170 1.9× 48 574
Francesco Bergadano Italy 17 531 1.2× 367 1.1× 500 2.9× 127 1.0× 118 1.3× 74 1.1k
Claudia Picardi Italy 11 711 1.6× 534 1.6× 149 0.9× 239 1.9× 91 1.0× 24 887
Dawn Song United States 11 775 1.7× 662 2.0× 221 1.3× 148 1.2× 138 1.6× 20 1.1k
Jean–Marc Robert Canada 11 184 0.4× 113 0.3× 92 0.5× 94 0.8× 62 0.7× 44 530
Daniele Gunetti Italy 9 668 1.5× 539 1.6× 134 0.8× 237 1.9× 82 0.9× 14 810
Markus Dürmuth Germany 12 447 1.0× 401 1.2× 272 1.6× 78 0.6× 92 1.0× 41 725

Countries citing papers authored by John V. Monaco

Since Specialization
Citations

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

Fields of papers citing papers by John V. Monaco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John V. Monaco. 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 John V. Monaco. The network helps show where John V. Monaco may publish in the future.

Co-authorship network of co-authors of John V. Monaco

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

All Works

20 of 20 papers shown
1.
Monaco, John V.. (2022). Device Fingerprinting with Peripheral Timestamps. 1018–1033. 6 indexed citations
2.
Acien, Alejandro, Aythami Morales, John V. Monaco, & Rubén Vera-Rodríguez. (2021). TypeNet: Deep Learning Keystroke Biometrics. Biblos-e Archivo (Universidad Autónoma de Madrid). 43 indexed citations
3.
Morales, Aythami, Alejandro Acien, Julián Fiérrez, et al.. (2020). Keystroke Biometrics in Response to Fake News Propagation in a Global Pandemic. Biblos-e Archivo (Universidad Autónoma de Madrid). 10 indexed citations
4.
Acien, Alejandro, Aythami Morales, Rubén Vera-Rodríguez, Julián Fiérrez, & John V. Monaco. (2020). TypeNet: Scaling up keystroke biometrics. Biblos-e Archivo (Universidad Autónoma de Madrid). 22 indexed citations
5.
Monaco, John V.. (2019). What Are You Searching For? A Remote Keylogging Attack on Search Engine Autocomplete. USENIX Security Symposium. 959–976. 7 indexed citations
6.
Monaco, John V., Malka Gorfine, & Li Hsu. (2018). General Semiparametric Shared Frailty Model: Estimation and Simulation with frailtySurv. Journal of Statistical Software. 86(4). 13 indexed citations
7.
Monaco, John V.. (2018). SoK: Keylogging Side Channels. 211–228. 30 indexed citations
8.
Monaco, John V., et al.. (2017). Factoring Integers With a Brain-Inspired Computer. IEEE Transactions on Circuits and Systems I Regular Papers. 65(3). 1051–1062. 8 indexed citations
9.
Monaco, John V. & Charles C. Tappert. (2017). The partially observable hidden Markov model and its application to keystroke dynamics. Pattern Recognition. 76. 449–462. 37 indexed citations
10.
Monaco, John V., et al.. (2017). Tightly integrated deep learning and symbolic programming on a single neuromorphic chip. 345. 1–4. 1 indexed citations
11.
Monaco, John V., et al.. (2017). Integer factorization with a neuromorphic sieve. 1–4. 10 indexed citations
12.
Monaco, John V. & Charles C. Tappert. (2016). The Partially Observable Hidden Markov Model with Application to Keystroke Biometrics.. arXiv (Cornell University). 3 indexed citations
13.
Monaco, John V.. (2015). Identifying Bitcoin users by transaction behavior. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9457. 945704–945704. 35 indexed citations
14.
Tappert, Charles C., et al.. (2015). A Real-World-Projects Capstone Course in Computing: A 15-year Experience.
15.
Ali, Md Liakat, Charles C. Tappert, Meikang Qiu, & John V. Monaco. (2015). Authentication and Identification Methods Used in Keystroke Biometric Systems. 1424–1429. 14 indexed citations
16.
Monaco, John V., Md Liakat Ali, & Charles C. Tappert. (2015). Spoofing key-press latencies with a generative keystroke dynamics model. 2001. 1–8. 10 indexed citations
17.
Monaco, John V.. (2014). Classification and authentication of one-dimensional behavioral biometrics. 52. 1–8. 6 indexed citations
19.
Monaco, John V., et al.. (2013). Mouse Movement Biometric System. 5 indexed citations
20.
Monaco, John V., et al.. (2012). Developing a Keystroke Biometric System for Continual Authentication of Computer Users. 210–216. 30 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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