John V. Monaco
Impact in
- Signal Processing top 2%
- Biometric Identification and Security
- Advanced Malware Detection Techniques
- Human-Computer Interaction top 5%
- Interactive and Immersive Displays
Papers in
-
- User Authentication and Security Systems 28
- Spam and Phishing Detection 4
-
- Biometric Identification and Security 17
- Advanced Malware Detection Techniques 11
- Co-authors
- Charles C. Tappert (20 shared papers)Sung-Hyuk Cha (7 shared papers)John Stewart (3 shared papers)Md Liakat Ali (3 shared papers)Meikang Qiu (2 shared papers)Aythami Morales (5 shared papers)Alejandro Acien (3 shared papers)Rubén Vera-Rodríguez (2 shared papers)
- Journals
- Pattern Recognition (1 paper)Journal of Statistical Software (1 paper)IEEE Transactions on Circuits and Systems I Regular Papers (1 paper)Journal of Signal Processing Systems (1 paper)Concurrency and Computation Practice and Experience (1 paper)
- Partner nations
- United StatesSpainIndia
In The Last Decade
John V. Monaco
39 papers receiving 658 citations
Peers
Comparison fields: 5 of 72
- Signal Processing 377
- Human-Computer Interaction 136
- Information Systems 510
- Artificial Intelligence 191
- Computer Vision and Pattern Recognition 101
Countries citing papers authored by John V. Monaco
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
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-authors
The 25 scholars most cited alongside John V. Monaco, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 88 | |
| 2 | 2013 | 60 | |
| 3 | 2011 | 55 | |
| 4 | 2021 | 47 | |
| 5 | 2015 | 40 | |
| 6 | 2017 | 39 | |
| 7 | 2012 | 37 | |
| 8 | 2018 | 36 | |
| 9 | 2016 | 29 | |
| 10 | 2020 | 26 | |
| 11 | 2013 | 22 | |
| 12 | 2013 | 21 | |
| 13 | 2015 | 18 | |
| 14 | 2016 | 18 | |
| 15 | 2015 | 15 | |
| 16 | 2016 | 13 | |
| 17 | 2018 | 13 | |
| 18 | 2018 | 13 | |
| 19 | 2020 | 12 | |
| 20 | 2015 | 10 |
About John V. Monaco
John V. Monaco is a scholar working on Information Systems, Signal Processing, Artificial Intelligence, Human-Computer Interaction and Computer Vision and Pattern Recognition, having authored 42 papers that have together received 700 indexed citations. Recurring topics across this work include User Authentication and Security Systems (28 papers), Biometric Identification and Security (17 papers), Advanced Malware Detection Techniques (11 papers), Authorship Attribution and Profiling (5 papers), Advanced Memory and Neural Computing (4 papers), Spam and Phishing Detection (4 papers), Ferroelectric and Negative Capacitance Devices (3 papers) and Handwritten Text Recognition Techniques (3 papers). The work is most often cited by research in Signal Processing (377 citations), Human-Computer Interaction (136 citations), Information Systems (510 citations), Artificial Intelligence (191 citations) and Computer Vision and Pattern Recognition (101 citations). John V. Monaco has collaborated with scholars based in United States, Spain and India. Frequent 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 Md Liakat Ali. Their work appears in journals such as Pattern Recognition, Journal of Statistical Software, IEEE Transactions on Circuits and Systems I Regular Papers, Journal of Signal Processing Systems and Concurrency and Computation Practice and Experience.
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.