Joffrey L. Leevy
- Artificial Intelligence top 1%
- Imbalanced Data Classification Techniques 19
- Anomaly Detection Techniques and Applications 12
- Internet Traffic Analysis and Secure E-voting 9
- Machine Learning and Data Classification 9
- Signal Processing top 5%
- Advanced Malware Detection Techniques 11
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- Network Security and Intrusion Detection 19
- Accounting top 10%
- Financial Distress and Bankruptcy Prediction 8
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- Electricity Theft Detection Techniques 9
- Co-authors
- Taghi M. KhoshgoftaarRichard A. BauderNaeem SeliyaTawfiq HasaninJohn HancockRichard ZuechJohn M. HancockFlavio Villanustre
- Journals
- IEEE Access (1 paper)Journal Of Big Data (16 papers)International Journal of Reliability Quality and Safety Engineering (1 paper)
- Partner nations
- United States
In The Last Decade
Joffrey L. Leevy
39 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 140
- Artificial Intelligence 859
- Signal Processing 242
- Health Information Management 99
- Computer Networks and Communications 412
- Accounting 105
Countries citing papers authored by Joffrey L. Leevy
This map shows the geographic impact of Joffrey L. Leevy'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 Joffrey L. Leevy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joffrey L. Leevy more than expected).
Fields of papers citing papers by Joffrey L. Leevy
This network shows the impact of papers produced by Joffrey L. Leevy. 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 Joffrey L. Leevy. The network helps show where Joffrey L. Leevy may publish in the future.
Co-authorship network
The 11 scholars most cited alongside Joffrey L. Leevy, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 7 | |
| 5 | 2023 | 17 | |
| 6 | 2023 | 55 | |
| 7 | 2023 | 9 | |
| 8 | 2023 | 2 | |
| 9 | 2023 | 17 | |
| 10 | 2022 | 2 | |
| 11 | 2022 | 1 | |
| 12 | 2022 | 2 | |
| 13 | 2021 | 51 | |
| 14 | 2021 | 12 | |
| 15 | 2020 | 15 | |
| 16 | 2020 | 27 | |
| 17 | 2020 | 15 | |
| 18 | 2020 | 31 | |
| 19 | 2019 | 4 | |
| 20 | 2019 | 20 |
About Joffrey L. Leevy
Joffrey L. Leevy is a scholar working on Artificial Intelligence, Signal Processing and Computer Networks and Communications, having authored 42 papers that have together received 1.2k indexed citations. Recurring topics across this work include Imbalanced Data Classification Techniques (19 papers), Network Security and Intrusion Detection (19 papers), Anomaly Detection Techniques and Applications (12 papers), Advanced Malware Detection Techniques (11 papers), Electricity Theft Detection Techniques (9 papers), Internet Traffic Analysis and Secure E-voting (9 papers), Machine Learning and Data Classification (9 papers) and Financial Distress and Bankruptcy Prediction (8 papers). The work is most often cited by research in Artificial Intelligence (859 citations), Signal Processing (242 citations) and Health Information Management (99 citations). Joffrey L. Leevy has collaborated with scholars based in United States. Frequent co-authors include Taghi M. Khoshgoftaar, Richard A. Bauder, Naeem Seliya, Tawfiq Hasanin, John Hancock, Richard Zuech, John M. Hancock, Flavio Villanustre, Justin Johnson and Joseph D. Prusa. Their work appears in journals such as IEEE Access, Journal Of Big Data and International Journal of Reliability Quality and Safety Engineering.
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.