Joffrey L. Leevy

1.9k total citations · 1 hit paper
42 papers, 1.2k citations indexed

About

Joffrey L. Leevy is a scholar working on Artificial Intelligence, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, Joffrey L. Leevy has authored 42 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Artificial Intelligence, 19 papers in Computer Networks and Communications and 11 papers in Signal Processing. Recurrent topics in Joffrey L. Leevy's work include Imbalanced Data Classification Techniques (19 papers), Network Security and Intrusion Detection (19 papers) and Anomaly Detection Techniques and Applications (12 papers). Joffrey L. Leevy is often cited by papers focused on Imbalanced Data Classification Techniques (19 papers), Network Security and Intrusion Detection (19 papers) and Anomaly Detection Techniques and Applications (12 papers). Joffrey L. Leevy collaborates with scholars based in United States. Joffrey L. Leevy's 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 Michael R. Lowe and has published in prestigious journals such as IEEE Access, Journal Of Big Data and International Journal of Reliability Quality and Safety Engineering.

In The Last Decade

Joffrey L. Leevy

39 papers receiving 1.2k citations

Hit Papers

A survey on addressing high-class imbalance in big data 2018 2026 2020 2023 2018 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joffrey L. Leevy United States 16 859 412 242 156 117 42 1.2k
Yann‐Aël Le Borgne Belgium 12 787 0.9× 186 0.5× 69 0.3× 192 1.2× 177 1.5× 26 1.1k
Suhel Hammoud United Kingdom 11 447 0.5× 179 0.4× 60 0.2× 96 0.6× 241 2.1× 16 887
Richard A. Bauder United States 18 1.0k 1.2× 113 0.3× 59 0.2× 222 1.4× 128 1.1× 31 1.4k
Avleen Malhi India 18 466 0.5× 299 0.7× 82 0.3× 284 1.8× 210 1.8× 54 1.3k
Mangal Sain South Korea 18 503 0.6× 556 1.3× 162 0.7× 193 1.2× 496 4.2× 107 1.6k
Andrei Petrovski United Kingdom 13 443 0.5× 262 0.6× 156 0.6× 151 1.0× 164 1.4× 76 926
José A. Sáez Spain 17 1.5k 1.7× 82 0.2× 100 0.4× 301 1.9× 241 2.1× 43 2.0k
Rahmat Budiarto Malaysia 16 647 0.8× 838 2.0× 379 1.6× 199 1.3× 313 2.7× 205 1.7k
Husanbir Singh Pannu India 16 463 0.5× 172 0.4× 61 0.3× 158 1.0× 141 1.2× 41 1.1k
Rafael M. O. Cruz Canada 15 840 1.0× 56 0.1× 93 0.4× 104 0.7× 143 1.2× 52 1.2k

Countries citing papers authored by Joffrey L. Leevy

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Joffrey L. Leevy

This figure shows the co-authorship network connecting the top 25 collaborators of Joffrey L. Leevy. A scholar is included among the top collaborators of Joffrey L. Leevy 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 Joffrey L. Leevy. Joffrey L. Leevy 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.
Leevy, Joffrey L., et al.. (2025). A Survey on Statistical and ML-Based Demand Forecasting Methods for Spare Parts in Aviation. IEEE Access. 13. 44800–44816. 1 indexed citations
2.
Lowe, Michael R., Joseph D. Prusa, Joffrey L. Leevy, & Taghi M. Khoshgoftaar. (2024). Advancing machine learning with OCR2SEQ: an innovative approach to multi-modal data augmentation. Journal Of Big Data. 11(1).
4.
Leevy, Joffrey L., John M. Hancock, & Taghi M. Khoshgoftaar. (2024). Medicare fraud detection: a comparative study on the effectiveness of one-class and binary classification models. International Journal of Computers and Applications. 47(3). 323–328.
5.
Leevy, Joffrey L., et al.. (2023). Investigating the effectiveness of one-class and binary classification for fraud detection. Journal Of Big Data. 10(1). 7 indexed citations
6.
Leevy, Joffrey L., John Hancock, & Taghi M. Khoshgoftaar. (2023). Comparative analysis of binary and one-class classification techniques for credit card fraud data. Journal Of Big Data. 10(1). 17 indexed citations
7.
Leevy, Joffrey L., et al.. (2023). One-Class Classifier Performance: Comparing Majority versus Minority Class Training. 86–91. 2 indexed citations
8.
Leevy, Joffrey L., et al.. (2023). The effect of feature extraction and data sampling on credit card fraud detection. Journal Of Big Data. 10(1). 55 indexed citations
9.
Khoshgoftaar, Taghi M., et al.. (2023). An approach to application-layer DoS detection. Journal Of Big Data. 10(1). 9 indexed citations
10.
Leevy, Joffrey L., Justin Johnson, John Hancock, & Taghi M. Khoshgoftaar. (2023). Threshold optimization and random undersampling for imbalanced credit card data. Journal Of Big Data. 10(1). 17 indexed citations
11.
Khoshgoftaar, Taghi M., et al.. (2022). Composition analysis of the Bot-IoT dataset. 2(1). 31–31. 2 indexed citations
12.
Leevy, Joffrey L., Taghi M. Khoshgoftaar, & John Hancock. (2022). Feature evaluation for IoT botnet traffic classification. 2(1). 87–87. 1 indexed citations
13.
Leevy, Joffrey L., et al.. (2021). A Review and Analysis of the Bot-IoT Dataset. 20–27. 51 indexed citations
14.
Leevy, Joffrey L., et al.. (2021). Feature Extraction for Class Imbalance Using a Convolutional Autoencoder and Data Sampling. 217–223. 18 indexed citations
15.
Leevy, Joffrey L., Taghi M. Khoshgoftaar, Richard A. Bauder, & Naeem Seliya. (2020). Investigating the relationship between time and predictive model maintenance. Journal Of Big Data. 7(1). 15 indexed citations
16.
Hasanin, Tawfiq, Taghi M. Khoshgoftaar, Joffrey L. Leevy, & Richard A. Bauder. (2020). Investigating class rarity in big data. Journal Of Big Data. 7(1). 15 indexed citations
17.
Leevy, Joffrey L., John Hancock, Richard Zuech, & Taghi M. Khoshgoftaar. (2020). Detecting Cybersecurity Attacks Using Different Network Features with LightGBM and XGBoost Learners. 190–197. 31 indexed citations
18.
Leevy, Joffrey L., Taghi M. Khoshgoftaar, & Flavio Villanustre. (2020). Survey on RNN and CRF models for de-identification of medical free text. Journal Of Big Data. 7(1). 27 indexed citations
19.
Hasanin, Tawfiq, Taghi M. Khoshgoftaar, Joffrey L. Leevy, & Naeem Seliya. (2019). Investigating Random Undersampling and Feature Selection on Bioinformatics Big Data. 346–356. 20 indexed citations
20.
Leevy, Joffrey L., Taghi M. Khoshgoftaar, Richard A. Bauder, & Naeem Seliya. (2019). The Effect of Time on the Maintenance of a Predictive Model. 1. 1891–1896. 4 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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