Joffrey L. Leevy

1.9k citations
42 papers · 1.2k indexed · 1 hit paper · h-index 16
Topics
Imbalanced Data Classification Techniques (19 papers)Network Security and Intrusion Detection (19 papers)Anomaly Detection Techniques and Applications (12 papers)
Partner nations
United States

In The Last Decade

Joffrey L. Leevy

39 papers receiving 1.2k citations

Hit Papers

A survey on addressing high-class imbalance in big data20182026202020232018100200300400500

Peers

Joffrey L. Leevy
Comparison fields: 5 of 140
  • Artificial Intelligence 859
  • Computer Networks and Communications 412
  • Signal Processing 242
  • Electrical and Electronic Engineering 156
  • Information Systems 117
Replace Suhel Hammoud with:
Suhel Hammoud United Kingdom
José A. Sáez Spain
Richard A. Bauder United States
Yann‐Aël Le Borgne Belgium
Avleen Malhi India
Ahmad S. Tarawneh Jordan
Pradeep Singh India
Mangal Sain South Korea
Rafael M. O. Cruz Canada
Phayung Meesad Thailand
Joffrey L. Leevy relative to Suhel Hammoud United Kingdom Suhel Hammoud's profile →
Citations per field
00.5×4.0×
Suhel Hammoud · 1×
Citations per year

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
#WorkIndexed citations
1 1
2 0
3 0
4 7
5 17
6 55
7 9
8 2
9 17
10 2
11 1
12 2
13 51
14 12
15 15
16 27
17 15
18 31
19 4
20 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) and Anomaly Detection Techniques and Applications (12 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.

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