The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Taghi M. Khoshgoftaar sits on this spectrum.
This scientist: 733 publications — 98th percentile
98% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 991 publications or more.
The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Taghi M. Khoshgoftaar sits on this spectrum.
This scientist: 95 D-Index — 97th percentile
97% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Taghi M. Khoshgoftaar is a researcher affiliated with Florida Atlantic University in the United States. Their work primarily belongs to the field of Computer Science, with a strong focus on several subfields including Artificial Intelligence, Computer Networks and Communications, Electrical and Electronic Engineering, Information Systems, and Computer Vision and Pattern Recognition.
Their research covers multiple topics such as Imbalanced Data Classification Techniques, Machine Learning and Data Classification, Anomaly Detection Techniques and Applications, Network Security and Intrusion Detection, Electricity Theft Detection Techniques, Advanced Malware Detection Techniques, and Internet Traffic Analysis and Secure E-voting.
They have published extensively in several venues, notably the Journal Of Big Data, where they have 41 publications. Other frequent publication venues include SN Computer Science, International Journal of Internet of Things and Cyber-Assurance, the 2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA), and the International Journal of Reliability Quality and Safety Engineering.
Among their recent published papers are:
They have also contributed to book publications, including a work published by Springer Nature titled Deep Learning Applications, Volume 2 in 2020.
Frequent coauthors of Taghi M. Khoshgoftaar include:
Connor Shorten;Taghi M. Khoshgoftaar
Karl R. Weiss;Taghi M. Khoshgoftaar;Dingding Wang
Xiaoyuan Su;Taghi M. Khoshgoftaar
Maryam M Najafabadi;Flavio Villanustre;Taghi M Khoshgoftaar;Naeem Seliya
Justin M. Johnson;Taghi M. Khoshgoftaar
C. Seiffert;T.M. Khoshgoftaar;J. Van Hulse;A. Napolitano
John T. Hancock;Taghi M. Khoshgoftaar
Connor Shorten;Taghi M. Khoshgoftaar;Borko Furht
Jason Van Hulse;Taghi M. Khoshgoftaar;Amri Napolitano
Joffrey L. Leevy;Taghi M. Khoshgoftaar;Richard A. Bauder;Naeem Seliya
J.C. Munson;T.M. Khoshgoftaar
John T. Hancock;Taghi M. Khoshgoftaar
Sara Landset;Taghi M. Khoshgoftaar;Aaron N. Richter;Tawfiq Hasanin
Michael Crawford;Taghi M. Khoshgoftaar;Joseph D. Prusa;Aaron N. Richter
Richard Zuech;Taghi M Khoshgoftaar;Randall Wald
Matthew Herland;Taghi M Khoshgoftaar;Randall Wald
Oscar Day;Taghi M. Khoshgoftaar
T.M. Khoshgoftaar;M. Golawala;J. Van Hulse
Sahar Sohangir;Dingding Wang;Anna Pomeranets;Taghi M. Khoshgoftaar
Unknown
T.M. Khoshgoftaar;J.C. Munson
Kehan Gao;Taghi M. Khoshgoftaar;Huanjing Wang;Naeem Seliya
T M Khoshgoftaar;J Van Hulse;A Napolitano
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