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 Jitender S. Deogun sits on this spectrum.
This scientist: 310 publications — 76th percentile
76% 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 Jitender S. Deogun sits on this spectrum.
This scientist: 43 D-Index — 46th percentile
46% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Jitender S. Deogun is affiliated with the University of Nebraska-Lincoln in the United States. Their research spans the fields of Biochemistry, Genetics and Molecular Biology, and Computer Science, with a focus on several specialized subfields and main topics.
The scientist's work is prominent in the subfields of Molecular Biology, Electrical and Electronic Engineering, Plant Science, Computational Theory and Mathematics, and Artificial Intelligence. Key topics covered in their research include Genomics and Phylogenetic Studies, RNA and protein synthesis mechanisms, Gut microbiota and health, Rough Sets and Fuzzy Logic, AI in cancer detection, Bacterial Identification and Susceptibility Testing, and Optical Network Technologies.
Frequent co-authors collaborating alongside Jitender S. Deogun include Minal Khatri, Natasha Pavlovikj, João Carlos Gomes-Neto, Andrew K. Benson, and Mohammed H. Alali.
The scientist has published research in multiple venues, including arXiv (Cornell University), bioRxiv (Cold Spring Harbor Laboratory), Frontiers in Robotics and AI, ACM Computing Surveys, and BMC Bioinformatics.
The range of topics addressed by these publications reflects an integration of computational methods and biological research, particularly focusing on improving methodologies such as machine learning applications in genomics and bioinformatics.
Dan Li;Jitender S. Deogun;William Spaulding;Bill Shuart
H. L. Bodlaender;Jitender S Deogun;K. Jansen;T. Kloks
M. Ali;J.S. Deogun
M. Ali;J.S. Deogun
Peng Yang;Juan Shao;Wen Luo;Lisong Xu
Chulho Won;Jong-Hoon Youn;H. Ali;H. Sharif
Hans L. Bodlaender;Jitender S. Deogun;Klaus Jansen;Ton Kloks
A. Mahdy;J.S. Deogun
Sherri K. Harms;Jitender S. Deogun
Abdelbaset S. Hamza;Jitender S. Deogun;Dennis R. Alexander
S.K. Bhatia;J.S. Deogun
Jamil Saquer;Jitender S. Deogun
Peng Yang;Wen Luo;Lisong Xu;Jitender Deogun
Sherri K. Harms;Jitender S. Deogun;Tsegaye Tadesse
M. I. Dessouky;Jitender S. Deogun
Jitender S. Deogun;Ton Kloks;Dieter Kratsch;Haiko Müller
Eric D. Manley;Jitender S. Deogun;Lisong Xu;Dennis R. Alexander
Xuan Lin;Ying Lu;J. Deogun;S. Goddard
H. Al Nahas;J.S. Deogun
Jitender S. Deogun;Suresh K. Choubey;Vijay V. Raghavan;Hayri Sever
Maher Ali;Byrav Ramamurthy;Jitender S. Deogun
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