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 Jeffrey O. Kephart sits on this spectrum.
This scientist: 184 publications — 40th percentile
40% 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 Jeffrey O. Kephart sits on this spectrum.
This scientist: 65 D-Index — 83rd percentile
83% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Jeffrey O. Kephart is affiliated with IBM in the United States and has contributed to research primarily in computer science and engineering. Their work encompasses various subfields including computer vision and pattern recognition, computational mechanics, biomedical engineering, human-computer interaction, and neurology.
Their recent publications are mainly hosted on arXiv (Cornell University) and include the following papers:
The main areas of study covered in these works include human pose and action recognition, 3D shape modeling and analysis, hand gesture recognition systems, face recognition and analysis, facial nerve paralysis treatment and research, generative adversarial networks and image synthesis, as well as anatomy and medical technology.
Frequent coauthors in their research collaborations are:
Kephart's publication record shows significant focus on advancing techniques in 3D reconstruction, human dynamics estimation, and the integration of knowledge priors and uncertainty modeling in visual computing tasks. Their research also extends into developing systems for natural language queries over diverse and heterogeneous data sources.
Across both main and subfields of study, computer vision plays a central role, alongside applications in biomedical engineering and human-computer interaction. Their contributions span algorithmic innovations and system development aimed at improving the accuracy and efficiency of automated recognition and modeling technologies.
Their works have been disseminated primarily through preprint repositories, facilitating rapid access to evolving research findings. This approach aligns with emerging trends in open scientific communication and interdisciplinary collaboration within the computing and engineering domains.
J.O. Kephart;D.M. Chess
J.O. Kephart;S.R. White
Dara Kusic;Jeffrey O. Kephart;James E. Hanson;Nagarajan Kandasamy
C.A. Waldspurger;T. Hogg;B.A. Huberman;J.O. Kephart
William C. Arnold;David M. Chess;Jeffrey O. Kephart;Steven R. White
J. O. Kephart
W.E. Walsh;G. Tesauro;J.O. Kephart;R. Das
J.O. Kephart;S.R. White
A. R. Greenwald;J. O. Kephart
Jeffrey O. Kephart
Xiaoqiao Meng;Canturk Isci;Jeffrey Kephart;Li Zhang
S.R. White;J.E. Hanson;I. Whalley;D.M. Chess
J.O. Kephart;W.E. Walsh
J.O. Kephart;S.R. White;D.M. Chess
Jeffrey O. Kephart;James E. Hanson;Amy R. Greenwald
Rajarshi Das;James E. Hanson;Jeffrey O. Kephart;Gerald Tesauro
Gerald Tesauro;David M. Chess;William E. Walsh;Rajarshi Das
Jeffrey O. Kephart
Richard B. Segal;Jeffrey O. Kephart
Jeffrey Owen Kephart;ジェフリー・オーエン・ケファート
If you think any of the details on this page are incorrect, let us know.
Exploring Computer Science in the USA opens a variety of online degree and career opportunities. Many prospective students are interested in finding the cheapest mba online options, enabling them to gain essential business and technical skills while minimizing costs.
For those eager to fast-track their education, consider a 1 year masters degree online. These accelerated programs are designed for busy learners who want to quickly boost their credentials and career prospects.
If you’re seeking flexible pathways that offer strong earning potential, you may want to explore easy degrees that pay well. These can help you enter the tech workforce rapidly without years of study.
With the fast-growing demand for machine learning experts, pursuing online ai degree programs is another promising option. These programs are crafted to provide vital skills for careers in artificial intelligence and data science.
Whether you want an affordable path, a quick turnaround, or expertise in innovative technologies, online degrees offer versatile solutions for every aspiring computer science professional.
Jilin University
Technical University of Denmark
University of Waterloo
Argonne National Laboratory
University of Wisconsin–Milwaukee
National Academies of Sciences, Engineering, and Medicine
Technion – Israel Institute of Technology
Dalhousie University
University of New South Wales
Institució Catalana de Recerca i Estudis Avançats
University of Guelph
Tokyo Institute of Technology
Columbia University
University of Lorraine
Carleton University
University of Cambridge
