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 Vladimir Cherkassky sits on this spectrum.
This scientist: 170 publications — 35th percentile
35% 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 Vladimir Cherkassky sits on this spectrum.
This scientist: 39 D-Index — 33rd percentile
33% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Vladimir Cherkassky is affiliated with the University of Minnesota in the United States and has a research profile spanning several interconnected fields, chiefly computer science and materials science. Their work bridges theoretical and applied aspects of artificial intelligence and materials chemistry, with contributions in cognitive neuroscience, signal processing, and cardiovascular medicine as well.
Their research topics cover a variety of areas, including EEG and brain-computer interfaces, blind source separation techniques, ECG monitoring and analysis, advanced chemical sensor technologies, currency recognition and detection, machine learning applications in materials science, and X-ray diffraction in crystallography. This multidisciplinary focus underscores a broad approach to both computational and experimental methodologies.
Recent publications authored or co-authored by Vladimir Cherkassky include:
Frequent co-authors collaborating with Cherkassky include Eng Hock Lee, Hsiang-Han Chen, Han-Tai Shiao, Tony Low, and Wei Jiang. These collaborations have contributed to several papers, often focusing on machine learning, neuroscience, and materials science topics.
Their work appears primarily in journals such as Neural Networks, Brain Sciences, Physical Review Materials, and preprint repositories like arXiv (Cornell University) and Preprints.org. Neural Networks is among the venues with more than one publication, reflecting a recurring engagement with this journal.
Cherkassky's main fields of study incorporate:
Key subfields in their research involve:
This profile highlights a scholar working at the intersection of computational theories and practical applications in neuroscience and materials science, with a consistent output in high-impact interdisciplinary venues.
Vladimir Cherkassky;Yunqian Ma
Vladimir Cherkassky;Filip M. Mulier
Tao Xiong;V. Cherkassky
Vladimir S Cherkassky;Filip Mulier
V. Cherkassky
Stephen LaConte;Stephen C. Strother;Vladimir Cherkassky;Jon R. Anderson
V. Cherkassky;D. Gehring;F. Mulier
V. Cherkassky;Xuhui Shao;F.M. Mulier;V.N. Vapnik
Filip Mulier;Vladimir Cherkassky
Vladimir Cherkassky;Yunqian Ma
Vladimir Cherkassky;Jerome H. Friedman;Harry Wechsler
Han-Tai Shiao;Vladimir Cherkassky;Jieun Lee;Brandon Veber
Vladimir Cherkassky;Hossein Lari-Najafi
Unknown
Vladimir Cherkassky;Yunqian Ma
Shi Zhong;V. Cherkassky
Vladimir Cherkassky;Jerome H. Friedman;Harry Wechsler
D.N. Zhou;V. Cherkassky;T.R. Baldwin;D.E. Olson
V. Cherkassky;V. Krasnopolsky;D. P. Solomatine;J. Valdes
Vladimir Cherkassky
Feng Cai;V. Cherkassky
Vladimir Cherkassky;Filip M. Mulier
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