The chart shows the distribution of publications by all Research.com ranked scientists in the field of Electronics and Electrical Engineering in 2026. The highlighted bar marks where Chrysostomos L. Nikias sits on this spectrum.
This scientist: 230 publications — 39th percentile
39% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 1,065 publications or more.
The chart shows the D-index (discipline H-index) distribution of Electronics and Electrical Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Chrysostomos L. Nikias sits on this spectrum.
This scientist: 46 D-Index — 52nd percentile
52% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 111 D-Index or more.
Chrysostomos L. Nikias mostly deals with Signal processing, Algorithm, Estimation theory, Bispectrum and Statistics. His study in Signal processing focuses on Signal reconstruction in particular. His Algorithm research includes themes of Phase and Communication channel.
Chrysostomos L. Nikias has included themes like Cumulant, Monte Carlo method and Applied mathematics in his Estimation theory study. Chrysostomos L. Nikias has researched Bispectrum in several fields, including Speech recognition, Parametric statistics and Autoregressive model. His Statistics study integrates concerns from other disciplines, such as Gaussian noise and Noise.
Algorithm, Signal processing, Electronic engineering, Estimation theory and Mathematical optimization are his primary areas of study. His Algorithm study combines topics from a wide range of disciplines, such as Speech recognition, Noise and Signal reconstruction. His specific area of interest is Signal processing, where Chrysostomos L. Nikias studies Multidimensional signal processing.
His biological study spans a wide range of topics, including Space-time adaptive processing and Statistical signal processing. His Electronic engineering study also includes
The scientist’s investigation covers issues in Algorithm, Signal processing, Noise, Statistics and Estimation theory. Chrysostomos L. Nikias interconnects Radar, Clutter, Electronic engineering and Wavelet transform in the investigation of issues within Algorithm. His Electronic engineering research focuses on subjects like Stable process, which are linked to Robustness, Probability density function, Statistical physics and Sensor array.
As a part of the same scientific family, Chrysostomos L. Nikias mostly works in the field of Signal processing, focusing on Monte Carlo method and, on occasion, Estimator. His Noise study combines topics in areas such as Interference, Detection theory, Stability and Matched filter. His work deals with themes such as Ambiguity function, Gaussian noise and Noise, which intersect with Statistics.
Chrysostomos L. Nikias focuses on Algorithm, Signal processing, Statistics, Noise and Clutter. He does research in Algorithm, focusing on Linear prediction specifically. His Signal processing research is multidisciplinary, incorporating elements of Electromagnetic interference, Linear filter, Estimation theory, Adaptive filter and Mathematical optimization.
The study incorporates disciplines such as Gaussian noise and Noise in addition to Statistics. His Noise research incorporates elements of Interference, Detection theory, Electronic engineering and Stable process. His research integrates issues of Stochastic process, Iterative method, Stability and Sonar in his study of Electronic engineering.
C.L. Nikias
C.L. Nikias;M.R. Raghuveer
Chrysostomos L. Nikias;Min Shao
Chrysostomos L. Nikias
M. Shao;C.L. Nikias
C.L. Nikias;J.M. Mendel
M. Raghuveer;C. Nikias
G.A. Tsihrintzis;C.L. Nikias
D. Hatzinakos;C.L. Nikias
P. Tsakalides;C.L. Nikias
Xinyu Ma;C.L. Nikias
G.A. Tsihrintzis;C.L. Nikias
M.I. Gurelli;C.L. Nikias
Xinyu Ma;C.L. Nikias
R. Pan;C.L. Nikias
C.L. Nikias;R. Pan
John G. Proakis;Chrysostomos L. Nikias;Charles M. Rader;Fuyun Ling
John H. Siegel;Chrysostomos L. Nikias
P. Tsakalides;C.L. Nikias
A.P. Petropulu;C.L. Nikias
If you think any of the details on this page are incorrect, let us know.
For those interested in Electronics and Electrical Engineering, exploring alternative educational routes can be highly beneficial. Many students and working professionals turn to accelerated degree programs for working adults to balance their careers with advancing their knowledge quickly. These programs offer flexibility without compromising on curriculum quality.
In addition, individuals considering teaching roles in technical fields might explore the best online master's for teaching. This path equips graduates with both subject expertise and instructional skills needed for effective education in engineering disciplines.
Competency-based education is another appealing option, especially for those who want to progress by demonstrating skills rather than completing traditional credit hours. Many students find success at the best competency-based colleges, where learning is personalized and paced to individual strengths.
Lastly, military spouses and dependents looking for flexible, reputable programs can benefit greatly from offerings highlighted in the online school for military spouses resources. These programs cater to unique schedules and circumstances, making higher education more accessible.
Gwangju Institute of Science and Technology
Polish Academy of Sciences
University of Hohenheim
Saarland University
University of Kentucky
University of California, Davis
National Institutes of Health
University of Colorado Anschutz Medical Campus
Purdue University West Lafayette
EURECOM
IBM (United States)
Princeton University
University of Toronto
University of Nantes
University of British Columbia
University of Illinois at Chicago
