The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Ravinesh C. Deo sits on this spectrum.
This scientist: 176 publications — 38th percentile
38% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 804 publications or more.
The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Ravinesh C. Deo sits on this spectrum.
This scientist: 72 D-Index — 91st percentile
91% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 107 D-Index or more.
His primary scientific interests are in Mean squared error, Extreme learning machine, Statistics, Climatology and Multivariate statistics. The concepts of his Mean squared error study are interwoven with issues in Convolutional neural network, Data mining and Pattern recognition. His Extreme learning machine research is classified as research in Artificial neural network.
His Wavelet research extends to Statistics, which is thematically connected. His Climatology research incorporates themes from Land cover, Climate extremes, Coefficient of determination and Decile. His study focuses on the intersection of Autoregressive integrated moving average and fields such as Linear regression with connections in the field of Meteorology and Algorithm.
Ravinesh C. Deo mainly investigates Mean squared error, Statistics, Artificial neural network, Artificial intelligence and Climatology. In his research, Solar energy is intimately related to Meteorology, which falls under the overarching field of Mean squared error. His work in the fields of Statistics, such as Correlation coefficient, Regression and Multivariate statistics, overlaps with other areas such as Mars Exploration Program.
His Artificial neural network study combines topics from a wide range of disciplines, such as Algorithm, Wavelet and Linear regression. Ravinesh C. Deo has researched Artificial intelligence in several fields, including Machine learning and Pattern recognition. His Climatology research incorporates elements of Global warming, Climate change and Precipitation.
His main research concerns Artificial intelligence, Mean squared error, Artificial neural network, Random forest and Statistics. His Artificial intelligence research is multidisciplinary, relying on both Machine learning and Pattern recognition. The Mean squared error study combines topics in areas such as Tree, Hilbert–Huang transform, Coefficient of determination and Wavelet transform.
His Artificial neural network research includes themes of Wind power, Support vector machine, k-nearest neighbors algorithm, Solar energy and Renewable energy. His Random forest study integrates concerns from other disciplines, such as Wind speed, Streamflow, Computational intelligence and Water resources. The study incorporates disciplines such as Copula and Flood myth in addition to Statistics.
Ravinesh C. Deo mainly focuses on Mean squared error, Artificial neural network, Random forest, Artificial intelligence and Hydrology. His Mean squared error study results in a more complete grasp of Statistics. His study in Artificial neural network is interdisciplinary in nature, drawing from both Industrial engineering, Conjugate gradient method and k-nearest neighbors algorithm.
Ravinesh C. Deo focuses mostly in the field of Random forest, narrowing it down to topics relating to Computational intelligence and, in certain cases, Stage, Global warming and Feature selection. His work on Drainage and Stormwater as part of general Hydrology research is frequently linked to Total suspended solids and Total phosphorus, bridging the gap between disciplines. His Machine learning study incorporates themes from Grid and Climate change.
Zaher Mundher Yaseen;Sadeq Oleiwi Sulaiman;Ravinesh C. Deo;Kwok Wing Chau
Zaher Mundher Yaseen;Ravinesh C. Deo;Ameer Hilal;Abbas M. Abd
Rezaul Mahmood;Roger A. Pielke;Kenneth G. Hubbard;Dev Niyogi
Sujan Ghimire;Ravinesh C. Deo;Nawin Raj;Jianchun Mi
Ravinesh C. Deo;Xiaohu Wen;Feng Qi
Ravinesh C. Deo;Mehmet Şahin
Ravinesh C. Deo;Mehmet Şahin
Zaher Mundher Yaseen;Othman Jaafar;Ravinesh C. Deo;Ozgur Kisi
Mohanad S. Al-Musaylh;Ravinesh C. Deo;Ravinesh C. Deo;Jan Franklin Adamowski;Yan Li
Ravinesh C Deo;Ozgur Kisi;Vijay P Singh
Zaher Mundher Yaseen;Zaher Mundher Yaseen;Isa Ebtehaj;Hossein Bonakdari;Ravinesh C. Deo
Seyedeh Narjes Fallah;Ravinesh Chand Deo;Mohammad Shojafar;Mauro Conti
Sujan Ghimire;Zaher Mundher Yaseen;Zaher Mundher Yaseen;Aitazaz A. Farooque;Ravinesh C. Deo
Ravinesh C. Deo;Mukesh K. Tiwari;Jan F. Adamowski;John M. Quilty
Sina Faizollahzadeh Ardabili;Bahman Najafi;Shahaboddin Shamshirband;Behrouz Minaei Bidgoli
Ramendra Prasad;Ravinesh C. Deo;Yan Li;Tek Maraseni
Ravinesh C. Deo;Ravinesh C. Deo;Mehmet Şahin
Louis Kouadio;Ravinesh C. Deo;Vivekananda Byrareddy;Jan Franklin Adamowski
Elham Fijani;Rahim Barzegar;Rahim Barzegar;Ravinesh Deo;Evangelos Tziritis
Omid Rahmati;Fatemeh Falah;Kavina Shaanu Dayal;Ravinesh C. Deo
M. A. Ghorbani;M. A. Ghorbani;Ravinesh C. Deo;Zaher Mundher Yaseen;Zaher Mundher Yaseen;Mahsa H. Kashani
C. A. McAlpine;J. I. Syktus;J. G. Ryan;R. C. Deo
Seyedeh Narjes Fallah;Ravinesh Chand Deo;Mohammad Shojafar;Mauro Conti
If you think any of the details on this page are incorrect, let us know.
Exploring a future in engineering and technology opens the door to many related online degrees and career opportunities. For students looking to expand their skills efficiently, 18 month mba programs are an attractive option. These accelerated business degrees provide leadership and management training, often suited for tech professionals aiming for executive roles.
If your interests extend to the legal or business side of tech, you might consider an accelerated paralegal certificate or accredited bookkeeping courses. These programs equip students with practical legal or financial skills that support careers in tech companies, startups, and beyond.
For those interested in organizational roles, an online administration degree provides foundational knowledge in office management, communication, and administrative technologies. This can be a strong complement to technical expertise, particularly for students aiming for management or support positions in technological fields.
Each of these pathways can be pursued online, letting you build essential skills while maintaining flexibility. Exploring these options can significantly broaden your career prospects within and beyond the engineering and technology sectors.
Hong Kong University of Science and Technology
Columbia University
University of Tokyo
Tohoku University
University of Southampton
City University of New York
University of Ulm
Pennsylvania State University
Goethe University Frankfurt
University of Nebraska Medical Center
Kanazawa University
Delft University of Technology
International Monetary Fund
University of Manitoba
Xi'an Jiaotong University
Technion – Israel Institute of Technology
