World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
36
Citations
6090
World Ranking
11185
National Ranking
84

Overview

John B. Theocharis is affiliated with Aristotle University of Thessaloniki in Greece. Their research spans multiple fields, including Medicine, Environmental Science, and Computer Science, with a stronger focus on subfields such as Environmental Engineering and Artificial Intelligence.

Their academic work covers a variety of scientific topics. These include:

  • Soil Geostatistics and Mapping
  • Osteoarthritis Treatment and Mechanisms
  • Spectroscopy and Chemometric Analyses
  • Geochemistry and Geologic Mapping
  • Remote Sensing in Agriculture
  • Diabetic Foot Ulcer Assessment and Management
  • Mineral Processing and Grinding

Their recent publications include several papers mainly published between 2020 and 2021, reflecting interdisciplinary research combining environmental science and computer science approaches. Notable papers are:

  • Simultaneous prediction of soil properties from VNIR-SWIR spectra using a localized multi-channel 1-D convolutional neural network, 2020, Geoderma
  • An integrated methodology using open soil spectral libraries and Earth Observation data for soil organic carbon estimations in support of soil-related SDGs, 2020, Remote Sensing of Environment
  • Employing a Multi-Input Deep Convolutional Neural Network to Derive Soil Clay Content from a Synergy of Multi-Temporal Optical and Radar Imagery Data, 2020, Remote Sensing
  • Using autoencoders to compress soil VNIR-SWIR spectra for more robust prediction of soil properties, 2021, Geoderma
  • A three-level Multiple-Kernel Learning approach for soil spectral analysis, 2020, Neurocomputing

The frequent co-authors collaborating with John B. Theocharis include:

  • Nikolaos Tsakiridis
  • Andreas L. Symeonidis
  • Christos G. Chadoulos
  • George Zalidis
  • Serafeim Moustakidis

In terms of publishing venues, their work appears predominantly in journals and conferences focused on environmental science and machine learning. These venues include:

  • Geoderma
  • Machine Learning and Knowledge Extraction
  • Remote Sensing of Environment
  • Remote Sensing
  • Bioengineering

Best Publications

  • Long-term wind speed and power forecasting using local recurrent neural network models

    T.G. Barbounis;J.B. Theocharis;M.C. Alexiadis;P.S. Dokopoulos

  • A fuzzy model for wind speed prediction and power generation in wind parks using spatial correlation

    I.G. Damousis;M.C. Alexiadis;J.B. Theocharis;P.S. Dokopoulos

  • A recurrent fuzzy-neural model for dynamic system identification

    P.A. Mastorocostas;J.B. Theocharis

  • Short term load forecasting using fuzzy neural networks

    A.G. Bakirtzis;J.B. Theocharis;S.J. Kiartzis;K.J. Satsios

  • Locally recurrent neural networks for wind speed prediction using spatial correlation

    T. G. Barbounis;J. B. Theocharis

  • A locally recurrent fuzzy neural network with application to the wind speed prediction using spatial correlation

    T. G. Barbounis;J. B. Theocharis

  • A genetic algorithm solution approach to the hydrothermal coordination problem

    C.E. Zoumas;A.G. Bakirtzis;J.B. Theocharis;V. Petridis

  • A novel approach to short-term load forecasting using fuzzy neural networks

    S.E. Papadakis;J.B. Theocharis;S.J. Kiartzis;A.G. Bakirtzis

  • Microgenetic algorithms as generalized hill-climbing operators for GA optimization

    S.A. Kazarlis;S.E. Papadakis;J.B. Theocharis;V. Petridis

  • Locally recurrent neural networks for long-term wind speed and power prediction

    T. G. Barbounis;J. B. Theocharis

  • Fuzzy modeling for short term load forecasting using the orthogonal least squares method

    P.A. Mastorocostas;J.B. Theocharis;A.G. Bakirtzis

  • Simultaneous prediction of soil properties from VNIR-SWIR spectra using a localized multi-channel 1-D convolutional neural network

    Nikolaos L. Tsakiridis;Konstantinos D. Keramaris;John B. Theocharis;George C. Zalidis

  • SVM-Based Fuzzy Decision Trees for Classification of High Spatial Resolution Remote Sensing Images

    S. Moustakidis;G. Mallinis;N. Koutsias;J. B. Theocharis

  • A GA-based fuzzy modeling approach for generating TSK models

    S. E. Papadakis;J. B. Theocharis

  • A fuzzy expert system for peak load forecasting. Application to the Greek power system

    S.J. Kiartzis;A.G. Bakirtzis;J.B. Theocharis;G. Tsagas

  • Neural network observer for induction motor control

    J. Theocharis;V. Petridis

  • Subject Recognition Based on Ground Reaction Force Measurements of Gait Signals

    S.P. Moustakidis;J.B. Theocharis;G. Giakas

  • Short-term load forecasting in an autonomous power system using artificial neural networks

    S.J. Kiartzis;C.E. Zoumas;J.B. Theocharis;A.G. Bakirtzis

  • A high-order recurrent neuro-fuzzy system with internal dynamics: Application to the adaptive noise cancellation

    J. B. Theocharis

  • A Genetic Fuzzy-Rule-Based Classifier for Land Cover Classification From Hyperspectral Imagery

    D. G. Stavrakoudis;G. N. Galidaki;I. Z. Gitas;J. B. Theocharis

  • A memory-based learning approach utilizing combined spectral sources and geographical proximity for improved VIS-NIR-SWIR soil properties estimation

    Nikolaos Tziolas;Nikolaos Tsakiridis;Eyal Ben-Dor;John Theocharis

Frequent Co-Authors

Vassilios Petridis
Vassilios Petridis Aristotle University of Thessaloniki
Anastasios G. Bakirtzis
Anastasios G. Bakirtzis Aristotle University of Thessaloniki
Eyal Ben-Dor
Eyal Ben-Dor Tel Aviv University
George Vachtsevanos
George Vachtsevanos Georgia Institute of Technology
George A. Rovithakis
George A. Rovithakis Aristotle University of Thessaloniki
Panos Panagos
Panos Panagos European Commission
P.S. Dokopoulos
P.S. Dokopoulos Aristotle University of Thessaloniki
Periklis Chatzimisios
Periklis Chatzimisios International Hellenic University

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