| Octane number prediction for gasoline blends N Pasadakis, V Gaganis, C Foteinopoulos Fuel Processing Technology 87 (6), 505-509, 2006 | 158 | 2006 |
| A novel non-iterative method for the prediction of the PVT behavior of reservoir fluids N Varotsis, V Gaganis, J Nighswander, P Guieze SPE Annual Technical Conference and Exhibition?, SPE-56745-MS, 1999 | 83 | 1999 |
| Machine Learning Methods to Speed up Compositional Reservoir Simulation (SPE 154505) V Gaganis, N Varotsis 74th EAGE Conference and Exhibition incorporating EUROPEC 2012, cp-293-00247, 2012 | 54 | 2012 |
| Predicting formation fluid property through downhole fluid analysis using artificial neural network P Hegeman, C Dong, C Woodburn, G Birkett, N Varotsis, V Gaganis US Patent 7,966,273, 2011 | 52 | 2011 |
| Accurate determination of aromatic groups in heavy petroleum fractions using HPLC-UV-DAD N Pasadakis, V Gaganis, N Varotsis Fuel 80 (2), 147-153, 2001 | 50 | 2001 |
| An integrated approach for rapid phase behavior calculations in compositional modeling V Gaganis, N Varotsis Journal of Petroleum Science and Engineering 118, 74-87, 2014 | 48 | 2014 |
| Application of artificial neural networks to downhole fluid analysis PS Hegeman, C Dong, N Varotsis, V Gaganis SPE Reservoir Evaluation & Engineering 12 (01), 8-13, 2009 | 36 | 2009 |
| Modal analysis of rotor on piecewise linear journal bearings under seismic excitation BJ Gaganis, AK Zisimopoulos, PG Nikolakopoulos, CA Papadopoulos | 31 | 1999 |
| Carbon Capture, Utilization, and Storage in Saline Aquifers: Subsurface Policies, Development Plans, Well Control Strategies and Optimization Approaches—A Review I Ismail, V Gaganis Clean Technologies 5 (2), 609-637, 2023 | 30 | 2023 |
| Non-iterative phase stability calculations for process simulation using discriminating functions V Gaganis, N Varotsis Fluid Phase Equilibria 314, 69-77, 2012 | 29 | 2012 |
| A general framework of model functions for rapid and robust solution of Rachford–Rice type of equations V Gaganis, D Marinakis, N Varotsis Fluid Phase Equilibria 322, 9-18, 2012 | 26 | 2012 |
| An Efficient Method to Predict Compressibility Factor of Natural Gas Streams V Gaganis, D Homouz, M Maalouf, N Khoury, K Polychronopoulou Energies 12 (13), 2577, 2019 | 24 | 2019 |
| Real-time control of manufacturing cells using dynamic neural networks GA Rovithakis, VI Gaganis, SE Perrakis, MA Christodoulou Automatica 35 (1), 139-149, 1999 | 24 | 1999 |
| Rapid phase stability calculations in fluid flow simulation using simple discriminating functions V Gaganis Computers & Chemical Engineering 108, 112-127, 2018 | 23 | 2018 |
| An improved BIP matrix decomposition method for reduced flash calculations V Gaganis, N Varotsis Fluid Phase Equilibria 340, 63-76, 2013 | 22 | 2013 |
| Neural networks in manufacturing cell design M Christodoulou, V Gaganis Computers in Industry 36 (1-2), 133-138, 1998 | 22 | 1998 |
| Applications of Machine Learning in Subsurface Reservoir Simulation—A Review—Part II A Samnioti, V Gaganis Energies 16 (18), 6727, 2023 | 21 | 2023 |
| Characterization of oil spills in the environment using parallel factor multiway analysis V Gaganis, N Pasadakis Analytica chimica acta 573, 328-332, 2006 | 14 | 2006 |
| Application of Machine Learning to Accelerate Gas Condensate Reservoir Simulation A Samnioti, V Anastasiadou, V Gaganis Clean Technologies 4 (1), 153-173, 2022 | 11 | 2022 |
| A recurrent neural network model to describe manufacturing cell dynamics G Rovithakis, V Gaganis, S Perrakis, M Christodoulou Proceedings of 35th IEEE Conference on Decision and Control 2, 1728-1733, 1996 | 11 | 1996 |
Sofianos Panagiotis FotiasPhD candidate, National Technical University of Athensכתובת אימייל מאומתת בדומיין metal.ntua.gr