| Energy-efficient cloud computing A Berl, E Gelenbe, M Di Girolamo, G Giuliani, H De Meer, MQ Dang, ... The Computer Journal 53 (7), 1045-1051, 2010 | 1047 | 2010 |
| A survey of autonomic communications S Dobson, S Denazis, A Fernández, D Gaïti, E Gelenbe, F Massacci, ... ACM Transactions on Autonomous and Adaptive Systems (TAAS) 1 (2), 223-259, 2006 | 989 | 2006 |
| Random neural networks with negative and positive signals and product form solution E Gelenbe Neural computation, MIT Press 1 (4), 502-510, 1989 | 919 | 1989 |
| Analysis and synthesis of computer systems E Gelenbe, I Mitrani World Scientific, 2010 | 866 | 2010 |
| Product-form queueing networks with negative and positive customers E Gelenbe Journal of Applied Probability 28 (3), 656-663, 1991 | 809 | 1991 |
| Introduction to queueing networks E Gelenbe, G Pujolle Wiley, 1998 | 691 | 1998 |
| Detecting Denial of Service Attacks with Bayesian Classifiers and the Random Neural Network G Oke, G Loukas, E Gelenbe 2007 IEEE International Fuzzy Systems Conference, London, UK., 1-6, 2007 | 683* | 2007 |
| A manifesto for future generation cloud computing: Research directions for the next decade R Buyya, SN Srirama, G Casale, R Calheiros, Y Simmhan, B Varghese, ... ACM Computing Surveys (CSUR) 51 (5), 1-38, 2019 | 582 | 2019 |
| Learning in the recurrent random neural network E Gelenbe Neural Computation 5 (1), 154-164, 1993 | 520 | 1993 |
| On approximate computer system models E Gelenbe Journal of the ACM (JACM) 22 (2), 261-269, 1975 | 423 | 1975 |
| The impact of information technology on energy consumption and carbon emissions E Gelenbe, Y Caseau ACM Ubiquity 2015 (June), 1-15, 2015 | 380 | 2015 |
| Stability of the random neural network model E Gelenbe Neural computation 2 (2), 239-247, 1990 | 374 | 1990 |
| Stability and optimal control of the packet switching broadcast channel G Fayolle, E Gelenbe, J Labetoulle Journal of the ACM (JACM) 24 (3), 375-386, 1977 | 310 | 1977 |
| Queues with negative arrivals E Gelenbe, P Glynn, K Sigman Journal of applied probability 28 (1), 245-250, 1991 | 307 | 1991 |
| On the optimum checkpoint interval E Gelenbe Journal of the ACM (JACM) 26 (2), 259-270, 1979 | 304 | 1979 |
| G-networks by triggered customer movement E Gelenbe Journal of applied probability 30 (3), 742-748, 1993 | 289 | 1993 |
| Steps toward self-aware networks E Gelenbe Communications of the ACM 52 (7), 66-75, 2009 | 280 | 2009 |
| Deep learning with dense random neural networks for detecting attacks against IoT-connected home environments O Brun, Y Yin, E Gelenbe, YM Kadioglu, J Augusto-Gonzalez, M Ramos Security in Computer and Information Sciences: First International ISCIS …, 2018 | 268 | 2018 |
| G-networks with signals and batch removal E Gelenbe Probability in the Engineering and Informational Sciences 7 (3), 335-342, 1993 | 265 | 1993 |
| G-networks with multiple classes of negative and positive customers JM Fourneau, E Gelenbe, R Suros Theoretical computer science 155 (1), 141-156, 1996 | 219 | 1996 |
Tadeusz CzachorskiIITiS PANVerified email at iitis.pl
