| Methodologies for model-free data interpretation of civil engineering structures D Posenato, P Kripakaran, D Inaudi, IFC Smith Computers & structures 88 (7), 467-482, 2010 | 142 | 2010 |
| Predicting thermal response of bridges using regression models derived from measurement histories R Kromanis, P Kripakaran Computers & Structures 136, 64-77, 2014 | 130 | 2014 |
| Multimodel structural performance monitoring JA Goulet, P Kripakaran, IFC Smith Journal of Structural Engineering 136 (10), 1309-1318, 2010 | 122 | 2010 |
| Support vector regression for anomaly detection from measurement histories R Kromanis, P Kripakaran Advanced Engineering Informatics 27 (4), 486-495, 2013 | 93 | 2013 |
| Long-term structural health monitoring of the Cleddau bridge: Evaluation of quasi-static temperature effects on bearing movements R Kromanis, P Kripakaran, B Harvey Structure and Infrastructure Engineering 12 (10), 1342-1355, 2016 | 74 | 2016 |
| A genetic algorithm for design of moment-resisting steel frames P Kripakaran, B Hall, A Gupta Structural and Multidisciplinary Optimization 44, 559-574, 2011 | 58 | 2011 |
| Improving system identification using clustering S Saitta, P Kripakaran, B Raphael, IF Smith Journal of Computing in Civil Engineering 22 (5), 292-302, 2008 | 55 | 2008 |
| A novel optimization approach for minimum cost design of trusses P Kripakaran, A Gupta, JW Baugh Jr Computers & structures 85 (23-24), 1782-1794, 2007 | 55 | 2007 |
| SHM of bridges: characterising thermal response and detecting anomaly events using a temperature-based measurement interpretation approach R Kromanis, P Kripakaran Journal of Civil Structural Health Monitoring 6, 237-254, 2016 | 51 | 2016 |
| Experimental study on scour at a sharp-nose bridge pier with debris blockage M Ebrahimi, P Kripakaran, DM Prodanović, R Kahraman, M Riella, ... Journal of Hydraulic Engineering 144 (12), 04018071, 2018 | 50 | 2018 |
| Configuring and enhancing measurement systems for damage identification P Kripakaran, IFC Smith Advanced Engineering Informatics 23 (4), 424-432, 2009 | 50 | 2009 |
| Data-driven approaches for measurement interpretation: analysing integrated thermal and vehicular response in bridge structural health monitoring R Kromanis, P Kripakaran Advanced Engineering Informatics 34, 46-59, 2017 | 49 | 2017 |
| A multiple camera position approach for accurate displacement measurement using computer vision R Kromanis, P Kripakaran Journal of Civil Structural Health Monitoring 11 (3), 661-678, 2021 | 41 | 2021 |
| Design of tensegrity structures using parametric analysis and stochastic search L Rhode-Barbarigos, H Jain, P Kripakaran, IFC Smith Engineering with Computers 26, 193-203, 2010 | 39 | 2010 |
| A practical method to assess risks from large wood debris accumulations at bridge piers D Panici, P Kripakaran, S Djordjević, K Dentith Science of the Total Environment 728, 138575, 2020 | 34 | 2020 |
| Application of the modal superposition technique combined with analytical elastoplastic approaches to assess the fatigue crack initiation on structural components CS Horas, JAFO Correia, AMP De Jesus, P Kripakaran, R Calçada Engineering Fracture Mechanics 185, 271-283, 2017 | 26 | 2017 |
| Feature selection Using stochastic search: An application to system identification S Saitta, P Kripakaran, B Raphael, IFC Smith Journal of Computing in Civil Engineering 24 (1), 3-10, 2009 | 26 | 2009 |
| Genetic algorithm-based decision support for optimizing seismic response of piping systems A Gupta, P Kripakaran, G.(Kumar) Mahinthakumar, JW Baugh Jr Journal of structural engineering 131 (3), 389-398, 2005 | 23 | 2005 |
| Performance of signal processing techniques for anomaly detection using a temperature-based measurement interpretation approach R Kromanis, P Kripakaran Journal of Civil Structural Health Monitoring 11, 15-34, 2021 | 18 | 2021 |
| Structural health monitoring of short to medium span bridges in the United Kingdom JMW Brownjohn, P Kripakaran, B Harvey, R Kromanis, P Jones, ... Structural Monitoring and Maintenance 3 (3), 259, 2016 | 17 | 2016 |
