| A graph-based segmentation algorithm for tree crown extraction using airborne LiDAR data VF Strīmbu, BM Strīmbu ISPRS Journal of Photogrammetry and Remote Sensing 104, 30-43, 2015 | 151 | 2015 |
| A networked swarm model for UAV deployment in the assessment of forest environments MR Brust, BM Strimbu 2015 IEEE Tenth international conference on intelligent sensors, sensor …, 2015 | 83 | 2015 |
| Stem measurements and taper modeling using photogrammetric point clouds R Fang, BM Strimbu Remote Sensing 9 (7), 716, 2017 | 38 | 2017 |
| Bayesian and classical machine learning methods: a comparison for tree species classification with LiDAR waveform signatures T Zhou, SC Popescu, AM Lawing, M Eriksson, BM Strimbu, PC Bürkner Remote Sensing 10 (1), 39, 2017 | 36 | 2017 |
| Forest conditions and management under rapid legislation change in Romania BM Strimbu, GM Hickey, VG Strimbu The Forestry Chronicle 81 (3), 350-358, 2005 | 35 | 2005 |
| Comparison of mature Douglas-firs’ crown structures developed with two quantitative structural models using TLS point clouds for neighboring trees in a natural regime stand R Fang, BM Strimbu Remote Sensing 11 (14), 1661, 2019 | 25 | 2019 |
| A deterministic harvest scheduler using perfect bin-packing theorem BM Strimbu, JL Innes, VF Strimbu European Journal of Forest Research 129, 961-974, 2010 | 20 | 2010 |
| An analytical platform for cumulative impact assessment based on multiple futures: the impact of petroleum drilling and forest harvesting on moose (Alces alces) and marten … B Strimbu, J Innes Journal of environmental management 92 (7), 1740-1752, 2011 | 18 | 2011 |
| Sensitivity of forest plan value to parameters of simulated annealing BM Strimbu, M Paun Canadian Journal of Forest Research 43 (1), 28-38, 2013 | 16 | 2013 |
| Forest inventory sensitivity to UAS-based image processing algorithms B Maturbongs, MG Wing, B Strimbu, J Burnett Annals of Forest Research 52, 87-108, 2009 | 15 | 2009 |
| Twenty years of research on water management issues in the Danube Macro-region—past developments and future directions E Feldbacher, M Paun, W Reckendorfer, M Sidoroff, A Stanica, B Strimbu, ... Science of the Total Environment 572, 1297-1306, 2016 | 13 | 2016 |
| Correction for bias of models with lognormal distributed variables in absence of original data B Strimbu Annals of Forest Research 55 (2), 265-279, 2012 | 13 | 2012 |
| Regional variability of the Romanian main tree species growth using national forest inventory increment cores G Marin, VC Strimbu, IV Abrudan, BM Strimbu Forests 11 (4), 409, 2020 | 12 | 2020 |
| An assessment of the O-ring methodology using virgin stands of mixed European beech–Sessile oak BM Strimbu, IC Petritan, C Montes, IA Biris Forest Ecology and Management 384, 378-388, 2017 | 10 | 2017 |
| Multiple point-of-testing nutrition counseling sessions reduce risk factors for chronic disease among older adults MH Walker, MW Murimi, Y Kim, A Hunt, D Erickson, B Strimbu Journal of Nutrition in Gerontology and Geriatrics 31 (2), 146-157, 2012 | 9 | 2012 |
| Estimating tree defects with point clouds developed from active and passive sensors CJ Morgan, M Powers, BM Strimbu Remote Sensing 14 (8), 1938, 2022 | 8 | 2022 |
| Estimation of Eucalyptus productivity using efficient artificial neural network RR de Oliveira Neto, HG Leite, JM Gleriani, BM Strimbu European Journal of Forest Research 141 (1), 129-151, 2022 | 8 | 2022 |
| A posteriori bias correction of three models used for environmental reporting BM Strimbu, A Amarioarei, JP McTague, MM Paun Forestry: An International Journal of Forest Research 91 (1), 49-62, 2018 | 8 | 2018 |
| Comparing the efficiency of intensity-based forest inventories with sampling-error-based forest inventories BM Strimbu Forestry 87 (2), 249-255, 2014 | 8 | 2014 |
| Heuristic optimization of thinning individual Douglas-fir T West, J Sessions, BM Strimbu Forests 12 (3), 280, 2021 | 7 | 2021 |
