| A comparative study of conventional, ANN black box, fuzzy and combined neural and fuzzy weighting procedures for landslide susceptibility zonation in Darjeeling Himalayas DP Kanungo, MK Arora, S Sarkar, RP Gupta Engineering geology 85 (3-4), 347-366, 2006 | 690 | 2006 |
| An integrated approach for landslide susceptibility mapping using remote sensing and GIS S Sarkar, DP Kanungo Photogrammetric Engineering & Remote Sensing 70 (5), 617-625, 2004 | 429 | 2004 |
| Landslide Susceptibility Zonation (LSZ) Mapping–A Review. DP Kanungo, MK Arora, S Sarkar, RP Gupta | 234 | 2012 |
| Landslide hazard zonation: a case study in Garhwal Himalaya, India S Sarkar, DP Kanungo, GS Mehrotra Mountain research and development, 301-309, 1995 | 215 | 1995 |
| Rainfall thresholds for prediction of shallow landslides around Chamoli-Joshimath region, Garhwal Himalayas, India DP Kanungo, S Sharma Landslides, 2013 | 144 | 2013 |
| Combining neural network with fuzzy, certainty factor and likelihood ratio concepts for spatial prediction of landslides DP Kanungo, S Sarkar, S Sharma Natural hazards 59, 1491-1512, 2011 | 136 | 2011 |
| Landslide risk assessment using concepts of danger pixels and fuzzy set theory in Darjeeling Himalayas DP Kanungo, MK Arora, RP Gupta, S Sarkar Landslides 5, 407-416, 2008 | 133 | 2008 |
| GIS based spatial data analysis for landslide susceptibility mapping S Sarkar, DP Kanungo, AK Patra, P Kumar Journal of Mountain Science 5, 52-62, 2008 | 116 | 2008 |
| Finite element modeling approach to assess the stability of debris and rock slopes: a case study from the Indian Himalayas DP Kanungo, A Pain, S Sharma Natural Hazards 69 (1), 1-24, 2013 | 97 | 2013 |
| GIS-based landslide susceptibility assessment using statistical models: a case study from Souk Ahras province, NE Algeria F Mahdadi, A Boumezbeur, R Hadji, DP Kanungo, F Zahri Arabian Journal of Geosciences 11, 1-21, 2018 | 88 | 2018 |
| Topsoil reinforcement of sandy slope for preventing erosion using water-based polyurethane soil stabilizer J Liu, Z Chen, DP Kanungo, Z Song, Y Bai, Y Wang, D Li, W Qian Engineering geology 252, 125-135, 2019 | 81 | 2019 |
| GIS-based landslide susceptibility zonation mapping using the analytic hierarchy process (AHP) method in parts of Kalimpong Region of Darjeeling Himalaya S Das, S Sarkar, DP Kanungo Environmental Monitoring and Assessment 194 (4), 234, 2022 | 79 | 2022 |
| Approaches for comparative evaluation of raster GIS-based landslide susceptibility zonation maps RP Gupta, DP Kanungo, MK Arora, S Sarkar International Journal of Applied Earth Observation and Geoinformation 10 (3 …, 2008 | 76 | 2008 |
| Artificial Neural Network (ANN) and Regression Tree (CART) applications for the indirect estimation of unsaturated soil shear strength parameters DP Kanungo, S Sharma, A Pain Frontiers of Earth Science 8 (3), 439-456, 2014 | 71 | 2014 |
| A fuzzy set based approach for integration of thematic maps for landslide susceptibility zonation DP Kanungo, MK Arora, S Sarkar, RP Gupta Georisk 3 (1), 30-43, 2009 | 66 | 2009 |
| Terrain analysis and spatial assessment of landslide hazards in parts of Sikkim Himalaya GS Mehrotra, S Sarkar, DP Kanungo, K Mahadevaiah Journal-geological society of India 47, 491-498, 1996 | 65 | 1996 |
| Rock slope stability assessment using finite element based modelling - examples from the Indian Himalayas A Pain, DP Kanungo, S Sarkar Geomechanics and Geoengineering, 2014 | 64 | 2014 |
| Stabilization of sand using different types of short fibers and organic polymer J Liu, Y Bai, Z Song, DP Kanungo, Y Wang, F Bu, Z Chen, X Shi Construction and Building Materials 253, 119164, 2020 | 63 | 2020 |
| Evaluation of strength properties of sand modified with organic polymers J Liu, Y Bai, Z Song, Y Lu, W Qian, DP Kanungo Polymers 10 (3), 287, 2018 | 61 | 2018 |
| Electrical resistivity tomography (ERT) based subsurface characterisation of Pakhi Landslide, Garhwal Himalayas, India PO Falae, DP Kanungo, PKS Chauhan, RK Dash Environmental Earth Sciences 78, 1-18, 2019 | 58 | 2019 |
R. P. GuptaProfessor of Earth Resource Technology, IIT Roorkee在 iitr.ac.in 的电子邮件经过验证
