| Climate‐driven uncertainties in modeling terrestrial gross primary production: a site level to global‐scale analysis R Barman, AK Jain, M Liang Global change biology 20 (5), 1394-1411, 2014 | 95 | 2014 |
| Carbon dynamics in the Amazonian Basin: Integration of eddy covariance and ecophysiological data with a land surface model B El-Masri, R Barman, P Meiyappan, Y Song, M Liang, AK Jain Agricultural and forest meteorology 182, 156-167, 2013 | 59 | 2013 |
| Climate‐driven uncertainties in modeling terrestrial energy and water fluxes: A site‐level to global‐scale analysis R Barman, AK Jain, M Liang Global change biology 20 (6), 1885-1900, 2014 | 42 | 2014 |
| Tsunami travel time prediction using neural networks R Barman, B Prasad Kumar, PC Pandey, SK Dube Geophysical research letters 33 (16), 2006 | 42 | 2006 |
| Transfer learning for small dataset R Barman, S Deshpande, S Agarwal, U Inamdar, M Devare, A Patil Proceedings of the National Conference on Machine Learning 26, 2019 | 35 | 2019 |
| Leakage current behavior of BiFeO3/BiMnO3 multilayer fabricated by pulsed laser deposition R Barman, D Kaur Journal of Alloys and Compounds 644, 506-512, 2015 | 29 | 2015 |
| Improved magnetocaloric effect in magnetron sputtered Ni–Mn–Sb–Al ferromagnetic shape memory alloy thin films R Barman, D Kaur Vacuum 120, 22-26, 2015 | 23 | 2015 |
| A new approach for deriving temperature and salinity fields in the Indian Ocean using artificial neural networks PK Bhaskaran, R Rajesh Kumar, R Barman, R Muthalagu Journal of marine science and technology 15, 160-175, 2010 | 23 | 2010 |
| Improved photovoltaic effect in CuO/Zn1− xMgxO heterojunction solar cell by pulsed laser deposition R Bhardwaj, R Barman, D Kaur Materials Letters 185, 230-234, 2016 | 22 | 2016 |
| Multiferroic tunnel junction of Ni50. 3Mn36. 9Sb12. 8/BiFeO3/Ni50. 3Mn36. 9Sb12. 8 for magneto-electric random access memory devices R Barman, D Kaur Applied Physics Letters 108 (9), 2016 | 17 | 2016 |
| Improved multiferroic properties of graded Mn doped BiFeO3 thin film R Barman, D Kaur Vacuum 146, 221-224, 2017 | 15 | 2017 |
| Enhanced exchange bias in magnetron-sputtered Ni–Mn–Sb–Al ferromagnetic shape memory alloy thin films R Barman, SK Singh, D Kaur Current Applied Physics 14 (12), 1755-1759, 2014 | 14 | 2014 |
| Comparison of effects of cold‐region soil/snow processes and the uncertainties from model forcing data on permafrost physical characteristics R Barman, AK Jain Journal of Advances in Modeling Earth Systems 8 (1), 453-466, 2016 | 11 | 2016 |
| Structural phase transition and enhanced ferroelectricity in Bi (Fe1− xMnx) O3 thin films deposited by pulsed laser deposition R Barman, SK Singh, D Kaur Thin Solid Films 594, 80-87, 2015 | 11 | 2015 |
| Estimation and prediction of screening efficiency of Sand Crumb Rubber (SCR) mix infill trench A Sarkar, R Barman, D Bhowmik International Journal of Geotechnical Engineering 16 (8), 1013-1031, 2022 | 9 | 2022 |
| Automated train scheduling system using genetic algorithm R Barman, CJ Baishya, B Kharmalki, A Syiemlieh, KB Pegu, T Das, ... 2015 International Symposium on Advanced Computing and Communication (ISACC …, 2015 | 9 | 2015 |
| Development of a new comprehensive ocean atlas for Indian Ocean utilizing ARGO data B Prasad Kumar, R Barman, SK Dube, PC Pandey, M Ravichandran, ... International Journal of Climatology: A Journal of the Royal Meteorological …, 2010 | 9 | 2010 |
| Lossless data compression method using deep learning R Barman, S Badade, S Deshpande, S Agarwal, N Kulkarni Machine Intelligence and Smart Systems: Proceedings of MISS 2021, 145-151, 2022 | 8 | 2022 |
| Numerical investigation on vibration screening using geofoam and sand–crumb rubber mixture infilled trench A Sarkar, R Barman, D Bhowmik International Journal of Geosynthetics and Ground Engineering 7 (4), 84, 2021 | 8 | 2021 |
| Analysis of solid elastic cylinders with internal losses using complete sets of functions DD Ebenezer, K Nirnimesh, R Barman, R Kumar, SB Singh Journal of sound and vibration 310 (1-2), 197-216, 2008 | 7 | 2008 |