| Modeling dengue fever risk based on socioeconomic parameters, nationality and age groups: GIS and remote sensing based case study HM Khormi, L Kumar Science of the Total Environment 409 (22), 4713-4719, 2011 | 152 | 2011 |
| Climate change and the potential global distribution of Aedes aegypti: spatial modelling using geographical information system and CLIMEX HM Khormi, L Kumar Geospatial health 8 (2), 405-415, 2014 | 148 | 2014 |
| Modeling spatio-temporal risk changes in the incidence of dengue fever in Saudi Arabia: a geographical information system case study HM Khormi, L Kumar, RA Elzahrany Geospatial health 6 (1), 77-84, 2011 | 66 | 2011 |
| Assessing the risk for dengue fever based on socioeconomic and environmental variables in a geographical information system environment HM Khormi, L Kumar Geospatial health 6 (2), 171-176, 2012 | 56 | 2012 |
| Examples of using spatial information technologies for mapping and modelling mosquitoborne diseases based on environmental, climatic, socioeconomic factors and different … HM Khormi, L Kumar J Food Agr Environ 9, 41-49, 2011 | 32 | 2011 |
| Future Malaria Spatial Pattern Based on Potential Global Warming Impact in South and Southeast Asia K HM, K L Geospatial Health 11 (3), 290-298, 2016 | 31 | 2016 |
| The importance of appropriate temporal and spatial scales for dengue fever control and management HM Khormi, L Kumar Science of the total environment 430, 144-149, 2012 | 31 | 2012 |
| Describing and analysing the association between meteorological variables and adult Aedes aegypti mosquitoes. HM Khormi, LK Lalit Kumar, RA Elzahrany | 19 | 2011 |
| The spatial distribution of crime and population density in Saudi Arabia M Algahtany, L Kumar, E Barclay, HM Khormi Crime Prevention and Community Safety, 1-17, 2017 | 16 | 2017 |
| Mapping hotspots of underground water quality based on the variation of chemical concentration in Amman, Zarqa and Balqa regions, Jordan KA Alqadi, L Kumar, HM Khormi Environmental earth sciences 71, 2309-2317, 2014 | 14 | 2014 |
| Modelling interactions between vector-borne diseases and environment using GIS HM Khormi, L Kumar CRC press, 2015 | 13 | 2015 |
| Using geographic information system and remote sensing to study common mosquito-borne diseases in Saudi Arabia: A review HM Khormi, L Kumar J. Food Agric. Environ 11 (2), 14-17, 2013 | 10 | 2013 |
| Identifying and visualizing spatial patterns and hot spots of clinically-confirmed dengue fever cases and female Aedes aegypti mosquitoes in Jeddah, Saudi Arabia. HM Khormi, L Kumar WHO Regional Office for South-East Asia., 2011 | 9 | 2011 |
| Are immigrants more likely to be involved in criminal activity in Saudi Arabia? M Algahtany, L Kumar, H Khormi Open Journal of Social Sciences 4 (03), 170, 2016 | 8 | 2016 |
| Monitoring larval populations of Aedes aegypti in different residential districts of Jeddah governorate, Saudi Arabia LKJAM Khalid M. Al-Ghamdi, Abbas M. Al-Azab, Hassan M. Khormi Journal Food, Agriculture and Environment 12 (3&4), 448-452, 2014 | 7 | 2014 |
| Hotspots, research productivity and collaboration networks in remote sensing and GIS in Australia from 1991 to 2010 L Kumar, HM Khormi Journal of Spatial Science 57 (1), 101-113, 2012 | 7 | 2012 |
| Spatio-temporal changes on crime patterns in Saudi Arabia from 2003–2012 M Algahtany, L Kumar, HM Khormi Journal of Law and Social Sciences 4, 11-19, 2014 | 6 | 2014 |
| Landscape of ecological research in A ustralia: A bibliometric analysis of trends in research output and hotspots of research from 1991 to 2010 L Kumar, HM Khormi Austral Ecology 38 (5), 599-608, 2013 | 6 | 2013 |
| Grading and monitoring of a geographical region HM Khormi, MS Almaraashi US Patent 9,824,489, 2017 | 3 | 2017 |
| The benefits and challenges of scaling up dengue surveillance in Saudi Arabia from a GIS perspective HM Khormi, RA Elzahranyb, L Kumara Dengue 36, 26, 2012 | 2 | 2012 |
Dr Lalit KumarProfessor of Environmental Science (Spatial Analysis & Climate Change Impact Modelling)Email confirmado em agronomeye.com.au
