60 citations as recorded by crossref.

1. The seismic hazard from the Lembang Fault, Indonesia, derived from InSAR and GNSS data E. Hussain et al. 10.5194/nhess-23-3185-2023
2. Temporally Consistent Present Population from Mobile Network Signaling Data for Official Statistics M. Suarez Castillo et al. 10.2478/jos-2023-0025
3. Human mobility data and analysis for urban resilience: A systematic review M. Haraguchi et al. 10.1177/23998083221075634
4. Risk assessment of people trapped in earthquake based on km grid: a case study of the 2014 Ludian earthquake, China B. Wei et al. 10.1080/19475705.2017.1318795
5. MobRISK: a model for assessing the exposure of road users to flash flood events S. Shabou et al. 10.5194/nhess-17-1631-2017
6. Health-integrated heat risk assessment in Australian cities S. Wang et al. 10.1016/j.eiar.2023.107176
7. Earthquake scenarios and population exposure for the city of Plovdiv D. Solakov et al. 10.1007/s11069-023-06087-7
8. Multi-Hazard Threat and Risk Imprints a Spatial form SWAT Analysis K. Ostad-Ali-Askari 10.2139/ssrn.4845530
9. Fine-scale spatiotemporal earthquake casualty risk assessment considering building function types W. Nie et al. 10.1016/j.ijdrr.2024.104806
10. Identification and evaluation of flood-avoidance routes in Tucson, Arizona A. Coles 10.1016/j.ijdrr.2020.101597
11. The framework of public security spatial planning from the perspective of 'Human-Space-Time' interaction S. ZHOU et al. 10.31497/zrzyxb.20210906
12. Assessing the impact of Syrian refugees on earthquake fatality estimations in southeast Turkey B. Wilson & T. Paradise 10.5194/nhess-18-257-2018
13. Rapid Population Growth throughout Asia’s Earthquake-Prone Areas: A Multiscale Analysis Y. Dou et al. 10.3390/ijerph15091893
14. Comparison of the spatiotemporal mobility patterns among typical subgroups of the actual population with mobile phone data: A case study of Beijing Y. Wu et al. 10.1016/j.cities.2020.102670
15. Fine–Scale Spatiotemporal Distribution Assessment of Indoor Population Based on Single Buildings: A Case in Dongcheng Subdistrict, Xichang, China B. Wei et al. 10.3390/su15097423
16. Application and prospect of a high-resolution remote sensing and geo-information system in estimating earthquake casualties T. Feng et al. 10.5194/nhess-14-2165-2014
17. Spatio-temporal population modelling as improved exposure information for risk assessments tested in the Autonomous Province of Bolzano K. Renner et al. 10.1016/j.ijdrr.2017.11.011
18. Reviews of Geospatial Information Technology and Collaborative Data Delivery for Disaster Risk Management H. Miyazaki et al. 10.3390/ijgi4041936
19. Exposition et vulnérabilité sociale des villes françaises au risque inondation : une analyse spatiotemporelle à fine échelle (1999-2017) K. Fujiki & O. Finance 10.4000/cybergeo.39179
20. A Remote Sensing Method to Assess the Future Multi-Hazard Exposure of Urban Areas C. Salvo & A. Vitale 10.3390/rs15174288
21. Assessment of Population Exposure to Urban Flood at the Building Scale S. Zhu et al. 10.3390/w12113253
22. Spatiotemporal Population Distribution Method for Emergency Evacuation R. Bian & C. Wilmot 10.3141/2532-12
23. Understanding the interacting factors that influence social vulnerability: a case study of the 2016 central Italy earthquake I. Frigerio et al. 10.1111/disa.12403
24. A big data-driven dynamic estimation model of relief supplies demand in urban flood disaster A. Lin et al. 10.1016/j.ijdrr.2020.101682
25. Open space suitability analysis for emergency shelter after an earthquake J. Anhorn & B. Khazai 10.5194/nhess-15-789-2015
26. Research on the estimation of the real-time population in an earthquake area based on phone signals: A case study of the Jiuzhaigou earthquake C. Xia et al. 10.1007/s12145-019-00418-8
27. Advancing tsunami risk assessment by improving spatio-temporal population exposure and evacuation modeling S. Freire et al. 10.1007/s11069-013-0603-4
28. Increase of Elderly Population in the Rainstorm Hazard Areas of China P. Liang et al. 10.3390/ijerph14090963
29. A Rapid Public Health Needs Assessment Framework for after Major Earthquakes Using High-Resolution Satellite Imagery J. Zhao et al. 10.3390/ijerph15061111
30. Risk assessment of people trapped in earthquake disasters based on a single building: a case study in Xichang city, Sichuan Province, China B. Wei et al. 10.1080/19475705.2021.2017358
31. An analysis of the temporal and spatial gathering and dispersion patterns of crowds at the community level after the 2020 M5.1 Tangshan Guye earthquake D. Li et al. 10.1016/j.ijdrr.2021.102331
32. Seismic risk assessment for the downtown of the city of Blida, Algeria F. Bellalem et al. 10.1016/j.ijdrr.2024.104314
33. Unpacking seismic risk in Italian historic centres: A critical overview for disaster risk reduction F. Giuliani et al. 10.1016/j.ijdrr.2021.102260
34. A decision support model for robust allocation and routing of search and rescue resources after earthquake: a case study G. Ahmadi et al. 10.1007/s12351-020-00591-5
35. Dynamic Assessment of Spatiotemporal Population Distribution Based on Mobile Phone Data: A Case Study in Xining City, China B. Wei et al. 10.1007/s13753-023-00480-3
36. Rapid Population Growth in Chinese Floodplains from 1990 to 2015 Y. Fang et al. 10.3390/ijerph15081602
37. Uncovering temporal changes in Europe’s population density patterns using a data fusion approach F. Batista e Silva et al. 10.1038/s41467-020-18344-5
38. Research on Fine Estimation of People Trapped after Earthquake on Single Building Level Based on Multi-Source Data S. Xie et al. 10.3390/app13095430
39. Border-independent multi-functional, multi-hazard exposure modelling in Alpine regions M. Pittore et al. 10.1007/s11069-023-06134-3
40. Seismic loss dynamics in three Asian megacities using a macro-level approach based on socioeconomic exposure indicators G. Mestav Sarica & T. Pan 10.1038/s43247-022-00430-9
41. Spatio-temporal aspects and dimensions in integrated disaster risk management C. Aubrecht et al. 10.1007/s11069-013-0619-9
42. What if the 25 October 2011 event that struck Cinque Terre (Liguria) had happened in Genoa, Italy? Flooding scenarios, hazard mapping and damage estimation F. Silvestro et al. 10.5194/nhess-16-1737-2016
43. Dynamic Assessment of Global Maize Exposure to Extremely High Temperatures Y. Gao et al. 10.1007/s13753-021-00360-8
44. Speeding up the clock in remote sensing: identifying the ‘black spots’ in exposure dynamics by capitalizing on the full spectrum of joint high spatial and temporal resolution C. Aubrecht et al. 10.1007/s11069-015-1857-9
45. The population in China’s earthquake-prone areas has increased by over 32 million along with rapid urbanization C. He et al. 10.1088/1748-9326/11/7/074028
46. Spatial–temporal human exposure modeling based on land-use at a regional scale in China Z. Qie & L. Rong 10.1016/j.ssci.2016.04.016
47. Modeling the Hourly Distribution of Population at a High Spatiotemporal Resolution Using Subway Smart Card Data: A Case Study in the Central Area of Beijing Y. Ma et al. 10.3390/ijgi6050128
48. Influence of Environmental Factors on the Site Selection and Layout of Ancient Military Towns (Zhejiang Region) L. Tan et al. 10.3390/su14052572
49. Dynamic Relief Items Distribution Model with Sliding Time Window in the Post-Disaster Environment B. Mishra et al. 10.3390/app12168358
50. Assessing population exposure for landslide risk analysis using dasymetric cartography R. Garcia et al. 10.5194/nhess-16-2769-2016
51. Estimating Hilly Areas Population Using a Dasymetric Mapping Approach: A Case of Sri Lanka’s Highest Mountain Range A. Karunarathne & G. Lee 10.3390/ijgi8040166
52. Multi-Hazard Population Exposure in Low-Elevation Coastal Zones of China from 1990 to 2020 S. Feng et al. 10.3390/su151712813
53. Relief Supply-Demand Estimation Based on Social Media in Typhoon Disasters Using Deep Learning and a Spatial Information Diffusion Model S. Li et al. 10.3390/ijgi13010029
54. A new regionally consistent exposure database for Central Asia: population and residential buildings C. Scaini et al. 10.5194/nhess-24-929-2024
55. Mobility behaviors shift disparity in flood exposure in U.S. population groups B. Li et al. 10.1016/j.ijdrr.2024.104545
56. Reprint of: Spatial–temporal human exposure modeling based on land-use at a regional scale in China Z. Qie & L. Rong 10.1016/j.ssci.2016.04.027
57. Risk and space: modelling the accessibility of stroke centers using day- & nighttime population distribution and different transportation scenarios S. Rauch et al. 10.1186/s12942-021-00284-y
58. VGDI – Advancing the Concept: Volunteered Geo‐Dynamic Information and its Benefits for Population Dynamics Modeling C. Aubrecht et al. 10.1111/tgis.12203
59. Impact of Temporal Population Distribution on Earthquake Loss Estimation: A Case Study on Sylhet, Bangladesh S. Ara 10.1007/s13753-014-0033-2
60. Assessing spatial benefits of urban regeneration programs in a highly vulnerable urban context: A case study in Catania, Italy D. La Rosa et al. 10.1016/j.landurbplan.2016.05.031