76 citations as recorded by crossref.

1. Modelling spatio-temporal distribution of urban population - A high-resolution model for German cities P. Priesmeier et al. https://doi.org/10.1016/j.compenvurbsys.2026.102419
2. Coastal population and settlement trends in the U.S. 1990–2020: Where and why data choice matters for exposure assessment in coastal resilience studies Y. Ahn et al. https://doi.org/10.1016/j.geomat.2026.100101
3. The seismic hazard from the Lembang Fault, Indonesia, derived from InSAR and GNSS data E. Hussain et al. https://doi.org/10.5194/nhess-23-3185-2023
4. Temporally Consistent Present Population from Mobile Network Signaling Data for Official Statistics M. Suarez Castillo et al. https://doi.org/10.2478/jos-2023-0025
5. Deprem Hasarında Etkili Olan Kriterlerin AHP Yöntemiyle Belirlenmesi D. Sayan et al. https://doi.org/10.46464/tdad.1626422
6. Human mobility data and analysis for urban resilience: A systematic review M. Haraguchi et al. https://doi.org/10.1177/23998083221075634
7. Digital Mapping and Resilience Indicators, as Pillars of Bucharest’s Seismic Resilience Strategy M. Paunescu et al. https://doi.org/10.3390/infrastructures10020039
8. Risk assessment of people trapped in earthquake based on km grid: a case study of the 2014 Ludian earthquake, China B. Wei et al. https://doi.org/10.1080/19475705.2017.1318795
9. MobRISK: a model for assessing the exposure of road users to flash flood events S. Shabou et al. https://doi.org/10.5194/nhess-17-1631-2017
10. Health-integrated heat risk assessment in Australian cities S. Wang et al. https://doi.org/10.1016/j.eiar.2023.107176
11. Earthquake scenarios and population exposure for the city of Plovdiv D. Solakov et al. https://doi.org/10.1007/s11069-023-06087-7
12. Multi-Hazard Threat and Risk Imprints a Spatial form SWAT Analysis K. Ostad-Ali-Askari https://doi.org/10.2139/ssrn.4845530
13. Fine-scale spatiotemporal earthquake casualty risk assessment considering building function types W. Nie et al. https://doi.org/10.1016/j.ijdrr.2024.104806
14. Multi-scale dynamic population estimation: an Adaptive Inverse Distance Weighting (AIDW) model incorporating spatial characteristics M. Sadeghi et al. https://doi.org/10.1080/15230406.2025.2492670
15. Identification and evaluation of flood-avoidance routes in Tucson, Arizona A. Coles https://doi.org/10.1016/j.ijdrr.2020.101597
16. The framework of public security spatial planning from the perspective of 'Human-Space-Time' interaction S. ZHOU et al. https://doi.org/10.31497/zrzyxb.20210906
17. Dynamic seismic risk assessment of personnel entrapment at the building level in urban areas G. Gu et al. https://doi.org/10.1080/19475705.2026.2614768
18. Assessing the impact of Syrian refugees on earthquake fatality estimations in southeast Turkey B. Wilson & T. Paradise https://doi.org/10.5194/nhess-18-257-2018
19. Rapid Population Growth throughout Asia’s Earthquake-Prone Areas: A Multiscale Analysis Y. Dou et al. https://doi.org/10.3390/ijerph15091893
20. 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. https://doi.org/10.1016/j.cities.2020.102670
21. Fine–Scale Spatiotemporal Distribution Assessment of Indoor Population Based on Single Buildings: A Case in Dongcheng Subdistrict, Xichang, China B. Wei et al. https://doi.org/10.3390/su15097423
22. Application and prospect of a high-resolution remote sensing and geo-information system in estimating earthquake casualties T. Feng et al. https://doi.org/10.5194/nhess-14-2165-2014
23. Spatio-temporal population modelling as improved exposure information for risk assessments tested in the Autonomous Province of Bolzano K. Renner et al. https://doi.org/10.1016/j.ijdrr.2017.11.011
24. Reviews of Geospatial Information Technology and Collaborative Data Delivery for Disaster Risk Management H. Miyazaki et al. https://doi.org/10.3390/ijgi4041936
25. Exposition et vulnérabilité sociale des villes françaises au risque inondation : une analyse spatiotemporelle à fine échelle (1999-2017) K. Fujiki & O. Finance https://doi.org/10.4000/cybergeo.39179
26. A Remote Sensing Method to Assess the Future Multi-Hazard Exposure of Urban Areas C. Salvo & A. Vitale https://doi.org/10.3390/rs15174288
27. Assessment of Population Exposure to Urban Flood at the Building Scale S. Zhu et al. https://doi.org/10.3390/w12113253
28. Spatiotemporal Population Distribution Method for Emergency Evacuation R. Bian & C. Wilmot https://doi.org/10.3141/2532-12
29. Understanding the interacting factors that influence social vulnerability: a case study of the 2016 central Italy earthquake I. Frigerio et al. https://doi.org/10.1111/disa.12403
30. A big data-driven dynamic estimation model of relief supplies demand in urban flood disaster A. Lin et al. https://doi.org/10.1016/j.ijdrr.2020.101682
31. Optimizing warning siren placement for audibility coverage using acoustic modelling and genetic algorithms P. Aumond et al. https://doi.org/10.1080/19475705.2026.2663131
32. Open space suitability analysis for emergency shelter after an earthquake J. Anhorn & B. Khazai https://doi.org/10.5194/nhess-15-789-2015
33. 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. https://doi.org/10.1007/s12145-019-00418-8
34. Advancing tsunami risk assessment by improving spatio-temporal population exposure and evacuation modeling S. Freire et al. https://doi.org/10.1007/s11069-013-0603-4
35. Increase of Elderly Population in the Rainstorm Hazard Areas of China P. Liang et al. https://doi.org/10.3390/ijerph14090963
36. A Rapid Public Health Needs Assessment Framework for after Major Earthquakes Using High-Resolution Satellite Imagery J. Zhao et al. https://doi.org/10.3390/ijerph15061111
37. 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. https://doi.org/10.1080/19475705.2021.2017358
38. 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. https://doi.org/10.1016/j.ijdrr.2021.102331
39. Seismic risk assessment for the downtown of the city of Blida, Algeria F. Bellalem et al. https://doi.org/10.1016/j.ijdrr.2024.104314
40. Unpacking seismic risk in Italian historic centres: A critical overview for disaster risk reduction F. Giuliani et al. https://doi.org/10.1016/j.ijdrr.2021.102260
41. A decision support model for robust allocation and routing of search and rescue resources after earthquake: a case study G. Ahmadi et al. https://doi.org/10.1007/s12351-020-00591-5
42. Dynamic Assessment of Spatiotemporal Population Distribution Based on Mobile Phone Data: A Case Study in Xining City, China B. Wei et al. https://doi.org/10.1007/s13753-023-00480-3
43. The Ground Beneath Us: A Study on Earthquake Awareness and Emergency Preparedness among Residents of Koronadal City, Philippines J. Diaz https://doi.org/10.2139/ssrn.5386610
44. An agent-based model to investigate the effects of urban segregation around the clock on inequalities in health behaviour C. Cottineau-Mugadza et al. https://doi.org/10.1140/epjds/s13688-025-00603-4
45. Rapid Population Growth in Chinese Floodplains from 1990 to 2015 Y. Fang et al. https://doi.org/10.3390/ijerph15081602
46. Uncovering temporal changes in Europe’s population density patterns using a data fusion approach F. Batista e Silva et al. https://doi.org/10.1038/s41467-020-18344-5
47. Research on Fine Estimation of People Trapped after Earthquake on Single Building Level Based on Multi-Source Data S. Xie et al. https://doi.org/10.3390/app13095430
48. Border-independent multi-functional, multi-hazard exposure modelling in Alpine regions M. Pittore et al. https://doi.org/10.1007/s11069-023-06134-3
49. Population and Landslide Risk Evolution in Long Time Series: Case Study of the Valencian Community (1920–2021) I. Cantarino Martí et al. https://doi.org/10.3390/land14061148
50. Seismic loss dynamics in three Asian megacities using a macro-level approach based on socioeconomic exposure indicators G. Mestav Sarica & T. Pan https://doi.org/10.1038/s43247-022-00430-9
51. Spatio-temporal aspects and dimensions in integrated disaster risk management C. Aubrecht et al. https://doi.org/10.1007/s11069-013-0619-9
52. 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. https://doi.org/10.5194/nhess-16-1737-2016
53. Dynamic Assessment of Global Maize Exposure to Extremely High Temperatures Y. Gao et al. https://doi.org/10.1007/s13753-021-00360-8
54. 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. https://doi.org/10.1007/s11069-015-1857-9
55. The population in China’s earthquake-prone areas has increased by over 32 million along with rapid urbanization C. He et al. https://doi.org/10.1088/1748-9326/11/7/074028
56. Representative population distribution layer for Czechia: from methodology to automated solutions O. Rypl et al. https://doi.org/10.1080/17538947.2026.2616577
57. Spatial–temporal human exposure modeling based on land-use at a regional scale in China Z. Qie & L. Rong https://doi.org/10.1016/j.ssci.2016.04.016
58. 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. https://doi.org/10.3390/ijgi6050128
59. Narrowing the gap for city building height predictions C. Watson & J. Elliott https://doi.org/10.1038/s41598-025-15929-2
60. Influence of urban form and function on daytime-nighttime population differences and hazard risk assessments Y. Zhu et al. https://doi.org/10.1038/s42949-025-00282-0
61. Influence of Environmental Factors on the Site Selection and Layout of Ancient Military Towns (Zhejiang Region) L. Tan et al. https://doi.org/10.3390/su14052572
62. Dynamic Relief Items Distribution Model with Sliding Time Window in the Post-Disaster Environment B. Mishra et al. https://doi.org/10.3390/app12168358
63. Assessing population exposure for landslide risk analysis using dasymetric cartography R. Garcia et al. https://doi.org/10.5194/nhess-16-2769-2016
64. Estimating Hilly Areas Population Using a Dasymetric Mapping Approach: A Case of Sri Lanka’s Highest Mountain Range A. Karunarathne & G. Lee https://doi.org/10.3390/ijgi8040166
65. Multi-Hazard Population Exposure in Low-Elevation Coastal Zones of China from 1990 to 2020 S. Feng et al. https://doi.org/10.3390/su151712813
66. Relief Supply-Demand Estimation Based on Social Media in Typhoon Disasters Using Deep Learning and a Spatial Information Diffusion Model S. Li et al. https://doi.org/10.3390/ijgi13010029
67. Designing a cross-regional emergency response network considering spatiotemporal evolution: A smart predict-then-optimise method X. Chen et al. https://doi.org/10.1016/j.tre.2025.104547
68. A new regionally consistent exposure database for Central Asia: population and residential buildings C. Scaini et al. https://doi.org/10.5194/nhess-24-929-2024
69. Mobility behaviors shift disparity in flood exposure in U.S. population groups B. Li et al. https://doi.org/10.1016/j.ijdrr.2024.104545
70. Reprint of: Spatial–temporal human exposure modeling based on land-use at a regional scale in China Z. Qie & L. Rong https://doi.org/10.1016/j.ssci.2016.04.027
71. Risk and space: modelling the accessibility of stroke centers using day- & nighttime population distribution and different transportation scenarios S. Rauch et al. https://doi.org/10.1186/s12942-021-00284-y
72. VGDI – Advancing the Concept: Volunteered Geo‐Dynamic Information and its Benefits for Population Dynamics Modeling C. Aubrecht et al. https://doi.org/10.1111/tgis.12203
73. Impact of Temporal Population Distribution on Earthquake Loss Estimation: A Case Study on Sylhet, Bangladesh S. Ara https://doi.org/10.1007/s13753-014-0033-2
74. Migration as a hidden risk factor in seismic fatality: spatial modeling of the Chi-Chi earthquake and suburban syndrome T. Chen et al. https://doi.org/10.5194/nhess-24-4457-2024
75. Assessing spatial benefits of urban regeneration programs in a highly vulnerable urban context: A case study in Catania, Italy D. La Rosa et al. https://doi.org/10.1016/j.landurbplan.2016.05.031
76. Impact of population spatiotemporal patterns on earthquake human losses J. Dabbeek et al. https://doi.org/10.1016/j.ijdrr.2025.105455