Dalia Kirschbaum

8.7k total citations · 3 hit papers
104 papers, 5.4k citations indexed

About

Dalia Kirschbaum is a scholar working on Management, Monitoring, Policy and Law, Atmospheric Science and Global and Planetary Change. According to data from OpenAlex, Dalia Kirschbaum has authored 104 papers receiving a total of 5.4k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Management, Monitoring, Policy and Law, 62 papers in Atmospheric Science and 57 papers in Global and Planetary Change. Recurrent topics in Dalia Kirschbaum's work include Landslides and related hazards (68 papers), Flood Risk Assessment and Management (41 papers) and Cryospheric studies and observations (35 papers). Dalia Kirschbaum is often cited by papers focused on Landslides and related hazards (68 papers), Flood Risk Assessment and Management (41 papers) and Cryospheric studies and observations (35 papers). Dalia Kirschbaum collaborates with scholars based in United States, Netherlands and Italy. Dalia Kirschbaum's co-authors include Thomas Stanley, Yang Hong, George J. Huffman, Robert F. Adler, Gail Skofronick‐Jackson, Chris Kidd, Yaping Zhou, A. Lerner‐Lam, Pukar Amatya and Robert Emberson and has published in prestigious journals such as Nature Communications, PLoS ONE and Remote Sensing of Environment.

In The Last Decade

Dalia Kirschbaum

102 papers receiving 5.3k citations

Hit Papers

The Global Precipitation Measurement (GPM) Mission for Sc... 2015 2026 2018 2022 2016 2016 2015 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Dalia Kirschbaum United States 36 3.2k 3.2k 2.8k 670 468 104 5.4k
Luigi Lombardo Netherlands 36 959 0.3× 1.9k 0.6× 2.4k 0.9× 713 1.1× 390 0.8× 116 3.7k
Manfred Buchroithner Germany 28 1.3k 0.4× 1.4k 0.4× 1.5k 0.5× 513 0.8× 317 0.7× 101 3.6k
Ahmed M. Youssef Egypt 33 829 0.3× 3.2k 1.0× 2.7k 1.0× 1.1k 1.6× 966 2.1× 105 5.2k
Thomas Glade Austria 44 1.8k 0.6× 3.6k 1.1× 4.5k 1.6× 307 0.5× 312 0.7× 162 6.6k
Inge Revhaug Norway 15 804 0.2× 3.0k 0.9× 2.9k 1.0× 744 1.1× 625 1.3× 23 4.5k
Samuele Segoni Italy 37 1.8k 0.6× 2.4k 0.8× 4.2k 1.5× 263 0.4× 147 0.3× 92 4.8k
Miet Van Den Eeckhaut Belgium 31 989 0.3× 1.8k 0.6× 3.1k 1.1× 442 0.7× 224 0.5× 51 3.9k
Jean‐Philippe Malet France 50 2.1k 0.6× 2.3k 0.7× 5.6k 2.0× 872 1.3× 254 0.5× 180 7.5k
Alessandro Mondini Italy 23 1.3k 0.4× 1.9k 0.6× 3.2k 1.1× 324 0.5× 90 0.2× 49 3.6k
Haijun Qiu China 38 1.0k 0.3× 1.0k 0.3× 1.8k 0.6× 574 0.9× 146 0.3× 128 3.9k

Countries citing papers authored by Dalia Kirschbaum

Since Specialization
Citations

This map shows the geographic impact of Dalia Kirschbaum's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Dalia Kirschbaum with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dalia Kirschbaum more than expected).

Fields of papers citing papers by Dalia Kirschbaum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dalia Kirschbaum. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Dalia Kirschbaum. The network helps show where Dalia Kirschbaum may publish in the future.

Co-authorship network of co-authors of Dalia Kirschbaum

This figure shows the co-authorship network connecting the top 25 collaborators of Dalia Kirschbaum. A scholar is included among the top collaborators of Dalia Kirschbaum based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dalia Kirschbaum. Dalia Kirschbaum is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Amatya, Pukar, Robert Emberson, & Dalia Kirschbaum. (2024). Multitemporal landslide inventory and susceptibility map for the Arun River Basin, Nepal. Geoscience Data Journal. 1 indexed citations
2.
Stanley, Thomas, et al.. (2023). Spatial and Temporal Analysis of Global Landslide Reporting Using a Decade of the Global Landslide Catalog. Sustainability. 15(4). 3323–3323. 11 indexed citations
3.
Emberson, Robert, Dalia Kirschbaum, Pukar Amatya, Hakan Tanyaş, & Odin Marc. (2022). Insights from the topographic characteristics of a large global catalog of rainfall-induced landslide event inventories. Natural hazards and earth system sciences. 22(3). 1129–1149. 49 indexed citations
4.
Handwerger, Alexander L., et al.. (2022). Generating landslide density heatmaps for rapid detection using open-access satellite radar data in Google Earth Engine. Natural hazards and earth system sciences. 22(3). 753–773. 29 indexed citations
5.
Emberson, Robert, Dalia Kirschbaum, Pukar Amatya, Hakan Tanyaş, & Odin Marc. (2021). Topographic characteristics of rainfall triggered landslides from a newly compiled set of inventories. HAL (Le Centre pour la Communication Scientifique Directe). 1 indexed citations
7.
Emberson, Robert, Dalia Kirschbaum, & Thomas Stanley. (2021). Global connections between El Nino and landslide impacts. Nature Communications. 12(1). 2262–2262. 65 indexed citations
8.
Mirus, Benjamin B., Eric S. Jones, Rex L. Baum, et al.. (2020). Landslides across the USA: occurrence, susceptibility, and data limitations. Landslides. 17(10). 2271–2285. 91 indexed citations
9.
Tanyaş, Hakan, Tolga Görüm, Dalia Kirschbaum, & Luigi Lombardo. (2020). Could road constructions be more disastrous than an earthquake in terms of landsliding?. Istanbul Technical University Academic Open Archive (Istanbul Technical University). 3 indexed citations
11.
Ward, Philip J., Veit Blauhut, Nadia Bloemendaal, et al.. (2020). Review article: Natural hazard risk assessments at the global scale. Natural hazards and earth system sciences. 20(4). 1069–1096. 195 indexed citations
12.
Stanley, Thomas, et al.. (2019). A Landslide Climate Indicator from Machine Learning. AGU Fall Meeting Abstracts. 2019. 1 indexed citations
13.
Juang, Caroline S., Thomas Stanley, & Dalia Kirschbaum. (2019). Using citizen science to expand the global map of landslides: Introducing the Cooperative Open Online Landslide Repository (COOLR). PLoS ONE. 14(7). e0218657–e0218657. 66 indexed citations
14.
Yoon, Yeosang, Sujay V. Kumar, Barton A. Forman, et al.. (2019). Evaluating the Uncertainty of Terrestrial Water Budget Components Over High Mountain Asia. Frontiers in Earth Science. 7. 51 indexed citations
15.
Rossi, Mauro, Dalia Kirschbaum, Daniela Valigi, Alessandro Mondini, & Fausto Guzzetti. (2017). Comparison of Satellite Rainfall Estimates and Rain Gauge Measurements in Italy, and Impact on Landslide Modeling. Climate. 5(4). 90–90. 28 indexed citations
16.
Juang, Caroline S., Thomas Stanley, & Dalia Kirschbaum. (2017). Citizen science, GIS, and the global hunt for landslides. AGU Fall Meeting Abstracts. 2017. 1 indexed citations
17.
Kirschbaum, Dalia, et al.. (2017). Assessment of rainfall thresholds for landslide triggering in the Pacific Northwest: extreme short-term rainfall and long-term trends. AGU Fall Meeting Abstracts. 2017. 1 indexed citations
18.
Arendt, A. A., Paul R. Houser, Sarah Kapnick, et al.. (2017). NASA's High Mountain Asia Team (HiMAT): collaborative research to study changes of the High Asia region. AGU Fall Meeting Abstracts. 2017. 1 indexed citations
19.
Kidd, Chris, George J. Huffman, Dalia Kirschbaum, et al.. (2014). So, how much of the Earth's surface is covered by rain gauges?. EGU General Assembly Conference Abstracts. 10300. 3 indexed citations
20.
Rossi, Mauro, Dalia Kirschbaum, Silvia Luciani, & Fausto Guzzetti. (2012). Comparison of TRMM satellite rainfall estimates with rain gauge data and landslide empirical rainfall thresholds under different morphological and climatological conditions in Italy. EGUGA. 9354. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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