Bruno Adriano

1.9k total citations
73 papers, 1.3k citations indexed

About

Bruno Adriano is a scholar working on Geophysics, Media Technology and Atmospheric Science. According to data from OpenAlex, Bruno Adriano has authored 73 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Geophysics, 26 papers in Media Technology and 23 papers in Atmospheric Science. Recurrent topics in Bruno Adriano's work include earthquake and tectonic studies (28 papers), Remote-Sensing Image Classification (26 papers) and Earthquake Detection and Analysis (18 papers). Bruno Adriano is often cited by papers focused on earthquake and tectonic studies (28 papers), Remote-Sensing Image Classification (26 papers) and Earthquake Detection and Analysis (18 papers). Bruno Adriano collaborates with scholars based in Japan, Peru and Indonesia. Bruno Adriano's co-authors include Shunichi Koshimura, Erick Mas, Naoto Yokoya, Junshi Xia, Anawat Suppasri, Yanbing Bai, M. Matsuoka, Hiroyuki Miura, Fumihiko Imamura and Abdul Muhari and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing of Environment and Scientific Reports.

In The Last Decade

Bruno Adriano

66 papers receiving 1.2k citations

Peers

Bruno Adriano
Comparison fields: 5 of 77
  • Media Technology 388
  • Atmospheric Science 386
  • Geophysics 363
  • Global and Planetary Change 269
  • Artificial Intelligence 229
Hideomi Gokon Japan
Erick Mas Japan
Günter Strunz Germany
Simon Plank Germany
Marc Wieland Germany
Sadra Karımzadeh Iran
Joachim Post Germany
Harald Mehl Germany
Frank Lehmann Germany
Torsten Riedlinger Germany
Hideomi Gokon Japan View profile →
Citations per field, relative to Bruno Adriano
Bruno Adriano · 1×
Citations per year, relative to Bruno Adriano
Bruno Adriano · 1×

Countries citing papers authored by Bruno Adriano

Since Specialization
Citations

This map shows the geographic impact of Bruno Adriano'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 Bruno Adriano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bruno Adriano more than expected).

Fields of papers citing papers by Bruno Adriano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bruno Adriano. 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 Bruno Adriano. The network helps show where Bruno Adriano may publish in the future.

Co-authorship network of co-authors of Bruno Adriano

This figure shows the co-authorship network connecting the top 25 collaborators of Bruno Adriano. A scholar is included among the top collaborators of Bruno Adriano 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 Bruno Adriano. Bruno Adriano 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
# Title Journal Authors Indexed citations
1 Estimation of high-resolution tsunami inundation depth using deep learning models: Case study of Pangandaran, Indonesia Ocean Engineering Bruno Adriano, Yushiro Fujii et al. 0
2 Towards real-time extraction of cascading effect and spatiotemporal analysis using social media data International Journal of Disaster Risk Reduction Erick Mas, Bruno Adriano et al. 0
3 Understanding the relationship between building damage and tsunami inundation due to the 2024 Noto Peninsula Earthquake Ocean Engineering Bruno Adriano, Hideomi Gokon et al. 0
4 Improving Indonesia's tsunami early warning. Part II: Hybridized deep learning and metaheuristic algorithm for forecasting and optimizing Ocean Engineering Bruno Adriano, Anawat Suppasri et al. 0
5 Exploring the Feasibility of Ray Tracing SAR Simulation on Building Damage Assessment IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Erick Mas, Bruno Adriano et al. 2
6 Tracing the sources of paleotsunamis using Bayesian frameworks Communications Earth & Environment Daisuke Sugawara, Bruno Adriano et al. 0
7 Tsunami wave characteristics in Sendai Bay, Japan, following the 2016 Mw 6.9 Fukushima earthquake Ocean Engineering Anawat Suppasri, Mohammad Heidarzadeh et al. 8
8 Developing a Framework for Rapid Collapsed Building Mapping Using Satellite Imagery and Deep Learning Models Bruno Adriano, Hiroyuki Miura et al. 1
9 Beyond tsunami fragility functions: experimental assessment for building damage estimation Scientific Reports Bruno Adriano, Erick Mas et al. 4
10 Brief communication: Radar images for monitoring informal urban settlements in vulnerable zones in Lima, Peru Natural hazards and earth system sciences Luis Moya, Fernando García et al. 5
11 Brief communication: Radar images for monitoring informal urban settlements in vulnerable zones in Lima, Peru Luis Moya, Fernando García et al. 1
12 Tsunami hazard assessment for the central and southern pacific coast of Colombia Coastal Engineering Journal Luís Otero, Erick Mas et al. 3
13 Field Survey of the 28 September Earthquake Tsunami of Sulawesi, Indonesia EGU General Assembly Conference Abstracts Shunichi Koshimura, Abdul Muhari et al. 3
14 Identifying Building Damage Patterns in the 2016 Meinong, Taiwan Earthquake Using Post-Event Dual-Polarimetric ALOS-2/PALSAR-2 Imagery Journal of Disaster Research Yanbing Bai, Bruno Adriano et al. 4
15 Building Damage Assessment in the 2015 Gorkha, Nepal, Earthquake Using Only Post‐Event Dual Polarization Synthetic Aperture Radar Imagery Earthquake Spectra Yanbing Bai, Bruno Adriano et al. 28
16 Object-Based Building Damage Assessment Methodology Using Only Post Event ALOS-2/PALSAR-2 Dual Polarimetric SAR Intensity Images Journal of Disaster Research Yanbing Bai, Bruno Adriano et al. 24
17 Developing a method for urban damage mapping using radar signatures of building footprint in SAR imagery: A case study after the 2013 Super Typhoon Haiyan Bruno Adriano, Erick Mas et al. 3
18 Tsunami Waveform Inversion of the 2007 Peru (Mw8.1) Earthquake Journal of Disaster Research César Jiménez, Erick Mas et al. 13
19 An Integrated Simulation of Tsunami Hazard and Human Evacuation in La Punta, Peru Journal of Disaster Research Erick Mas, Bruno Adriano et al. 64
20 Caratterizzazione morfologica e chimico-fisica di un sistema idrografico alpino (Parco nazionale dello Stelvio, Trentino) CINECA IRIS Institutional Research Information System (Fondazione Edmund Mach) Bruno Adriano, Valeria Lencioni et al. 2

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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