Lúcio Soibelman

5.5k total citations
144 papers, 4.0k citations indexed

About

Lúcio Soibelman is a scholar working on Building and Construction, Civil and Structural Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Lúcio Soibelman has authored 144 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Building and Construction, 38 papers in Civil and Structural Engineering and 28 papers in Electrical and Electronic Engineering. Recurrent topics in Lúcio Soibelman's work include BIM and Construction Integration (31 papers), 3D Surveying and Cultural Heritage (24 papers) and Infrastructure Maintenance and Monitoring (19 papers). Lúcio Soibelman is often cited by papers focused on BIM and Construction Integration (31 papers), 3D Surveying and Cultural Heritage (24 papers) and Infrastructure Maintenance and Monitoring (19 papers). Lúcio Soibelman collaborates with scholars based in United States, China and Germany. Lúcio Soibelman's co-authors include Burçin Becerik-Gerber, James H. Garrett, Mario Bergés, Carlos H. Caldas, Ioannis Brilakis, Ethan Goldman, H. Scott Matthews, Carlos Torres Formoso, Hyunjoo Kim and Eduardo Luís Isatto and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Energy and Energy and Buildings.

In The Last Decade

Lúcio Soibelman

138 papers receiving 3.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lúcio Soibelman United States 36 1.7k 1.0k 747 595 571 144 4.0k
Amin Hammad Canada 37 2.4k 1.4× 1.5k 1.5× 340 0.5× 836 1.4× 448 0.8× 198 4.4k
Yue Pan China 29 1.1k 0.6× 1.1k 1.1× 206 0.3× 273 0.5× 414 0.7× 77 3.4k
Vineet R. Kamat United States 42 3.3k 1.9× 1.0k 1.0× 447 0.6× 1.4k 2.3× 539 0.9× 218 6.3k
Yong K. Cho United States 38 1.7k 1.0× 1.2k 1.2× 319 0.4× 1.5k 2.5× 465 0.8× 172 4.3k
Hyoungkwan Kim South Korea 38 1.4k 0.8× 1.8k 1.8× 181 0.2× 930 1.6× 693 1.2× 130 4.6k
Feniosky Peña‐Mora United States 39 2.5k 1.4× 1.2k 1.2× 318 0.4× 1.3k 2.2× 1.7k 3.0× 147 5.5k
Mohamed Al‐Hussein Canada 45 3.9k 2.3× 1.2k 1.2× 374 0.5× 836 1.4× 1.5k 2.7× 309 6.6k
Osama Moselhi Canada 46 3.2k 1.9× 2.3k 2.3× 324 0.4× 646 1.1× 2.3k 4.1× 296 6.6k
Changwan Kim South Korea 38 1.4k 0.8× 1.0k 1.0× 230 0.3× 1.3k 2.3× 594 1.0× 81 3.6k
Hyojoo Son South Korea 30 1.2k 0.7× 906 0.9× 200 0.3× 1.1k 1.9× 522 0.9× 66 2.9k

Countries citing papers authored by Lúcio Soibelman

Since Specialization
Citations

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

Fields of papers citing papers by Lúcio Soibelman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lúcio Soibelman

This figure shows the co-authorship network connecting the top 25 collaborators of Lúcio Soibelman. A scholar is included among the top collaborators of Lúcio Soibelman 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 Lúcio Soibelman. Lúcio Soibelman 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.
Lucas, Gale, et al.. (2025). Understanding Operators’ Sensory Needs for Human–Robot Interaction in Teleoperated Demolition. Journal of Construction Engineering and Management. 151(12).
2.
Han, Ki Jin, et al.. (2024). An Aerial Photogrammetry Benchmark Dataset for Point Cloud Segmentation and Style Translation. Remote Sensing. 16(22). 4240–4240. 3 indexed citations
3.
Becerik-Gerber, Burçin, et al.. (2024). Virtual Environment for Studying the Effects of Operational and Environmental Sounds on Teleoperated Demolition. 3. 54–61. 1 indexed citations
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Becerik-Gerber, Burçin, et al.. (2024). Impact of selective environmental sound attenuation on operator performance, stress, attention, and task engagement in teleoperated demolition. Automation in Construction. 169. 105876–105876. 1 indexed citations
6.
Woods, Peter J., et al.. (2023). A multidimensional taxonomy for human-robot interaction in construction. Automation in Construction. 150. 104845–104845. 29 indexed citations
7.
Tak, Ala Nekouvaght, Burçin Becerik-Gerber, Lúcio Soibelman, & Gale Lucas. (2023). A framework for investigating the acceptance of smart home technologies: Findings for residential smart HVAC systems. Building and Environment. 245. 110935–110935. 11 indexed citations
8.
Woods, Peter J., et al.. (2022). Impact of VR-Based Training on Human–Robot Interaction for Remote Operating Construction Robots. Journal of Computing in Civil Engineering. 36(3). 62 indexed citations
9.
Hou, Yu, et al.. (2021). An Approach to Semantically Segmenting Building Components and Outdoor Scenes Based on Multichannel Aerial Imagery Datasets. Remote Sensing. 13(21). 4357–4357. 4 indexed citations
10.
Hou, Yu, Rebekka Volk, & Lúcio Soibelman. (2021). A Novel Building Temperature Simulation Approach Driven by Expanding Semantic Segmentation Training Datasets with Synthetic Aerial Thermal Images. Energies. 14(2). 353–353. 8 indexed citations
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Li, Nan, Burçin Becerik-Gerber, Bhaskar Krishnamachari, & Lúcio Soibelman. (2013). An Environment-Aware Sequence-Based Localization Algorithm for Supporting Building Emergency Response Operations. Computing in Civil Engineering. 549–556. 5 indexed citations
14.
Garrett, James H., Joel B. Harley, José M. F. Moura, et al.. (2011). Machine Learning for Pipeline Monitoring under Environmental and Operational Variations. Structural Health Monitoring. 1 indexed citations
15.
Bergés, Mario, Ethan Goldman, H. Scott Matthews, & Lúcio Soibelman. (2010). Enhancing Electricity Audits in Residential Buildings with Nonintrusive Load Monitoring. Journal of Industrial Ecology. 14(5). 844–858. 128 indexed citations
16.
Guo, Wei, Lúcio Soibelman, & James H. Garrett. (2009). Visual Pattern Recognition Supporting Defect Reporting and Condition Assessment of Wastewater Collection Systems. 23(3). 160–169. 1 indexed citations
17.
Garrett, James H., et al.. (2007). Knowledge Management and Visualization in Support of Vulnerability Assessment of Electricity Production. Transportation Research Board 86th Annual MeetingTransportation Research Board. 2 indexed citations
18.
Hung, Shih‐Lin, et al.. (2006). STEEL BRIDGE CORROSION DETECTION BY WAVELET TRANSFORM THEORY. 5 indexed citations
19.
Lin, Ken‐Yu & Lúcio Soibelman. (2005). Knowledge Assisted Retrieval of Online Product Information in A/E/C (Architecutre/Engineering/Construciton). 16. 1–12. 3 indexed citations
20.
Brilakis, Ioannis & Lúcio Soibelman. (2005). Content-Based Search Engines for construction image databases. Automation in Construction. 14(4). 537–550. 24 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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