Daniel Paes

25 papers receiving 505 citations

Peers

Daniel Paes
Comparison fields: 5 of 80
  • Human-Computer Interaction 244
  • Geology 100
  • Building and Construction 135
  • Computer Vision and Pattern Recognition 146
  • Radiological and Ultrasound Technology 32
Replace Wang Peng with:
Wang Peng China
Yuxuan Zhang China
Mattias Roupé Sweden
Timothy Hayes Spain
Zhenan Feng New Zealand
Ahmad Hadavi United States
Ricardo Eiris United States
Joseph Chuenhuei Huang United States
Jason Lucas United States
Semiha Ergan United States
Daniel Paes relative to Wang Peng China Wang Peng's profile →
Citations per field
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Wang Peng · 1×
Citations per year

Countries citing papers authored by Daniel Paes

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Paes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel Paes, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel Paes Line = papers co-authored together Daniel Paes links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017207
2 202369
3 202165
4 201821
5 202319
6 202219
7 201918
8 202216
9 202215
10 201913
11 201913
12 202412
13 20246
14 20216
15 20225
16 20195
17 20204
18 20243
19 20183
20 20252

About Daniel Paes

Daniel Paes is a scholar working on Human-Computer Interaction, Building and Construction, Geology, Computer Vision and Pattern Recognition and Ocean Engineering, having authored 33 papers that have together received 526 indexed citations. Recurring topics across this work include Virtual Reality Applications and Impacts (17 papers), BIM and Construction Integration (11 papers), 3D Surveying and Cultural Heritage (10 papers), Evacuation and Crowd Dynamics (7 papers), Augmented Reality Applications (7 papers), Construction Project Management and Performance (6 papers), Human-Automation Interaction and Safety (4 papers) and Risk and Safety Analysis (2 papers). The work is most often cited by research in Human-Computer Interaction (244 citations), Geology (100 citations), Building and Construction (135 citations), Computer Vision and Pattern Recognition (146 citations) and Radiological and Ultrasound Technology (32 citations). Daniel Paes has collaborated with scholars based in New Zealand, United States and Brazil. Frequent co-authors include Javier Irizarry, Diego Guimarães Florêncio Pujoni, Ruggiero Lovreglio, Zhongxiang Feng, Fulvio Parisi, Tak Wing Yiu, Zhenan Feng, Mostafa Babaeian Jelodar, Monty Sutrisna and Mark Billinghurst. Their work appears in journals such as Automation in Construction, Smart and Sustainable Built Environment, Safety Science, International Journal of Disaster Risk Reduction and Engineering Construction & Architectural Management.

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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