Jad Chalhoub

13 papers receiving 385 citations

Peers

Jad Chalhoub
Comparison fields: 5 of 61
  • Geology 113
  • Building and Construction 247
  • Human-Computer Interaction 75
  • Management Science and Operations Research 119
  • Computer Vision and Pattern Recognition 180
Replace Martijn Truijens with:
Martijn Truijens Australia
Saeed Rokooei United States
Fábio Matoseiro Dinis Portugal
Do-Yeop Lee South Korea
Abdulkadir Ganah United Kingdom
Shakiba Davari United States
James Goedert United States
Ayaz Ahmad Khan Australia
Conrad Boton Canada
Dana K. Smith United States
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Citations per field
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Citations per year

Countries citing papers authored by Jad Chalhoub

Since Specialization
Citations

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

Fields of papers citing papers by Jad Chalhoub

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 5 scholars most cited alongside Jad Chalhoub, 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 Jad Chalhoub Line = papers co-authored together Jad Chalhoub links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 2017122
2 2017103
3 201940
4 201934
5 202122
6 202122
7 201813
8
Effect of varying task attributes on augmented reality aided point layout
201911
9 20179
10 20196
11
Perception of industry professionals about Mixed Reality for electrical prefabrication
20175
12 20215
13 20191

About Jad Chalhoub

Jad Chalhoub is a scholar working on Building and Construction, Computer Vision and Pattern Recognition, Geology, Management Science and Operations Research and Social Psychology, having authored 13 papers that have together received 393 indexed citations. Recurring topics across this work include BIM and Construction Integration (12 papers), Augmented Reality Applications (11 papers), 3D Surveying and Cultural Heritage (7 papers), Construction Project Management and Performance (3 papers), Design Education and Practice (1 paper), Facilities and Workplace Management (1 paper), Virtual Reality Applications and Impacts (1 paper) and Manufacturing Process and Optimization (1 paper). The work is most often cited by research in Geology (113 citations), Building and Construction (247 citations), Human-Computer Interaction (75 citations), Management Science and Operations Research (119 citations) and Computer Vision and Pattern Recognition (180 citations). Jad Chalhoub has collaborated with scholars based in United States and Lebanon. Frequent co-authors include Steven K. Ayer, Mounir El Asmar, Hassan Obeid, Samuel T. Ariaratnam and Abdullatif Abdallah. Their work appears in journals such as Journal of Information Technology in Construction, Buildings, Automation in Construction, Multimedia Tools and Applications and Journal of Construction Engineering and 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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