Omar Doukari

627 total citations
27 papers, 259 citations indexed

About

Omar Doukari is a scholar working on Building and Construction, Civil and Structural Engineering and Geology. According to data from OpenAlex, Omar Doukari has authored 27 papers receiving a total of 259 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Building and Construction, 7 papers in Civil and Structural Engineering and 5 papers in Geology. Recurrent topics in Omar Doukari's work include BIM and Construction Integration (19 papers), 3D Modeling in Geospatial Applications (6 papers) and Infrastructure Maintenance and Monitoring (6 papers). Omar Doukari is often cited by papers focused on BIM and Construction Integration (19 papers), 3D Modeling in Geospatial Applications (6 papers) and Infrastructure Maintenance and Monitoring (6 papers). Omar Doukari collaborates with scholars based in United Kingdom, France and Italy. Omar Doukari's co-authors include David Greenwood, Mohamad Kassem, Reda Yaagoubi, Imane Sebari, Rahim Aguejdad, Haibo Feng, Thomas Houet, Keith Clarke, Pablo Martı́nez and James A. Wakefield and has published in prestigious journals such as Sustainability, Automation in Construction and Journal of Building Engineering.

In The Last Decade

Omar Doukari

25 papers receiving 253 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Omar Doukari United Kingdom 10 183 66 65 38 38 27 259
Sun-Wei Li China 8 193 1.1× 91 1.4× 75 1.2× 45 1.2× 33 0.9× 11 357
Pedram Ghannad United States 10 166 0.9× 47 0.7× 103 1.6× 55 1.4× 55 1.4× 22 335
Xin Janet Ge Australia 6 209 1.1× 97 1.5× 63 1.0× 50 1.3× 56 1.5× 12 349
Yisha Pan China 5 216 1.2× 87 1.3× 48 0.7× 23 0.6× 31 0.8× 11 303
Daniela Pasini Italy 9 208 1.1× 73 1.1× 45 0.7× 29 0.8× 43 1.1× 17 275
Christiana Panteli Cyprus 7 244 1.3× 42 0.6× 30 0.5× 30 0.8× 42 1.1× 9 351
Ziwen Liu Singapore 10 245 1.3× 69 1.0× 65 1.0× 36 0.9× 89 2.3× 15 335
Mohammad Mayouf United Kingdom 9 185 1.0× 46 0.7× 88 1.4× 17 0.4× 120 3.2× 27 280
Raquel Matos Portugal 9 171 0.9× 90 1.4× 76 1.2× 21 0.6× 38 1.0× 14 273
Fangyu Guo China 9 182 1.0× 30 0.5× 35 0.5× 70 1.8× 82 2.2× 19 269

Countries citing papers authored by Omar Doukari

Since Specialization
Citations

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

Fields of papers citing papers by Omar Doukari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Omar Doukari

This figure shows the co-authorship network connecting the top 25 collaborators of Omar Doukari. A scholar is included among the top collaborators of Omar Doukari 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 Omar Doukari. Omar Doukari 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.
Doukari, Omar, et al.. (2025). Optimising deep learning for smart building energy prediction: A particle swarm approach with real-world validation. Journal of Building Engineering. 116. 114652–114652.
2.
Doukari, Omar, Mohamad Kassem, & David Greenwood. (2024). A distributed collaborative platform for multi-stakeholder multi-level management of renovation projects. Journal of Information Technology in Construction. 29. 219–246. 2 indexed citations
3.
Doukari, Omar, et al.. (2024). 3D object recognition using deep learning for automatically generating semantic BIM data. Automation in Construction. 162. 105366–105366. 11 indexed citations
4.
5.
Doukari, Omar, James A. Wakefield, Pablo Martı́nez, & Mohamad Kassem. (2024). An ontology-based tool for safety management in building renovation projects. Journal of Building Engineering. 84. 108609–108609. 11 indexed citations
6.
Doukari, Omar, et al.. (2023). A BIM-based Techno-Economic Framework and Tool for Evaluating and Comparing Building Renovation Strategies. Journal of Information Technology in Construction. 28. 246–265. 6 indexed citations
7.
Wakefield, James A., Omar Doukari, Pablo Martı́nez, & Mohamad Kassem. (2023). Towards a digitally enabled personalised construction safety training framework for O&M construction projects. Computing in construction. 1 indexed citations
8.
Iliadis, Petros, et al.. (2023). The RINNO solution: a holistic assessment framework for supporting building renovation projects. Computing in construction. 1 indexed citations
9.
Doukari, Omar, et al.. (2023). A BIM based tool for evaluating building renovation strategies: the case of three demonstration sites in different European countries. Construction Innovation. 24(1). 365–383. 6 indexed citations
10.
Doukari, Omar, et al.. (2022). The Creation of Construction Schedules in 4D BIM: A Comparison of Conventional and Automated Approaches. Buildings. 12(8). 1145–1145. 37 indexed citations
11.
Feng, Haibo, Mohamad Kassem, David Greenwood, & Omar Doukari. (2022). Whole building life cycle assessment at the design stage: a BIM-based framework using environmental product declaration. International Journal of Building Pathology and Adaptation. 41(1). 109–142. 23 indexed citations
12.
Lynn, Theo, Pierangelo Rosati, Stelios Krinidis, et al.. (2021). RINNO: Towards an Open Renovation Platform for Integrated Design and Delivery of Deep Renovation Projects. Sustainability. 13(11). 6018–6018. 9 indexed citations
13.
Sebari, Imane, et al.. (2021). IFCInfra4OM: An Ontology to Integrate Operation and Maintenance Information in Highway Information Modelling. ISPRS International Journal of Geo-Information. 10(5). 305–305. 19 indexed citations
14.
Yaagoubi, Reda, et al.. (2021). Extending the IFC Standard to Enable Road Operation and Maintenance Management through OpenBIM. ISPRS International Journal of Geo-Information. 10(8). 496–496. 31 indexed citations
15.
Doukari, Omar, et al.. (2021). Automating equipment productivity measurement using deep learning. Computing in construction. 2. 140–147. 2 indexed citations
16.
Doukari, Omar, et al.. (2017). Merging IFC-Based BIM Models: A New Paradigm and Co-Design Support Tool. RePEc: Research Papers in Economics. 6(1). 51–64. 2 indexed citations
17.
18.
Aguejdad, Rahim, Omar Doukari, Thomas Houet, Paolo Avner, & Vincent Viguié. (2016). Etalement urbain et géoprospective : apports et limites des modèles de spatialisation. Cybergeo. 7 indexed citations
19.
Doukari, Omar, Rahim Aguejdad, & Thomas Houet. (2016). SLEUTH* : un modèle d’expansion urbaine scénario-dépendant. Revue internationale de géomatique. 26(1). 7–32. 2 indexed citations
20.
Doukari, Omar & Robert Jeansoulin. (2012). A Logic-based Model for uncertainty reduction: parallel processing. ScholarsArchive (Brigham Young University). 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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