Omobolanle Ogunseiju

747 total citations
30 papers, 473 citations indexed

About

Omobolanle Ogunseiju is a scholar working on Radiological and Ultrasound Technology, Building and Construction and Pharmacology. According to data from OpenAlex, Omobolanle Ogunseiju has authored 30 papers receiving a total of 473 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Radiological and Ultrasound Technology, 8 papers in Building and Construction and 7 papers in Pharmacology. Recurrent topics in Omobolanle Ogunseiju's work include Occupational Health and Safety Research (10 papers), BIM and Construction Integration (8 papers) and Musculoskeletal pain and rehabilitation (7 papers). Omobolanle Ogunseiju is often cited by papers focused on Occupational Health and Safety Research (10 papers), BIM and Construction Integration (8 papers) and Musculoskeletal pain and rehabilitation (7 papers). Omobolanle Ogunseiju collaborates with scholars based in United States, Australia and Switzerland. Omobolanle Ogunseiju's co-authors include Abiola Akanmu, Chukwuma Nnaji, Chimay Anumba, Diana Bairaktarova, Farrokh Jazizadeh, Doug A. Bowman, Oluwole Alfred Olatunji, Srikanth Sagar Bangaru, Homero Murzi and Sang Won Lee and has published in prestigious journals such as Automation in Construction, Advanced Engineering Informatics and Journal of Computing in Civil Engineering.

In The Last Decade

Omobolanle Ogunseiju

26 papers receiving 443 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Omobolanle Ogunseiju United States 10 168 156 125 99 73 30 473
Mohsin Siddiqui United States 10 214 1.3× 43 0.3× 71 0.6× 18 0.2× 13 0.2× 32 439
Diego Calvetti Portugal 8 205 1.2× 102 0.7× 70 0.6× 19 0.2× 4 0.1× 32 390
Vincent Havard France 12 85 0.5× 224 1.4× 23 0.2× 35 0.4× 4 0.1× 21 523
Michela Dalle Mura Italy 13 31 0.2× 402 2.6× 14 0.1× 42 0.4× 18 0.2× 19 669
Hai Chien Pham South Korea 12 120 0.7× 42 0.3× 191 1.5× 7 0.1× 5 0.1× 22 481
K. Case United Kingdom 16 36 0.2× 291 1.9× 10 0.1× 84 0.8× 43 0.6× 53 649
Muhammad Khan South Korea 9 106 0.6× 31 0.2× 146 1.2× 12 0.1× 5 0.1× 13 303
John P. Shewchuk United States 13 61 0.4× 167 1.1× 38 0.3× 34 0.3× 27 0.4× 32 447
Wang Peng China 3 105 0.6× 28 0.2× 59 0.5× 17 0.2× 5 0.1× 12 524
Riccardo Minto Italy 8 13 0.1× 355 2.3× 36 0.3× 116 1.2× 6 0.1× 17 701

Countries citing papers authored by Omobolanle Ogunseiju

Since Specialization
Citations

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

Fields of papers citing papers by Omobolanle Ogunseiju

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Omobolanle Ogunseiju

This figure shows the co-authorship network connecting the top 25 collaborators of Omobolanle Ogunseiju. A scholar is included among the top collaborators of Omobolanle Ogunseiju 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 Omobolanle Ogunseiju. Omobolanle Ogunseiju 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.
Ogunseiju, Omobolanle, et al.. (2025). Assessing the ethical, social and psychological risks of active and passive exoskeletons in the construction industry: trust, productivity and stress levels. Smart and Sustainable Built Environment. 14(4). 1091–1116. 2 indexed citations
2.
Ogunseiju, Omobolanle, et al.. (2025). Investigating the Professional Technical Identity Practices in the Implementation of Laser Scanning in the Construction Industry. International Journal of Construction Education and Research. 1–34.
3.
4.
Ogunseiju, Omobolanle, Abiola Akanmu, Diana Bairaktarova, Doug A. Bowman, & Farrokh Jazizadeh. (2024). Cognitive Load within Mixed Reality Learning Environment in Construction Education. 466–475.
5.
6.
Ogunseiju, Omobolanle, et al.. (2024). A Review of Human-Robotics Interactions in the Construction Industry. 903–912. 8 indexed citations
7.
Ogunseiju, Omobolanle, et al.. (2023). Evaluation of concrete workers' interaction with a passive back-support exoskeleton. Engineering Construction & Architectural Management. 31(11). 4585–4601. 15 indexed citations
8.
Ogunseiju, Omobolanle, et al.. (2023). Automated detection of learning stages and interaction difficulty from eye-tracking data within a mixed reality learning environment. Smart and Sustainable Built Environment. 13(6). 1473–1489. 6 indexed citations
9.
Ogunseiju, Omobolanle, et al.. (2023). Sensing technologies in construction engineering education: industry experiences and expectations. Journal of Information Technology in Construction. 28. 482–499. 6 indexed citations
10.
Ogunseiju, Omobolanle, et al.. (2023). Usage of Building Information Modelling in Quantity Surveying Firms in Nigeria. 6(2). 1 indexed citations
11.
Ogunseiju, Omobolanle, et al.. (2023). Detecting Learning Stages within a Sensor-Based Mixed Reality Learning Environment Using Deep Learning. Journal of Computing in Civil Engineering. 37(4). 8 indexed citations
12.
Ogunseiju, Omobolanle, et al.. (2022). Activity recognition from trunk muscle activations for wearable and non-wearable robot conditions. Smart and Sustainable Built Environment. 13(6). 1370–1385. 8 indexed citations
13.
Akanmu, Abiola, et al.. (2022). Data Analytics and Computational Thinking Skills in Construction Engineering and Management Education: A Conceptual System. Construction Research Congress 2022. 204–213. 5 indexed citations
14.
Ogunseiju, Omobolanle, et al.. (2022). Mixed reality environment for learning sensing technology applications in Construction: A usability study. Advanced Engineering Informatics. 53. 101637–101637. 34 indexed citations
15.
Ogunseiju, Omobolanle, et al.. (2021). Recognition of workers’ actions from time-series signal images using deep convolutional neural network. Smart and Sustainable Built Environment. 11(4). 812–831. 13 indexed citations
16.
Akanmu, Abiola, Chimay Anumba, & Omobolanle Ogunseiju. (2021). Towards next generation cyber-physical systems and digital twins for construction. Journal of Information Technology in Construction. 26. 505–525. 106 indexed citations
17.
Ogunseiju, Omobolanle, et al.. (2021). Assessment of a passive wearable robot for reducing low back disorders during rebar work. Journal of Information Technology in Construction. 26. 936–952. 44 indexed citations
18.
Ogunseiju, Omobolanle, Abiola Akanmu, & Diana Bairaktarova. (2021). Sensing Technologies in Construction Engineering and Management Programs: A Comparison of Industry Expectations and Faculty Perceptions. EPiC series in built environment. 2. 505–495. 8 indexed citations
19.
Ogunseiju, Omobolanle, Abiola Akanmu, & Diana Bairaktarova. (2021). Mixed reality based environment for learning sensing technology applications in construction. Journal of Information Technology in Construction. 26. 863–885. 13 indexed citations
20.
Akanmu, Abiola, et al.. (2020). Cyber-physical postural training system for construction workers. Automation in Construction. 117. 103272–103272. 84 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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