Stephen P. Mulva

496 total citations
28 papers, 370 citations indexed

About

Stephen P. Mulva is a scholar working on Management Science and Operations Research, Building and Construction and Strategy and Management. According to data from OpenAlex, Stephen P. Mulva has authored 28 papers receiving a total of 370 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Management Science and Operations Research, 13 papers in Building and Construction and 6 papers in Strategy and Management. Recurrent topics in Stephen P. Mulva's work include Construction Project Management and Performance (19 papers), BIM and Construction Integration (13 papers) and Occupational Health and Safety Research (6 papers). Stephen P. Mulva is often cited by papers focused on Construction Project Management and Performance (19 papers), BIM and Construction Integration (13 papers) and Occupational Health and Safety Research (6 papers). Stephen P. Mulva collaborates with scholars based in United States, Singapore and South Korea. Stephen P. Mulva's co-authors include Sungmin Yun, Jiukun Dai, Youngcheol Kang, William J. O’Brien, Daniel P. de Oliveira, Carlos Caldas, Stephen R. Thomas, Fernanda Leite, Pin‐Chao Liao and Carlos H. Caldas and has published in prestigious journals such as Automation in Construction, International Journal of Project Management and Journal of Construction Engineering and Management.

In The Last Decade

Stephen P. Mulva

26 papers receiving 355 citations

Peers

Stephen P. Mulva

MSOR

MIS

RUT

Mladen Radujković Croatia

Kassim Gidado United Kingdom

Sungmin Yun South Korea

Mohamad Abdul Nabi United States

Jesper Kranker Larsen Denmark

Andi Andi Indonesia

Ehsan Saghatforoush South Africa

Zedan Hatush United Kingdom

Jake Smithwick United States

Mohamed-Asem Abdul-Malak Lebanon

Mladen Radujković Croatia

Stephen P. Mulva

338 ×1.2

MSOR

231 ×1.1

146 ×1.8

94 ×1.4

MIS

69 ×1.2

RUT

Citations per year, relative to Stephen P. Mulva Stephen P. Mulva (= 1×) peers Mladen Radujković

Countries citing papers authored by Stephen P. Mulva

Since Specialization

Citations

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

Fields of papers citing papers by Stephen P. Mulva

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen P. Mulva. 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 Stephen P. Mulva. The network helps show where Stephen P. Mulva may publish in the future.

Co-authorship network of co-authors of Stephen P. Mulva

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen P. Mulva. A scholar is included among the top collaborators of Stephen P. Mulva 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 Stephen P. Mulva. Stephen P. Mulva is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Mulva, Stephen P., et al.. (2020). Building Information Modeling: A New Frontier For Construction Engineering Education. Papers on Engineering Education Repository (American Society for Engineering Education). 12.333.1–12.333.10.

Mulva, Stephen P.. (2020). Modeling And Simulation: A New Frontier For Project Controls Education. 11.935.1–11.935.11. 1 indexed citations

Caldas, Carlos, et al.. (2019). Identification and Prioritization of Factors Affecting the Overall Project Cost of Healthcare Facilities. Journal of Construction Engineering and Management. 146(2). 11 indexed citations

Hwang, Bon‐Gang, et al.. (2018). Improving labour productivity in process construction maintenance and shutdown/turnaround projects. International Journal of Construction Management. 20(7). 822–836. 12 indexed citations

Hwang, Bon‐Gang, et al.. (2018). Enhancing Labour Productivity in Petrochemical Construction and Maintenance Projects. Annual Conference of the International Group for Lean Construction. 829–839. 6 indexed citations

Mulva, Stephen P.. (2017). JCEM and CII: Advancing Civilization. Journal of Construction Engineering and Management. 143(12). 1 indexed citations

Suk, Sung Joon, et al.. (2016). Quantifying combination effects of project management practices on cost performance. KSCE Journal of Civil Engineering. 21(3). 603–615. 11 indexed citations

Yun, Sungmin, et al.. (2016). Development of performance metrics for phase-based capital project benchmarking. International Journal of Project Management. 34(3). 389–402. 55 indexed citations

Yun, Sungmin, et al.. (2016). Measuring project management inputs throughout capital project delivery. International Journal of Project Management. 34(7). 1167–1182. 37 indexed citations

10.

Yun, Sungmin, et al.. (2015). A multi-perspective assessment method for measuring leading indicatiors in capital project benchmarking. Open Collections. 2 indexed citations

11.

Kang, Youngcheol, et al.. (2014). The 10-10 Performance Assessment Campaign: New Theories Regarding the Benchmarking of Capital Project Performance. 2335–2344. 6 indexed citations

12.

Kang, Youngcheol, et al.. (2014). The 10-10 Performance Assessment Campaign: New Theories Regarding the Benchmarking of Capital Project Performance. Construction Research Congress 2014. 2335–2344. 4 indexed citations

13.

Kang, Youngcheol, William J. O’Brien, & Stephen P. Mulva. (2013). Value of IT: Indirect impact of IT on construction project performance via Best Practices. Automation in Construction. 35. 383–396. 26 indexed citations

14.

Dai, Jiukun, et al.. (2012). Corporate Safety Performance Benchmarking in Construction. Construction Research Congress 2012. 1430–1439. 2 indexed citations

15.

Yun, Sungmin, Sung Joon Suk, Jiukun Dai, & Stephen P. Mulva. (2012). Quantification of Front End Planning Input Parameters in Capital Projects. Construction Research Congress 2012. 2499–2509. 6 indexed citations

16.

Chi, Seokho, et al.. (2012). Development of a data mining-based analysis framework for multi-attribute construction project information. Advanced Engineering Informatics. 26(3). 574–581.

17.

Yun, Sungmin, Stephen P. Mulva, & William J. O’Brien. (2012). A Quantitative Approach for Measuring Managerial Interfaces in the Development of a Capital Project. Construction Research Congress 2012. 14. 1410–1419. 10 indexed citations

18.

Liao, Pin‐Chao, Stephen R. Thomas, William J. O’Brien, et al.. (2012). BENCHMARKING PROJECT LEVEL ENGINEERING PRODUCTIVITY / INŽINERINĖS VEIKLOS NAŠUMO LYGINIMAS PROJEKTŲ LYGMENIU. Journal of Civil Engineering and Management. 18(2). 235–244. 13 indexed citations

19.

Thomas, Stephen R., et al.. (2012). Assessing key factors impacting the performance and productivity of oil and gas projects in Alberta. Canadian Journal of Civil Engineering. 39(3). 259–270. 30 indexed citations

20.

Mulva, Stephen P. & Jiukun Dai. (2009). Healthcare Facility Benchmarking. HERD Health Environments Research & Design Journal. 3(1). 28–37. 8 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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