Robert K. Perrons

1.4k total citations
58 papers, 1.0k citations indexed

About

Robert K. Perrons is a scholar working on Ocean Engineering, Management Science and Operations Research and Strategy and Management. According to data from OpenAlex, Robert K. Perrons has authored 58 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Ocean Engineering, 14 papers in Management Science and Operations Research and 10 papers in Strategy and Management. Recurrent topics in Robert K. Perrons's work include Reservoir Engineering and Simulation Methods (15 papers), Innovation and Knowledge Management (10 papers) and Risk and Safety Analysis (8 papers). Robert K. Perrons is often cited by papers focused on Reservoir Engineering and Simulation Methods (15 papers), Innovation and Knowledge Management (10 papers) and Risk and Safety Analysis (8 papers). Robert K. Perrons collaborates with scholars based in Australia, United Kingdom and United States. Robert K. Perrons's co-authors include Mathew Hughes, Lionel Page, Simon Washington, Zuduo Zheng, Fan Zhou, Jake Whitehead, Parisa Maroufkhani, Kevin C. Desouza, Mohammad Iranmanesh and Ken Platts and has published in prestigious journals such as Environmental Science & Technology, Applied Energy and Research Policy.

In The Last Decade

Robert K. Perrons

54 papers receiving 957 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Robert K. Perrons Australia	17	250	162	152	136	120	58	1.0k
Jihong Chen China	21	227 0.9×	53 0.3×	142 0.9×	77 0.6×	113 0.9×	51	863
Gunnar Prause Estonia	19	319 1.3×	95 0.6×	52 0.3×	255 1.9×	48 0.4×	76	1.3k
Y. İlker Topçu Türkiye	22	308 1.2×	57 0.4×	75 0.5×	153 1.1×	118 1.0×	72	1.6k
Zhuo Sun China	21	253 1.0×	141 0.9×	67 0.4×	56 0.4×	205 1.7×	66	1.3k
Guanqiu Qi South Korea	11	82 0.3×	161 1.0×	79 0.5×	143 1.1×	127 1.1×	17	769
Yu‐Hern Chang Taiwan	18	193 0.8×	108 0.7×	53 0.3×	61 0.4×	308 2.6×	27	1.5k
Stephen Potter United Kingdom	17	123 0.5×	281 1.7×	67 0.4×	107 0.8×	305 2.5×	82	1.4k
Jingxin Dong United Kingdom	21	283 1.1×	125 0.8×	56 0.4×	33 0.2×	205 1.7×	53	1.3k
Bo Yu China	22	297 1.2×	90 0.6×	85 0.6×	233 1.7×	34 0.3×	106	1.6k
Athena Roumboutsos Greece	19	483 1.9×	191 1.2×	114 0.8×	137 1.0×	200 1.7×	47	1.2k

Countries citing papers authored by Robert K. Perrons

Since Specialization

Citations

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

Fields of papers citing papers by Robert K. Perrons

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert K. Perrons. 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 Robert K. Perrons. The network helps show where Robert K. Perrons may publish in the future.

Co-authorship network of co-authors of Robert K. Perrons

This figure shows the co-authorship network connecting the top 25 collaborators of Robert K. Perrons. A scholar is included among the top collaborators of Robert K. Perrons 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 Robert K. Perrons. Robert K. Perrons 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

Perrons, Robert K.. (2023). Who Are the Innovators in the Upstream Oil and Gas Industry? Highlights from the Second SPE Global Innovation Survey. Journal of Petroleum Technology. 75(2). 49–56. 5 indexed citations

Perrons, Robert K.. (2021). How digital technologies can reduce greenhouse gas emissions in the energy sector's legacy assets. The Extractive Industries and Society. 8(4). 101010–101010. 13 indexed citations

Perrons, Robert K., Adam B. Jaffe, & Trinh Le. (2021). Linking scientific research and energy innovation: A comparison of clean and dirty technologies. Energy Research & Social Science. 78. 102122–102122. 7 indexed citations

Zhou, Fan, Zuduo Zheng, Jake Whitehead, et al.. (2020). Examining the impact of car-sharing on private vehicle ownership. Transportation Research Part A Policy and Practice. 138. 322–341. 60 indexed citations

Perrons, Robert K., et al.. (2020). Using digital technologies to deliver scenarios to geographically dispersed stakeholders: Lessons learned from the transportation sector. Futures. 120. 102567–102567. 7 indexed citations

Zhou, Fan, Lionel Page, Robert K. Perrons, Zuduo Zheng, & Simon Washington. (2019). Long-term forecasts for energy commodities price: What the experts think. Energy Economics. 84. 104484–104484. 15 indexed citations

Zhan, Yuanzhu, Kim Hua Tan, & Robert K. Perrons. (2018). A proposed framework for accelerated innovation in data-driven environments. Industrial Management & Data Systems. 118(6). 1266–1286. 6 indexed citations

Perrons, Robert K., Henri Burgers, & Cameron Newton. (2018). Who Are the Innovators in the Upstream Oil & Gas Industry? Insights From the 2017 SPE Global Innovation Survey. SPE Annual Technical Conference and Exhibition. 6 indexed citations

Coffey, Vaughan, et al.. (2017). Exploring risks causing schedule overrun in upstream natural gas projects — A critical review and implications for future research. 730–734. 1 indexed citations

10.

Zhou, Fan, Zuduo Zheng, Jake Whitehead, et al.. (2017). Projected prevalence of car-sharing in four Asian-Pacific countries in 2030: What the experts think. Transportation Research Part C Emerging Technologies. 84. 158–177. 36 indexed citations

11.

Perrons, Robert K., et al.. (2015). Data as an asset: What the oil and gas sector can learn from other industries about “Big Data”. Energy Policy. 81. 117–121. 71 indexed citations

12.

Perrons, Robert K., et al.. (2014). The unfinished revolution : what is missing from the E&P industry’s move to “big data”. 2 indexed citations

13.

Perrons, Robert K.. (2014). How innovation and R&D happen in the upstream oil & gas industry: Insights from a global survey. Journal of Petroleum Science and Engineering. 124. 301–312. 56 indexed citations

14.

Perrons, Robert K., et al.. (2013). Cloud computing in the upstream oil & gas industry: A proposed way forward. Energy Policy. 56. 732–737. 27 indexed citations

15.

Perrons, Robert K.. (2010). Perdido ties together Shell digital oilfield technologies. QUT ePrints (Queensland University of Technology). 8 indexed citations

16.

Perrons, Robert K., et al.. (2010). Business Value from Intelligent Fields. 30 indexed citations

17.

Hughes, Mathew & Robert K. Perrons. (2010). Shaping and re-shaping social capital in buyer–supplier relationships. Journal of Business Research. 64(2). 164–171. 65 indexed citations

18.

Perrons, Robert K. & Ken Platts. (2006). A proposed role for models and simulations in management research. International Journal of Innovation and Learning. 3(3). 245–245. 2 indexed citations

19.

Perrons, Robert K., Matthew Richards, & Ken Platts. (2004). THE EFFECT OF INDUSTRY CLOCKSPEED ON MAKE-BUY DECISIONS IN THE FACE OF RADICAL INNOVATIONS: AN EMPIRICAL TEST. International Journal of Innovation Management. 8(4). 431–454. 4 indexed citations

20.

Perrons, Robert K.. (2004). Intel's flyosaurus [manufacturing innovations]. Manufacturing Engineer. 83(2). 14–15.

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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