David G. Laughton

576 citations
24 papers · 385 indexed · h-index 10
Topics
Capital Investment and Risk Analysis (18 papers)Reservoir Engineering and Simulation Methods (11 papers)Financial Reporting and Valuation Research (9 papers)

In The Last Decade

David G. Laughton

21 papers receiving 324 citations

Peers

David G. Laughton
Comparison fields: 5 of 48
  • Finance 268
  • Economics and Econometrics 145
  • Ocean Engineering 122
  • Strategy and Management 119
  • Control and Systems Engineering 79
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David G. Laughton relative to Jaime Casassus Chile Jaime Casassus's profile →
Citations per field
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Citations per year

Countries citing papers authored by David G. Laughton

Since Specialization
Citations

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

Fields of papers citing papers by David G. Laughton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David G. Laughton. 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 David G. Laughton. The network helps show where David G. Laughton may publish in the future.

Co-authorship network of co-authors of David G. Laughton

This figure shows the co-authorship network connecting the top 25 collaborators of David G. Laughton. A scholar is included among the top collaborators of David G. Laughton 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 David G. Laughton. David G. Laughton 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
#WorkIndexed citations
1 13
2
Using Stochastic Discounted Cash Flow and Real Option Monte Carlo Simulation to Analyse the Impacts of Contingent Taxes on Mining Projects
17
3 8
4 1
5 3
6 4
7 6
8 8
9 16
10 0
11 18
12 20
13 84
14 42
15
A two-method solution to the investment timing option
9
16
Uncertainty, information and project evaluation
1
17 2
18
Fiscal Risk and the Supply of Petroleum Investment
1
19 2
20 2

About David G. Laughton

David G. Laughton is a scholar working on Finance, Ocean Engineering and Strategy and Management, having authored 24 papers that have together received 385 indexed citations. Recurring topics across this work include Capital Investment and Risk Analysis (18 papers), Reservoir Engineering and Simulation Methods (11 papers) and Financial Reporting and Valuation Research (9 papers). The work is most often cited by research in Finance (268 citations), Strategy and Management (119 citations) and Ocean Engineering (122 citations). David G. Laughton has collaborated with scholars based in Canada, United States and Norway. Frequent co-authors include Henry D. Jacoby, Graham A. Davis, Richard Poulin, Donald R. Lessard, Jacob S. Sagi, Raúl Guerrero, Dominique Ngan‐Tillard, J. F. de Haan, Charles R. Blitzer and Reidar B. Bratvold. Their work appears in journals such as Engineering Geology, Resources Policy and Financial 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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