David Weeks

460 citations
8 papers · 325 · h-index 4

Impact in

  • Finance top 5%
    • Stochastic processes and financial applications
    • Capital Investment and Risk Analysis
    • Financial Markets and Investment Strategies
  • Accounting top 5%
    • Corporate Finance and Governance

Papers in

    • Capital Investment and Risk Analysis 5
    • Stochastic processes and financial applications 3
    • Financial Markets and Investment Strategies 2
    • Credit Risk and Financial Regulations 1
    • Financial Risk and Volatility Modeling 1
    • Corporate Finance and Governance 4

David Weeks

7 papers receiving 282 citations

Peers

David Weeks
Comparison fields: 5 of 46
  • Finance 127
  • Accounting 124
  • Strategy and Management 151
  • Organizational Behavior and Human Resource Management 31
  • Management Science and Operations Research 35
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Mona A. ElBannan Egypt
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Citations per field
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Citations per year

Countries citing papers authored by David Weeks

Since Specialization
Citations

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

Fields of papers citing papers by David Weeks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 6 scholars most cited alongside David Weeks, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with David Weeks Line = papers co-authored together David Weeks links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 1987169
2 199767
3 198749
4
Simulation and the Early Exercise Option Problem
199734
5
Measuring the Financial Impact of Strategic Interaction: The Case of Instant Photography
19853
6 20042
7
Teaching Option Valuation: From Simple Discrete Distributions to Black/Scholes Via Monte Carlo Simulation
20001
8 19930

About David Weeks

David Weeks is a scholar working on Finance, Accounting, Strategy and Management, General Economics, Econometrics and Finance and Economics and Econometrics, having authored 8 papers that have together received 325 indexed citations. Recurring topics across this work include Capital Investment and Risk Analysis (5 papers), Corporate Finance and Governance (4 papers), Stochastic processes and financial applications (3 papers), Financial Markets and Investment Strategies (2 papers), Financial Reporting and Valuation Research (2 papers), Monetary Policy and Economic Impact (1 paper), Credit Risk and Financial Regulations (1 paper) and Financial Risk and Volatility Modeling (1 paper). The work is most often cited by research in Finance (127 citations), Accounting (124 citations), Strategy and Management (151 citations), Organizational Behavior and Human Resource Management (31 citations) and Management Science and Operations Research (35 citations). David Weeks has collaborated with scholars based in United States. Frequent co-authors include Roger A. Kerin, Nikhil P. Varaiya, Gautam Vora, Dwight Grant, Richard A. Bettis and Suleiman K. Kassicieh. Their work appears in journals such as Strategic Management Journal, Annals of Operations Research, Management Science, Journal of Business Finance & Accounting and SSRN Electronic Journal.

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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