Will J. Armstrong

538 total citations
15 papers, 308 citations indexed

About

Will J. Armstrong is a scholar working on Finance, Accounting and Economics and Econometrics. According to data from OpenAlex, Will J. Armstrong has authored 15 papers receiving a total of 308 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Finance, 9 papers in Accounting and 6 papers in Economics and Econometrics. Recurrent topics in Will J. Armstrong's work include Financial Markets and Investment Strategies (12 papers), Corporate Finance and Governance (6 papers) and Auditing, Earnings Management, Governance (4 papers). Will J. Armstrong is often cited by papers focused on Financial Markets and Investment Strategies (12 papers), Corporate Finance and Governance (6 papers) and Auditing, Earnings Management, Governance (4 papers). Will J. Armstrong collaborates with scholars based in United States, Netherlands and Hungary. Will J. Armstrong's co-authors include Ferhat Akbas, Sorin M. Sorescu, Avanidhar Subrahmanyam, Marno Verbeek, Ralitsa Petkova, Alina Sorescu, Seppo Pynnönen, Joseph J. Noh, Patrick Liu and James W. Kolari and has published in prestigious journals such as Journal of Financial Economics, Management Science and Journal of Financial and Quantitative Analysis.

In The Last Decade

Will J. Armstrong

14 papers receiving 301 citations

Peers

Will J. Armstrong
Gregory W. Eaton United States
Paul Docherty Australia
Gideon Ozik United States
Alok Kumar United States
Shuming Liu United States
Lin Peng United States
Rodney N. Sullivan United States
Winston Wei Dou United States
Brian Roseman United States
Robert W. McLeod United States
Gregory W. Eaton United States
Will J. Armstrong
Citations per year, relative to Will J. Armstrong Will J. Armstrong (= 1×) peers Gregory W. Eaton

Countries citing papers authored by Will J. Armstrong

Since Specialization
Citations

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

Fields of papers citing papers by Will J. Armstrong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Will J. Armstrong. 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 Will J. Armstrong. The network helps show where Will J. Armstrong may publish in the future.

Co-authorship network of co-authors of Will J. Armstrong

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

All Works

15 of 15 papers shown
1.
Armstrong, Will J., et al.. (2023). Synthetic Data for Semantic Image Segmentation of Imagery of Unmanned Spacecraft. 1–7. 3 indexed citations
2.
Mitchell, Eric, Joseph J. Noh, Will J. Armstrong, et al.. (2022). Enhancing Self-Consistency and Performance of Pre-Trained Language Models through Natural Language Inference. 1754–1768. 13 indexed citations
3.
Armstrong, Will J., et al.. (2021). Information shocks, disagreement, and drift. Journal of Financial Economics. 140(3). 916–940. 6 indexed citations
4.
Sorescu, Alina, et al.. (2018). Two centuries of epochal innovation and stock market bubbles (Accepted). 1 indexed citations
5.
Sorescu, Alina, et al.. (2018). Two Centuries of Innovations and Stock Market Bubbles. Marketing Science. 37(4). 507–529. 13 indexed citations
6.
Armstrong, Will J., et al.. (2017). Going for Gold: An Analysis of Morningstar Analyst Ratings. Management Science. 24 indexed citations
7.
Armstrong, Will J., et al.. (2017). Information Shocks and Liquidity Innovations. SSRN Electronic Journal.
8.
Akbas, Ferhat, Will J. Armstrong, Sorin M. Sorescu, & Avanidhar Subrahmanyam. (2016). Capital Market Efficiency and Arbitrage Efficacy. Journal of Financial and Quantitative Analysis. 51(2). 387–413. 30 indexed citations
9.
Akbas, Ferhat, Will J. Armstrong, Sorin M. Sorescu, & Avanidhar Subrahmanyam. (2015). Smart money, dumb money, and capital market anomalies. Journal of Financial Economics. 118(2). 355–382. 151 indexed citations
10.
Akbas, Ferhat, Will J. Armstrong, Sorin M. Sorescu, & Avanidhar Subrahmanyam. (2014). Smart Money, Dumb Money, and Equity Return Anomalies. SSRN Electronic Journal. 19 indexed citations
11.
Armstrong, Will J., et al.. (2014). Going for Gold: An Analysis of Morningstar Analyst Ratings. SSRN Electronic Journal. 15 indexed citations
12.
Akbas, Ferhat, Will J. Armstrong, Sorin M. Sorescu, & Avanidhar Subrahmanyam. (2012). Time Varying Market Efficiency. SSRN Electronic Journal. 4 indexed citations
13.
Petkova, Ralitsa, Ferhat Akbas, & Will J. Armstrong. (2011). The Volatility of Liquidity and Expected Stock Returns. SSRN Electronic Journal. 20 indexed citations
14.
Akbas, Ferhat, Will J. Armstrong, Sorin M. Sorescu, & Avanidhar Subrahmanyam. (2011). Funding Constraints and Market Efficiency. SSRN Electronic Journal. 1 indexed citations
15.
Armstrong, Will J., Johan Knif, James W. Kolari, & Seppo Pynnönen. (2011). Exchange risk and universal returns: A test of international arbitrage pricing theory. Pacific-Basin Finance Journal. 20(1). 24–40. 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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