Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Cross-Sectional Determinants of Analyst Ratings of Corporate Disclosures
19932.2k citationsMark H. Lang, Russell J. LundholmJournal of Accounting Researchprofile →
Corporate Disclosure Policy and Analyst Behavior.
19962.1k citationsMark H. Lang, Russell J. LundholmThe Accounting Reviewprofile →
International Accounting Standards and Accounting Quality
20082.1k citationsMary E. Barth, Wayne R. Landsman et al.Journal of Accounting Researchprofile →
ADRs, Analysts, and Accuracy: Does Cross Listing in the United States Improve a Firm's Information Environment and Increase Market Value?
2003889 citationsMark H. Lang, Karl V. Lins et al.Journal of Accounting Researchprofile →
Voluntary Disclosure and Equity Offerings: Reducing Information Asymmetry or Hyping the Stock?*
2000739 citationsMark H. Lang, Russell J. Lundholmprofile →
This map shows the geographic impact of Mark H. Lang'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 Mark H. Lang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark H. Lang more than expected).
This network shows the impact of papers produced by Mark H. Lang. 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 Mark H. Lang. The network helps show where Mark H. Lang may publish in the future.
Co-authorship network of co-authors of Mark H. Lang
This figure shows the co-authorship network connecting the top 25 collaborators of Mark H. Lang.
A scholar is included among the top collaborators of Mark H. Lang 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 Mark H. Lang. Mark H. Lang is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Dyer, Travis, Mark H. Lang, & Lorien Stice‐Lawrence. (2017). The evolution of 10-K textual disclosure: Evidence from Latent Dirichlet Allocation. Journal of Accounting and Economics. 64(2-3). 221–245.520 indexed citations breakdown →
7.
Dyer, Travis, Mark H. Lang, & Lorien Stice‐Lawrence. (2016). Do Managers Really Guide Through the Fog? On the Challenges in Assessing the Causes of Voluntary Disclosure. SSRN Electronic Journal.1 indexed citations
Barth, Mary E., Wayne R. Landsman, & Mark H. Lang. (2008). International Accounting Standards and Accounting Quality. Journal of Accounting Research. 46(3). 467–498.2075 indexed citations breakdown →
12.
Lang, Mark H.. (2005). "TAXES COVERED" - WHAT IS A "TAX" ACCORDING TO ARTICLE 2 OF THE OECD MODEL?. 59(6). 216–224.1 indexed citations
Lang, Mark H. & Russell J. Lundholm. (1998). The Relation Between Security Returns, Firm Earnings and Industry Earnings. SSRN Electronic Journal.6 indexed citations
16.
Huddart, Steven J. & Mark H. Lang. (1998). Employee Stock Option Exercises: An Empirical Analysis. SSRN Electronic Journal.52 indexed citations
Lang, Mark H. & Maureen F. McNichols. (1997). Institutional Trading and Corporate Earnings and Returns. SSRN Electronic Journal.13 indexed citations
19.
Lang, Mark H. & Russell J. Lundholm. (1997). Voluntary Disclosure During Equity Offerings: Reducing Information Asymmetry or Hyping the Stock?. SSRN Electronic Journal.58 indexed citations
20.
Lang, Mark H. & Russell J. Lundholm. (1996). Corporate Disclosure Policy and Analyst Behavior.. The Accounting Review. 71(4). 467–492.2128 indexed citations breakdown →
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.