May H. Lo

573 citations
11 papers · 403 · h-index 6

Impact in

  • Accounting top 2%
    • Auditing, Earnings Management, Governance
    • Corporate Finance and Governance
    • Corporate Taxation and Avoidance
  • Finance top 2%
    • Financial Markets and Investment Strategies

Papers in

    • Financial Markets and Investment Strategies 11
    • Auditing, Earnings Management, Governance 9
    • Corporate Finance and Governance 2

May H. Lo

11 papers receiving 372 citations

Peers

May H. Lo
Comparison fields: 5 of 25
  • Accounting 365
  • Finance 265
  • Strategy and Management 167
  • General Decision Sciences 14
  • Management Science and Operations Research 56
Replace Philip Brown with:
Philip Brown United States
Minsup Song South Korea
Pouran Espahbodi United States
David Veenman Netherlands
John Capstaff United Kingdom
Hassan Espahbodi United States
Ranjini Jha Canada
Amihud Dotan Israel
Murugappa Krishnan United States
George M. McCabe United States
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Citations per field
00.5×10×17×
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Citations per year

Countries citing papers authored by May H. Lo

Since Specialization
Citations

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

Fields of papers citing papers by May H. Lo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by May H. Lo. 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 May H. Lo. The network helps show where May H. Lo may publish in the future.

Co-authors

The 4 scholars most cited alongside May H. Lo, 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 May H. Lo Line = papers co-authored together May H. Lo links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 2001125
2 1994112
3 200356
4 199851
5 200130
6 199519
7 19984
8 20133
9
Alternative Adjustments to Analysts' Earnings Forecasts: Relative and Complementary Performance
19981
10 20081
11 20041

About May H. Lo

May H. Lo is a scholar working on Finance, Accounting, Strategy and Management, General Economics, Econometrics and Finance and Management Science and Operations Research, having authored 11 papers that have together received 403 indexed citations. Recurring topics across this work include Financial Markets and Investment Strategies (11 papers), Auditing, Earnings Management, Governance (9 papers), Financial Reporting and Valuation Research (5 papers), Monetary Policy and Economic Impact (4 papers), Corporate Finance and Governance (2 papers), Housing Market and Economics (1 paper) and Forecasting Techniques and Applications (1 paper). The work is most often cited by research in Accounting (365 citations), Finance (265 citations), Strategy and Management (167 citations), General Decision Sciences (14 citations) and Management Science and Operations Research (56 citations). May H. Lo has collaborated with scholars based in United States. Frequent co-authors include Pieter T. Elgers, Ray J. Pfeiffer, Lynn Rees and Dennis Murray. Their work appears in journals such as The Accounting Review, Journal of Accounting Research, Management Science, Journal of Accounting and Public Policy and Financial Review.

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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