Clifford S. Asness

7.0k citations
68 papers · 4.6k indexed · 2 hit papers · h-index 27

Clifford S. Asness

61 papers receiving 4.1k citations

Hit Papers

Quality minus junk30620132026201720214008001.2k

Peers

Clifford S. Asness
Comparison fields: 5 of 84
  • Finance 4.2k
  • Accounting 1.8k
  • Economics and Econometrics 2.5k
  • General Economics, Econometrics and Finance 629
  • Management Science and Operations Research 849
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Countries citing papers authored by Clifford S. Asness

Since Specialization
Citations

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

Fields of papers citing papers by Clifford S. Asness

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Clifford S. Asness. 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 Clifford S. Asness. The network helps show where Clifford S. Asness may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Clifford S. Asness, 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 Clifford S. Asness Line = papers co-authored together Clifford S. Asness links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201813
2 20174
3 201512
4 20148
5 201468
6
Value and Momentum Everywherebreakdown →
20131464
7 20139
8 2013100
9 201244
10
Momentum in Japan: The Exception that Proves the Rule
20115
11 200966
12
Perspectives: Stock Options and the Lying Liars Who Don't Want to Expense Them
20041
13 20044
14
Surprise! Higher Dividends = Higher Earnings Growth
20038
15 200218
16 2001326
17
The Interaction of Value and Momentum Strategies
199822
18
Parallels between the Cross-Sectional Predictability of Stock and Country Returns
199621
19 199553
20
Variables that explain stock returns : simulated and empirical evidence
199427

About Clifford S. Asness

Clifford S. Asness is a scholar working on Finance, Accounting and Economics and Econometrics, having authored 68 papers that have together received 4.6k indexed citations. Recurring topics across this work include Financial Markets and Investment Strategies (46 papers), Corporate Finance and Governance (16 papers), Financial Reporting and Valuation Research (11 papers), Auditing, Earnings Management, Governance (11 papers), Market Dynamics and Volatility (10 papers), Housing Market and Economics (9 papers), Stock Market Forecasting Methods (6 papers) and Monetary Policy and Economic Impact (5 papers). The work is most often cited by research in Finance (4.2k citations), Accounting (1.8k citations) and Economics and Econometrics (2.5k citations). Clifford S. Asness has collaborated with scholars based in United States, United Kingdom and Denmark. Frequent co-authors include Lasse Heje Pedersen, Tobias J. Moskowitz, Andrea Frazzini, John M. Liew, Ross L. Stevens, Robert D. Arnott, Ronen Israel, R. Burt Porter, Scott A. Richardson and Niels Joachim Gormsen. Their work appears in journals such as The Journal of Finance, Journal of Financial Economics and Financial Analysts 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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