Mihail Velikov

1.2k citations
18 papers · 642 indexed · 1 hit paper · h-index 10

Mihail Velikov

14 papers receiving 610 citations

Hit Papers

A Taxonomy of Anomalies and Their Trading Costs4112015202620182022100200300400

Peers

Mihail Velikov
Comparison fields: 5 of 31
  • Finance 598
  • Accounting 232
  • Management Science and Operations Research 172
  • Economics and Econometrics 381
  • General Economics, Econometrics and Finance 60
Replace Sophie Xiaoyan Ni with:
Sophie Xiaoyan Ni Hong Kong
Jason Hsu United States
Vitali Kalesnik United States
K. Özgür Demirtaş Türkiye
Brendan Bradley United States
Qing Tong United States
Guillermo Llorente Spain
Dmitriy Muravyev United States
Tongshu Ma United States
Sinan Tan United States
Mihail Velikov relative to Sophie Xiaoyan Ni Hong Kong Sophie Xiaoyan Ni's profile →
Citations per field
00.5×3.9×
Sophie Xiaoyan Ni · 1×
Citations per year

Countries citing papers authored by Mihail Velikov

Since Specialization
Citations

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

Fields of papers citing papers by Mihail Velikov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 7 scholars most cited alongside Mihail Velikov, 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 Mihail Velikov Line = papers co-authored together Mihail Velikov links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 20251
2 20240
3 20240
4 20230
5 202332
6 20230
7 202237
8 202144
9 20219
10 202010
11 201918
12 201927
13 20182
14 201827
15 201721
16 20161
17 20152
18
A Taxonomy of Anomalies and Their Trading Costsbreakdown →
2015411

About Mihail Velikov

Mihail Velikov is a scholar working on Finance, General Decision Sciences and Accounting, having authored 18 papers that have together received 642 indexed citations. Recurring topics across this work include Financial Markets and Investment Strategies (13 papers), Stock Market Forecasting Methods (5 papers), Auditing, Earnings Management, Governance (5 papers), Financial Reporting and Valuation Research (3 papers), Market Dynamics and Volatility (3 papers), Housing Market and Economics (3 papers), Corporate Finance and Governance (3 papers) and Decision-Making and Behavioral Economics (2 papers). The work is most often cited by research in Finance (598 citations), Accounting (232 citations) and Management Science and Operations Research (172 citations). Mihail Velikov has collaborated with scholars based in United States and Germany. Frequent co-authors include Robert Novy‐Marx, Andrew Y. Chen, Hongtao Li, Andrew L. Detzel, Ali K. Ozdagli, Joseph Weber and Michael Dambra. Their work appears in journals such as Journal of Financial Economics, Management Science, Financial Analysts Journal, Journal of Financial and Quantitative Analysis and The Journal of Finance.

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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