Maria Vassalou

3.8k citations
23 papers · 2.5k indexed · 1 hit paper · h-index 16

Maria Vassalou

23 papers receiving 2.4k citations

Hit Papers

Default Risk in Equity Returns1.3k20042026201120184008001.2k

Peers

Maria Vassalou
Comparison fields: 5 of 57
  • Finance 2.2k
  • Accounting 1.3k
  • General Economics, Econometrics and Finance 365
  • Economics and Econometrics 924
  • Strategy and Management 411
Replace Krishna Ramaswamy with:
Krishna Ramaswamy United States
Kuldeep Shastri United States
Sergei Sarkissian Canada
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Bruno Gérard Norway
Richard Priestley Norway
Timothy T. Simin United States
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Citations per field
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Krishna Ramaswamy · 1×
Citations per year

Countries citing papers authored by Maria Vassalou

Since Specialization
Citations

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

Fields of papers citing papers by Maria Vassalou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 9 scholars most cited alongside Maria Vassalou, 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 Maria Vassalou Line = papers co-authored together Maria Vassalou links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202411
2 200696
3 200526
4 200415
5
Default Risk in Equity Returnsbreakdown →
20041331
6 2003351
7 20036
8 200324
9
Corporate Innovation and its Effects on Equity Returns
20034
10 200228
11 2002188
12
News Related to Future GDP Growth as a Risk Factor in Equity Returns
200159
13 200118
14 200131
15 200017
16 200023
17 20002
18 200084
19 20005
20 1999189

About Maria Vassalou

Maria Vassalou is a scholar working on Finance, General Economics, Econometrics and Finance and Accounting, having authored 23 papers that have together received 2.5k indexed citations. Recurring topics across this work include Financial Markets and Investment Strategies (21 papers), Monetary Policy and Economic Impact (7 papers), Credit Risk and Financial Regulations (5 papers), Stochastic processes and financial applications (5 papers), Stock Market Forecasting Methods (4 papers), Corporate Finance and Governance (4 papers), Complex Systems and Time Series Analysis (4 papers) and Economic theories and models (2 papers). The work is most often cited by research in Finance (2.2k citations), Accounting (1.3k citations) and General Economics, Econometrics and Finance (365 citations). Maria Vassalou has collaborated with scholars based in United States, United Kingdom and Norway. Frequent co-authors include Yuhang Xing, Jim Kyung-Soo Liew, Qing Li, Lars Tyge Nielsen, Robert J. Hodrick, Michael J. Cooper, Huseyin Gulen, Issaak Parcharidis and Jing Chen. Their work appears in journals such as The Journal of Finance, Journal of Financial Economics and Journal of Financial and Quantitative Analysis.

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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