Mary Malliaris

538 total citations
43 papers, 369 citations indexed

About

Mary Malliaris is a scholar working on Economics and Econometrics, Finance and General Economics, Econometrics and Finance. According to data from OpenAlex, Mary Malliaris has authored 43 papers receiving a total of 369 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Economics and Econometrics, 13 papers in Finance and 10 papers in General Economics, Econometrics and Finance. Recurrent topics in Mary Malliaris's work include Market Dynamics and Volatility (14 papers), Monetary Policy and Economic Impact (10 papers) and Stock Market Forecasting Methods (7 papers). Mary Malliaris is often cited by papers focused on Market Dynamics and Volatility (14 papers), Monetary Policy and Economic Impact (10 papers) and Stock Market Forecasting Methods (7 papers). Mary Malliaris collaborates with scholars based in United States, Australia and Greece. Mary Malliaris's co-authors include Linda Salchenberger, A. G. Malliaris, Anahita Jalilvand, Ramaprasad Bhar, Nenad Jukić, Svetlozar Nestorov, Arup Varma, Sebastián Morán and Abhishek Sharma and has published in prestigious journals such as Journal of Banking & Finance, Neurocomputing and Journal of the Association for Information Systems.

In The Last Decade

Mary Malliaris

37 papers receiving 333 citations

Peers

Mary Malliaris
Comparison fields: 5 of 61
  • Management Science and Operations Research 172
  • Economics and Econometrics 158
  • Finance 113
  • Electrical and Electronic Engineering 80
  • Artificial Intelligence 52
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Citations per field, relative to Mary Malliaris
Mary Malliaris · 1×
Citations per year, relative to Mary Malliaris
Mary Malliaris · 1×

Countries citing papers authored by Mary Malliaris

Since Specialization
Citations

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

Fields of papers citing papers by Mary Malliaris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mary Malliaris

This figure shows the co-authorship network connecting the top 25 collaborators of Mary Malliaris. A scholar is included among the top collaborators of Mary Malliaris 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 Mary Malliaris. Mary Malliaris is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 1
4 1
5 6
6 2
7 7
8 1
9
Quantitative Easing and the U.S. Stock Market: A Decision Tree Analysis
3
10 5
11 20
12
Management of Hospital Foundations: Does Compensation Matter?
1
13 14
14 2
15 1
16 0
17 24
18 4
19 51
20 7

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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