Elizabeth Sheedy

96 total papers · 730 total citations
43 papers, 470 citations indexed

About

Elizabeth Sheedy is a scholar working on Accounting, Economics and Econometrics and Finance. According to data from OpenAlex, Elizabeth Sheedy has authored 43 papers receiving a total of 470 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Accounting, 18 papers in Economics and Econometrics and 16 papers in Finance. Recurrent topics in Elizabeth Sheedy's work include Risk Management in Financial Firms (15 papers), Insurance and Financial Risk Management (11 papers) and Financial Risk and Volatility Modeling (8 papers). Elizabeth Sheedy is often cited by papers focused on Risk Management in Financial Firms (15 papers), Insurance and Financial Risk Management (11 papers) and Financial Risk and Volatility Modeling (8 papers). Elizabeth Sheedy collaborates with scholars based in Australia, United States and Germany. Elizabeth Sheedy's co-authors include Carol Alexander, Barbara Griffin, Denise M. Jepsen, Patrick Garcia, Jennifer Patricia Barbour, Dominic Canestrari-Soh, Sue Wright, Lurion De Mello, Fan Yu and Yin Liao and has published in prestigious journals such as Journal of Business Ethics, Journal of Banking & Finance and Corporate Governance An International Review.

In The Last Decade

Elizabeth Sheedy

36 papers receiving 416 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Elizabeth Sheedy	217	214	192	64	48	43	470
Parmendra Sharma	266 1.2×	208 1.0×	245 1.3×	63 1.0×	27 0.6×	47	509
Michael C. S. Wong	109 0.5×	225 1.1×	268 1.4×	56 0.9×	131 2.7×	43	528
Anita K. Pennathur	305 1.4×	324 1.5×	206 1.1×	83 1.3×	28 0.6×	24	487
Marijana Ćurak	294 1.4×	145 0.7×	228 1.2×	94 1.5×	25 0.5×	33	511
Philip L. Cooley	309 1.4×	174 0.8×	144 0.8×	117 1.8×	13 0.3×	39	545
Daniel Kipkirong Tarus	274 1.3×	127 0.6×	120 0.6×	97 1.5×	25 0.5×	27	455
Tao Shen	267 1.2×	188 0.9×	129 0.7×	132 2.1×	36 0.8×	30	489
Federica Ielasi	109 0.5×	123 0.6×	192 1.0×	131 2.0×	29 0.6×	35	404
Ali M. Parhizgari	81 0.4×	207 1.0×	249 1.3×	46 0.7×	77 1.6×	42	413
Bala Shanmugam	246 1.1×	106 0.5×	170 0.9×	87 1.4×	39 0.8×	45	542

Countries citing papers authored by Elizabeth Sheedy

Since Specialization

Citations

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

Fields of papers citing papers by Elizabeth Sheedy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elizabeth Sheedy

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

All Works

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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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