Edward J. Lusk

4.9k total citations
145 papers, 3.9k citations indexed

About

Edward J. Lusk is a scholar working on Management Science and Operations Research, Oncology and Economics and Econometrics. According to data from OpenAlex, Edward J. Lusk has authored 145 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Management Science and Operations Research, 19 papers in Oncology and 18 papers in Economics and Econometrics. Recurrent topics in Edward J. Lusk's work include Forecasting Techniques and Applications (16 papers), Palliative Care and End-of-Life Issues (10 papers) and Big Data and Business Intelligence (10 papers). Edward J. Lusk is often cited by papers focused on Forecasting Techniques and Applications (16 papers), Palliative Care and End-of-Life Issues (10 papers) and Big Data and Business Intelligence (10 papers). Edward J. Lusk collaborates with scholars based in United States, Germany and Portugal. Edward J. Lusk's co-authors include Barrie R. Cassileth, Lorraine L. Brown, David S. Miller, Patricia A. Cross, Alan N. Tenaglia, Thomas B. Strouse, William P. Walsh, Isaac Nuamah, Martin L. Bariff and Christopher Jepson and has published in prestigious journals such as New England Journal of Medicine, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Edward J. Lusk

125 papers receiving 3.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Edward J. Lusk United States 32 1.2k 637 584 556 528 145 3.9k
Daniel Costa Australia 37 1.1k 0.9× 630 1.0× 598 1.0× 569 1.0× 665 1.3× 157 3.8k
Nathan F. Dieckmann United States 33 846 0.7× 1.0k 1.6× 993 1.7× 510 0.9× 346 0.7× 126 4.8k
Maurizio Vanelli Italy 16 698 0.6× 527 0.8× 384 0.7× 539 1.0× 229 0.4× 45 5.7k
Gabriella Pravettoni Italy 43 1.1k 0.9× 1.1k 1.6× 671 1.1× 754 1.4× 496 0.9× 317 5.7k
Simon J. Craddock Lee United States 30 667 0.6× 547 0.9× 329 0.6× 661 1.2× 343 0.6× 164 2.9k
Francis Lau Canada 38 460 0.4× 862 1.4× 422 0.7× 1.1k 2.0× 280 0.5× 156 4.6k
Rajesh Balkrishnan United States 39 525 0.4× 1.4k 2.1× 245 0.4× 662 1.2× 550 1.0× 195 6.9k
Erica L. James Australia 32 797 0.7× 1.4k 2.1× 1.3k 2.3× 1.5k 2.7× 556 1.1× 97 4.8k
David C. Mohr United States 33 624 0.5× 1.8k 2.8× 486 0.8× 611 1.1× 338 0.6× 163 4.3k
Trish Groves United Kingdom 19 315 0.3× 813 1.3× 281 0.5× 815 1.5× 339 0.6× 73 5.9k

Countries citing papers authored by Edward J. Lusk

Since Specialization
Citations

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

Fields of papers citing papers by Edward J. Lusk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Edward J. Lusk. 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 Edward J. Lusk. The network helps show where Edward J. Lusk may publish in the future.

Co-authorship network of co-authors of Edward J. Lusk

This figure shows the co-authorship network connecting the top 25 collaborators of Edward J. Lusk. A scholar is included among the top collaborators of Edward J. Lusk 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 Edward J. Lusk. Edward J. Lusk 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
1.
Lusk, Edward J., et al.. (2022). Alignment Vetting of Bloomberg’s ISS: QualityScore [GQS]: Frequency of Provision of ESG & Related Disclosure Scores. International Journal of Economics and Finance. 14(12). 40–40.
2.
Lusk, Edward J., et al.. (2021). Vetting of Bloomberg’s ESG Governance ISS:QualityScore [GQS]. Archives of Business Research. 9(4). 15–42. 3 indexed citations
3.
Lusk, Edward J., et al.. (2018). Empirical Information on the Small Size Effect Bias Relative to the False Positive Rejection Error for Benford Test-Screening. International Journal of Economics and Finance. 10(2). 1–1.
4.
Lusk, Edward J., et al.. (2016). Client risk calibration in PCAOB audits: an analytical procedures panel risk assignment protocol. 3(1). 1–1. 1 indexed citations
5.
Lusk, Edward J., et al.. (2015). Account Screening: Rationalizing The Extendedprocedures Decision in The Audit Context. 5(9). 1–20. 1 indexed citations
6.
Lusk, Edward J., et al.. (2014). The Balanced Scorecard: Suggestions for Rebalancing1. SHILAP Revista de lepidopterología. 8 indexed citations
7.
Lusk, Edward J., et al.. (2010). Market and Financial Performance as Related to Idiosyncratic Risk and the Effect of Outlier Screening in Market Studies. SSRN Electronic Journal. 3 indexed citations
8.
Zanini, Marco Tulio, Edward J. Lusk, & Birgitta Wolff. (2009). Trust within the Organizations of the New Economy: an Empirical Analysis of the Consequences of Institutional Uncertainty. SHILAP Revista de lepidopterología. 1 indexed citations
9.
Lusk, Edward J., et al.. (2008). Towards Reformulation of The Capital Asset Pricing Model (CAPM) Focusing on Idiosyncratic Risk and Roll's Meta-Analysis: Methodological Approach. SSRN Electronic Journal. 2 indexed citations
10.
Lusk, Edward J., et al.. (2006). A Behavioural Finance Explanation of a Gearing-ß Inverse Association Referencing Weill’s Liquidity Result (in English). Czech Journal of Economics and Finance. 56. 168–177.
11.
Lusk, Edward J., et al.. (2005). DSS utilization: A comparative study for major firms in Germany and the USA: An examination of the Implementation Paradox. SHILAP Revista de lepidopterología. 1 indexed citations
12.
Armstrong, J. Scott & Edward J. Lusk. (2005). Commentary on the Makridakis Time Series Competition (M-Competition) Introduction to the Commentary the Accuracy of Alternative Extrapolation Models: Analysis of a Forecasting Competition Through Open Peer Review. SSRN Electronic Journal. 1 indexed citations
13.
Lusk, Edward J., et al.. (2005). Incentive Preferences of Employees in Germany and the United States: An Empirical Investigation. 16(1). 81–98. 2 indexed citations
14.
Noumoff, Joel S., Andrew Menzin, John J. Mikuta, et al.. (1991). The ability to evaluate prognostic variables on frozen section in hysterectomies performed for endometrial carcinoma. Gynecologic Oncology. 42(3). 202–208. 59 indexed citations
15.
Cassileth, Barrie R., et al.. (1986). How well do physicians recognize melanoma and other problem lesions?. Journal of the American Academy of Dermatology. 14(4). 555–560. 166 indexed citations
16.
Lusk, Edward J., et al.. (1986). The Effect of Service Awareness on Survey Response (Research Note). College & Research Libraries. 47(4). 391–394.
17.
Lusk, Edward J., et al.. (1985). Ascertaining the effect of planned organizational change on the work environment. Omega. 13(5). 419–427. 1 indexed citations
18.
Dempsey, Daniel T., et al.. (1984). Total body water and total body potassium in anorexia nervosa. American Journal of Clinical Nutrition. 40(2). 260–269. 21 indexed citations
19.
Lusk, Edward J.. (1982). Priority assignment: A conditioned sets approach. Fuzzy Sets and Systems. 7(1). 43–55. 1 indexed citations
20.
Abdel‐Khalik, A. Rashad & Edward J. Lusk. (1974). Transfer Pricing--A Synthesis.. The Accounting Review. 49(1). 8–23. 49 indexed citations

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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