Citations per year, relative to Kenneth S. Lorek Kenneth S. Lorek (= 1×)
peers
Buckner A. Wallingford
Countries citing papers authored by Kenneth S. Lorek
Since
Specialization
Citations
This map shows the geographic impact of Kenneth S. Lorek'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 Kenneth S. Lorek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kenneth S. Lorek more than expected).
Fields of papers citing papers by Kenneth S. Lorek
This network shows the impact of papers produced by Kenneth S. Lorek. 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 Kenneth S. Lorek. The network helps show where Kenneth S. Lorek may publish in the future.
Co-authorship network of co-authors of Kenneth S. Lorek
This figure shows the co-authorship network connecting the top 25 collaborators of Kenneth S. Lorek.
A scholar is included among the top collaborators of Kenneth S. Lorek 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 Kenneth S. Lorek. Kenneth S. Lorek is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Lorek, Kenneth S. & G. Lee Willinger. (2010). The predictive ability of quarterly cash-flow models. 59–81.2 indexed citations
3.
Lorek, Kenneth S. & G. Lee Willinger. (2003). The abnormal earnings valuation model and the earnings forecast conundrum. Management accounting quarterly. 63–68.1 indexed citations
4.
Lorek, Kenneth S. & G. Lee Willinger. (2003). The Earnings Forecasting Conundrum. Management accounting quarterly. 5(1). 63.
Lorek, Kenneth S., Mary S. Stone, & G. Lee Willinger. (1999). The Differential Predictive Ability of Opaque and Transparent Firms' Earnings Numbers. 38(3). 3.4 indexed citations
8.
Lorek, Kenneth S., et al.. (1999). The differential predictive ability of opaque and transparent firms. 38. 3–20.2 indexed citations
Lorek, Kenneth S., et al.. (1995). An Investigation of the feasibility of using statistically-based models as analytical procedures. Advances in Accounting. 13. 87–110.6 indexed citations
Lorek, Kenneth S., et al.. (1992). On the use of time-series models as analytical procedures. Auditing A Journal of Practice & Theory. 66–87.12 indexed citations
13.
Lorek, Kenneth S., et al.. (1992). A comparative analysis of extrapolative and judgmental forecasts. Advances in Accounting. 10. 279–303.2 indexed citations
14.
Lorek, Kenneth S., et al.. (1989). Firm size and the predictive ability of quarterly earnings data. The Accounting Review. 49–68.38 indexed citations
15.
Lorek, Kenneth S., et al.. (1985). Time-series models: how well do they forecast sales?. 18–19.1 indexed citations
16.
Lorek, Kenneth S., et al.. (1984). The relationship between time-series models and the security market's expectation of quarterly earnings. The Accounting Review. 163–176.62 indexed citations
17.
Lorek, Kenneth S., et al.. (1981). "Time-series properties of annual earnings data: The state of the art". 97–113.8 indexed citations
Lorek, Kenneth S.. (1975). An empirical examination of the time series behavior of quarterly earnings. Xerox University Microfilms eBooks.3 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.