Lawrence B. Pulley

2.4k total citations
25 papers, 1.5k citations indexed

About

Lawrence B. Pulley is a scholar working on Finance, Economics and Econometrics and Statistics and Probability. According to data from OpenAlex, Lawrence B. Pulley has authored 25 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Finance, 9 papers in Economics and Econometrics and 5 papers in Statistics and Probability. Recurrent topics in Lawrence B. Pulley's work include Banking stability, regulation, efficiency (6 papers), Digital Platforms and Economics (4 papers) and Statistical Distribution Estimation and Applications (4 papers). Lawrence B. Pulley is often cited by papers focused on Banking stability, regulation, efficiency (6 papers), Digital Platforms and Economics (4 papers) and Statistical Distribution Estimation and Applications (4 papers). Lawrence B. Pulley collaborates with scholars based in United States and Finland. Lawrence B. Pulley's co-authors include David B. Humphrey, T. W. Epps, C. Ronald Sprecher, Yale M. Braunstein, Jukka Vesala, Allen N. Berger, Kenneth J. Singleton, Michael P. Murray and Leonard A. Rapping and has published in prestigious journals such as The Journal of Finance, American Economic Review and Biometrika.

In The Last Decade

Lawrence B. Pulley

22 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lawrence B. Pulley United States 13 805 657 439 399 293 25 1.5k
Kenneth D. Garbade United States 22 1.3k 1.6× 1.4k 2.1× 375 0.9× 208 0.5× 140 0.5× 64 2.0k
George C. Philippatos United States 16 807 1.0× 540 0.8× 594 1.4× 363 0.9× 182 0.6× 72 1.3k
Chung-ki Min South Korea 13 140 0.2× 432 0.7× 130 0.3× 219 0.5× 356 1.2× 20 1.1k
Jacob Paroush Israel 21 287 0.4× 911 1.4× 219 0.5× 566 1.4× 83 0.3× 89 1.5k
Arthur J. Keown United States 20 691 0.9× 391 0.6× 1.1k 2.4× 237 0.6× 558 1.9× 64 1.8k
George E. Pinches United States 22 1.1k 1.4× 654 1.0× 1.5k 3.3× 241 0.6× 776 2.6× 48 2.3k
Vijay S. Bawa United States 17 2.1k 2.6× 1.3k 2.0× 527 1.2× 1.1k 2.7× 217 0.7× 28 2.9k
Walter Briec France 24 369 0.5× 1.0k 1.6× 96 0.2× 1.3k 3.2× 165 0.6× 74 1.9k
Blanca Pérez‐Gladish Spain 22 289 0.4× 304 0.5× 126 0.3× 563 1.4× 322 1.1× 59 1.2k
Emilios Galariotis France 26 805 1.0× 965 1.5× 468 1.1× 328 0.8× 181 0.6× 90 1.7k

Countries citing papers authored by Lawrence B. Pulley

Since Specialization
Citations

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

Fields of papers citing papers by Lawrence B. Pulley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lawrence B. Pulley. 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 Lawrence B. Pulley. The network helps show where Lawrence B. Pulley may publish in the future.

Co-authorship network of co-authors of Lawrence B. Pulley

This figure shows the co-authorship network connecting the top 25 collaborators of Lawrence B. Pulley. A scholar is included among the top collaborators of Lawrence B. Pulley 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 Lawrence B. Pulley. Lawrence B. Pulley 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.
Humphrey, David B., Lawrence B. Pulley, & Jukka Vesala. (2000). The Check's in the Mail: Why the United States Lags in the Adoption of Cost-Saving Electronic Payments. Journal of Financial Services Research. 17(1). 17–39. 64 indexed citations
2.
Humphrey, David B. & Lawrence B. Pulley. (1997). Banks' Responses to Deregulation: Profits, Technology, and Efficiency. Journal of money credit and banking. 29(1). 73–73. 284 indexed citations
3.
Humphrey, David B. & Lawrence B. Pulley. (1996). Banks' Responses to Deregulation: Profits, Technology, and Efficiency. SSRN Electronic Journal. 8 indexed citations
4.
Berger, Allen N., David B. Humphrey, & Lawrence B. Pulley. (1996). Do consumers pay for one-stop banking? Evidence from an alternative revenue function. Journal of Banking & Finance. 20(9). 1601–1621. 124 indexed citations
5.
Humphrey, David B., Lawrence B. Pulley, & Jukka Vesala. (1996). Cash, Paper, and Electronic Payments: A Cross-Country Analysis. Journal of money credit and banking. 28(4). 914–914. 140 indexed citations
6.
Pulley, Lawrence B., Allen N. Berger, & David B. Humphrey. (1993). Do consumers pay for one-stop banking? Evidence from a non-standard revenue function. SSRN Electronic Journal. 2 indexed citations
7.
Pulley, Lawrence B. & David B. Humphrey. (1993). The Role of Fixed Costs and Cost Complementarities in Determining Scope Economies and the Cost of Narrow Banking Proposals. The Journal of Business. 66(3). 437–437. 122 indexed citations
8.
Pulley, Lawrence B. & David B. Humphrey. (1991). Scope Economies: Fixed Costs, Complementarity, and Functional Form. SSRN Electronic Journal. 12 indexed citations
9.
Pulley, Lawrence B. & T. W. Epps. (1990). Implementing the growth-optimal policy for choosing portfolios. Journal of Economics and Business. 42(2). 153–164. 1 indexed citations
10.
Rapping, Leonard A. & Lawrence B. Pulley. (1985). Speculation, Deregulation, and the Interest Rates. American Economic Review. 75(2). 108–113. 1 indexed citations
11.
Pulley, Lawrence B.. (1985). Mean‐Variance Versus Direct Utility Maximization: A Comment. The Journal of Finance. 40(2). 601–602. 9 indexed citations
12.
Pulley, Lawrence B.. (1985). Mean-Variance Versus Direct Utility Maximization: A Comment. The Journal of Finance. 40(2). 601–601. 2 indexed citations
13.
Pulley, Lawrence B., et al.. (1984). Computer Simulation Exercises for Economics Statistics. The Journal of Economic Education. 15(1). 77–77. 1 indexed citations
14.
Epps, T. W. & Lawrence B. Pulley. (1983). A Test for Normality Based on the Empirical Characteristic Function. Biometrika. 70(3). 723–723. 9 indexed citations
15.
Pulley, Lawrence B.. (1983). Mean-Variance Approximations to Expected Logarithmic Utility. Operations Research. 31(4). 685–696. 59 indexed citations
16.
Epps, T. W. & Lawrence B. Pulley. (1983). A test for normality based on the empirical characteristic function. Biometrika. 70(3). 723–726. 154 indexed citations
17.
Epps, T. W., Kenneth J. Singleton, & Lawrence B. Pulley. (1982). A Test of Separate Families of Distributions Based on the Empirical Moment Generating Function. Biometrika. 69(2). 391–391.
18.
Pulley, Lawrence B.. (1981). A General Mean-Variance Approximation to Expected Utility for Short Holding Periods. Journal of Financial and Quantitative Analysis. 16(3). 361–361. 97 indexed citations
19.
Pulley, Lawrence B. & C. Ronald Sprecher. (1978). Essentials of Investments.. The Journal of Finance. 33(5). 1465–1465. 194 indexed citations
20.
Murray, Michael P., et al.. (1978). The Demand for Electricity in Virginia. The Review of Economics and Statistics. 60(4). 585–585. 29 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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