William L. Shanklin

518 total citations
39 papers, 363 citations indexed

About

William L. Shanklin is a scholar working on Management Science and Operations Research, Management of Technology and Innovation and Economics and Econometrics. According to data from OpenAlex, William L. Shanklin has authored 39 papers receiving a total of 363 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Management Science and Operations Research, 3 papers in Management of Technology and Innovation and 3 papers in Economics and Econometrics. Recurrent topics in William L. Shanklin's work include Innovation Diffusion and Forecasting (4 papers), Complex Systems and Decision Making (3 papers) and Management and Marketing Education (2 papers). William L. Shanklin is often cited by papers focused on Innovation Diffusion and Forecasting (4 papers), Complex Systems and Decision Making (3 papers) and Management and Marketing Education (2 papers). William L. Shanklin collaborates with scholars based in United States, Austria and Russia. William L. Shanklin's co-authors include John K. Ryans, James A. Narus, William H. Davidow, David A. Griffith, John R. Darling and Charles E. Lewis and has published in prestigious journals such as Journal of Marketing, Journal of Business Research and Journal of the Academy of Marketing Science.

In The Last Decade

William L. Shanklin

36 papers receiving 278 citations

Peers

William L. Shanklin
Comparison fields: 5 of 64
  • Strategy and Management 144
  • Marketing 120
  • Sociology and Political Science 78
  • Organizational Behavior and Human Resource Management 78
  • Management of Technology and Innovation 53
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Citations per field, relative to William L. Shanklin
William L. Shanklin · 1×
Citations per year, relative to William L. Shanklin
William L. Shanklin · 1×

Countries citing papers authored by William L. Shanklin

Since Specialization
Citations

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

Fields of papers citing papers by William L. Shanklin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William L. Shanklin. 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 William L. Shanklin. The network helps show where William L. Shanklin may publish in the future.

Co-authorship network of co-authors of William L. Shanklin

This figure shows the co-authorship network connecting the top 25 collaborators of William L. Shanklin. A scholar is included among the top collaborators of William L. Shanklin 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 William L. Shanklin. William L. Shanklin 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 3
2 3
3 14
4 8
5 11
6 5
7 8
8
Supply-Side Marketing Can Restore "Yankee Ingenuity" : Research Management
1
9
Organizing for High-tech Marketing : Harvard Business Review
6
10 22
11 1
12 1
13 51
14 4
15 2
16 13
17 16
18 10
19 2
20
A marketing study of an underutilized social resource : the Educational Resources Information Center
1

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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