William E. Spangler

903 total citations
34 papers, 633 citations indexed

About

William E. Spangler is a scholar working on Information Systems, Artificial Intelligence and Management Information Systems. According to data from OpenAlex, William E. Spangler has authored 34 papers receiving a total of 633 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Information Systems, 10 papers in Artificial Intelligence and 8 papers in Management Information Systems. Recurrent topics in William E. Spangler's work include Healthcare Operations and Scheduling Optimization (5 papers), Business Process Modeling and Analysis (5 papers) and Data Mining Algorithms and Applications (4 papers). William E. Spangler is often cited by papers focused on Healthcare Operations and Scheduling Optimization (5 papers), Business Process Modeling and Analysis (5 papers) and Data Mining Algorithms and Applications (4 papers). William E. Spangler collaborates with scholars based in United States, Canada and Bangladesh. William E. Spangler's co-authors include Jerrold H. May, Luís G. Vargas, David P. Strum, Esther Gal‐Or, James F. Fairbank, Scott David Williams, Kathleen S. Hartzel, Allan R. Sampson, James M. Peters and Kathryn A. Marley and has published in prestigious journals such as Management Science, Communications of the ACM and Expert Systems with Applications.

In The Last Decade

William E. Spangler

33 papers receiving 585 citations

Peers

William E. Spangler

EMS

MSOR

SURGE

Elliott N. Weiss United States

Van‐Anh Truong United States

Jongkun Jun South Korea

Seung Chul Kim United States

Kenneth J. Klassen Canada

Ravi S. Behara United States

N. K. Kwak United States

Michele Samorani United States

Itai Gurvich United States

Lawrence W. Robinson United States

Elliott N. Weiss United States

William E. Spangler

268 ×1.0

EMS

285 ×2.0

MSOR

49 ×0.4

SURGE

78 ×0.8

135 ×1.5

Citations per year, relative to William E. Spangler William E. Spangler (= 1×) peers Elliott N. Weiss

Countries citing papers authored by William E. Spangler

Since Specialization

Citations

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

Fields of papers citing papers by William E. Spangler

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of William E. Spangler

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Hartzel, Kathleen S. & William E. Spangler. (2019). A High-Reliability Approach to Risk Management in an IT Project. Journal of Computer Information Systems. 61(2). 130–140. 2 indexed citations

Pike, Jacqueline C., William E. Spangler, Valerie Williams, & Robert Kollar. (2017). Role-Playing and Problem-Based Learning: The Use of Cross-Functional Student Teams in Business Application Development.. Information Systems Education Journal. 15(4). 75–83. 5 indexed citations

Hartzel, Kathleen S., Kathryn A. Marley, & William E. Spangler. (2016). Online Social Network Adoption: A Cross-Cultural Study. Journal of Computer Information Systems. 56(2). 87–96. 19 indexed citations

Hartzel, Kathleen S., et al.. (2014). A Case-Based Approach to Integrating an Information Technology Curriculum. 1 indexed citations

May, Jerrold H., William E. Spangler, David P. Strum, & Luís G. Vargas. (2011). The Surgical Scheduling Problem: Current Research and Future Opportunities. Production and Operations Management. 20(3). 392–405. 182 indexed citations

Wasieleski, David M., et al.. (2010). Facilitating Consumer Acceptance of RFID and Related Ubiquitous Technologies. RePEc: Research Papers in Economics. 1(1). 16–27. 1 indexed citations

Spangler, William E., et al.. (2009). Modeling Complexity in Physically-Distributed Object-Oriented Systems. Journal of Computer Information Systems. 50(1). 74–81. 3 indexed citations

May, Jerrold H., et al.. (2008). CONFLICT IDENTIFICATION AND RECONCILIATION IN A COLLABORATIVE MANUFACTURING SCHEDULING TASK. International Journal of Information Technology & Decision Making. 7(1). 147–174. 7 indexed citations

Spangler, William E., et al.. (2006). Exploring the privacy implications of addressable advertising and viewer profiling. Communications of the ACM. 49(5). 119–123. 14 indexed citations

10.

Spangler, William E., David P. Strum, Luís G. Vargas, & Jerrold H. May. (2004). Estimating Procedure Times for Surgeries by Determining Location Parameters for the Lognormal Model. Health Care Management Science. 7(2). 97–104. 59 indexed citations

11.

Fairbank, James F., William E. Spangler, & Scott David Williams. (2003). Motivating creativity through a computer-mediated employee suggestion management system. Behaviour and Information Technology. 22(5). 305–314. 41 indexed citations

12.

Spangler, William E., Jerrold H. May, David P. Strum, & Luís G. Vargas. (2002). A Data Mining Approach to Characterizing Medical Code Usage Patterns. Journal of Medical Systems. 26(3). 255–275. 8 indexed citations

13.

Pople, Harry E., et al.. (2002). EAGOL: an artificial intelligence system for process monitoring, situation assessment and response planning. 298–304. 3 indexed citations

14.

Spangler, William E., et al.. (2001). Information Technology Deployment and its Impact on Operations in a Large Manufacturing Company. Journal of Computer Information Systems. 41(3). 48–53. 6 indexed citations

15.

Spangler, William E., et al.. (2001). Effectiveness of an Integrated Pre-capstone Project in Learning Information Systems Concepts. Journal of the Association for Information Systems. 12(3). 149–156. 1 indexed citations

16.

Spangler, William E. & James M. Peters. (2001). A model of distributed knowledge and action in complex systems. Decision Support Systems. 31(1). 103–125. 18 indexed citations

17.

Spangler, William E., David P. Strum, Luís G. Vargas, & Jerrold H. May. (2000). A minimal cost analysis model for utilisation and capacity planning in surgical services. International Journal of Healthcare Technology and Management. 2(1/2/3/4). 56–56. 2 indexed citations

18.

Spangler, William E., Jerrold H. May, & Luís G. Vargas. (1999). Choosing Data-Mining Methods for Multiple Classification: Representational and Performance Measurement Implications for Decision Support. Journal of Management Information Systems. 16(1). 37–62. 52 indexed citations

19.

May, Jerrold H., et al.. (1993). A Hybrid System Improves Claims Auditing at Blue Cross. INFORMS Journal on Applied Analytics. 23(6). 67–80. 3 indexed citations

20.

Spangler, William E. & Jerrold H. May. (1992). Success and failure in cooperative expert systems development: A tale of two projects. Journal of Systems and Software. 19(2). 131–140. 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.

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