William T. Morris

29 papers receiving 770 citations

Peers

William T. Morris
Comparison fields: 5 of 125
  • Management Information Systems 414
  • Strategy and Management 373
  • Management Science and Operations Research 185
  • Organizational Behavior and Human Resource Management 86
  • Management of Technology and Innovation 78
Replace David L. Goetsch with:
David L. Goetsch United States
Armand V. Feigenbaum United States
M. Hossein Safizadeh United States
Robert P. Neuman
Mikel Harry United States
Brian Lehaney United Kingdom
Nicholas J. Aquilano United States
George S. Easton United States
Peter S. Pande
Roland R. Cavanagh
William T. Morris relative to David L. Goetsch United States David L. Goetsch's profile →
Citations per field
00.5×1.5×
David L. Goetsch · 1×
Citations per year

Countries citing papers authored by William T. Morris

Since Specialization
Citations

This map shows the geographic impact of William T. Morris'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 T. Morris with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William T. Morris more than expected).

Fields of papers citing papers by William T. Morris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of William T. Morris

This figure shows the co-authorship network connecting the top 25 collaborators of William T. Morris. A scholar is included among the top collaborators of William T. Morris 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 T. Morris. William T. Morris 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
#WorkIndexed citations
1 7
2 349
3 16
4 8
5 16
6 0
7 1
8 2
9
Management for action: psychotechnical decision making
5
10
Individual difference models in multidimensional scaling : an empirical comparison
1
11 12
12
Management science : a Bayesian introduction
27
13 1
14
The capacity decision system
0
15 12
16
The analysis of management decisions
28
17 1
18
International index : a guide to periodical literature in the social sciences and humanities
1
19 1
20 1

About William T. Morris

William T. Morris is a scholar working on General Decision Sciences, Management Information Systems and Internal Medicine, having authored 35 papers that have together received 884 indexed citations. Recurring topics across this work include Surgical site infection prevention (2 papers), Economic and Environmental Valuation (1 paper) and interferon and immune responses (1 paper). The work is most often cited by research in Management Information Systems (414 citations), Strategy and Management (373 citations) and Management Science and Operations Research (185 citations). William T. Morris has collaborated with scholars based in United States, New Zealand and United Kingdom. Frequent co-authors include Roger G. Schroeder, Sadao Sakakibara, Barbara B. Flynn, Kimberly Bates, John O’Shaughnessy, Martín Shubik, D. Scott Sink, John K. Hemphill, Paul E. Green and Stafford Beer. Their work appears in journals such as Administrative Science Quarterly, Management Science and Experimental Cell Research.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026