Thomas E. Morton

5.0k citations
79 papers · 3.5k · h-index 31

Impact in

Papers in

Thomas E. Morton

74 papers receiving 3.3k citations

Peers

Thomas E. Morton
Comparison fields: 5 of 139
  • Industrial and Manufacturing Engineering 1.7k
  • Management Information Systems 1.4k
  • Management Science and Operations Research 582
  • Strategy and Management 426
  • Computer Networks and Communications 477
Replace Richard L. Daniels with:
Richard L. Daniels United States
Massimo Mecella Italy
Grigoris Antoniou Greece
A.J.M.M. Weijters Netherlands
R. Uthayakumar India
Chun Ouyang Australia
Caiming Zhang China
Nada Lavrač Slovenia
Vicente Botti Spain
Ramesh Krishnamurti United States
Thomas E. Morton relative to Richard L. Daniels United States Richard L. Daniels's profile →
Citations per field
00.5×6.2×
Richard L. Daniels · 1×
Citations per year

Countries citing papers authored by Thomas E. Morton

Since Specialization
Citations

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

Fields of papers citing papers by Thomas E. Morton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Thomas E. Morton, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Thomas E. Morton Line = papers co-authored together Thomas E. Morton links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1987438
2 1994274
3 1988251
4 1989214
5 1975150
6 1998126
7 1993119
8 2005110
9 1999108
10 1998105
11 201393
12 199689
13 199381
14 198676
15 196967
16 197161
17 199551
18 198547
19 197346
20 199745

About Thomas E. Morton

Thomas E. Morton is a scholar working on Management Information Systems, Management Science and Operations Research, Industrial and Manufacturing Engineering, Computer Networks and Communications and Molecular Biology, having authored 79 papers that have together received 3.5k indexed citations. Recurring topics across this work include Supply Chain and Inventory Management (23 papers), Scheduling and Optimization Algorithms (17 papers), Optimization and Search Problems (9 papers), Risk and Portfolio Optimization (9 papers), Receptor Mechanisms and Signaling (6 papers), Forecasting Techniques and Applications (6 papers), Assembly Line Balancing Optimization (6 papers) and Pharmacological Receptor Mechanisms and Effects (6 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (1.7k citations), Management Information Systems (1.4k citations), Management Science and Operations Research (582 citations), Strategy and Management (426 citations) and Computer Networks and Communications (477 citations). Thomas E. Morton has collaborated with scholars based in United States, Finland and Canada. Frequent co-authors include Peng Si Ow, A.P.J. Vepsäläinen, Susan A. Slotnick, Ramakrishna Akella, Frank W. Ciarallo, Srinivas Bollapragada, Rolf A. Lundin, David W. Pentico, Richard L. Ehrenkaufer and Robert H. Mach. Their work appears in journals such as Management Science, Operations Research, European Journal of Operational Research, Nuclear Medicine and Biology and Computers & Operations 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.

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