Michael H. Veatch

605 citations
26 papers · 433 · h-index 10

Impact in

Papers in

Michael H. Veatch

23 papers receiving 407 citations

Peers

Michael H. Veatch
Comparison fields: 5 of 46
  • Management Information Systems 324
  • Industrial and Manufacturing Engineering 226
  • Management Science and Operations Research 60
  • Software 16
  • Safety, Risk, Reliability and Quality 26
Replace Bryan L. Deuermeyer with:
Bryan L. Deuermeyer United States
G. Feigin United States
Chia‐Shin Chung United States
Roger M. Kerr Australia
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Isa Nakhai Kamal Abadi Iran
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Citations per field
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Citations per year

Countries citing papers authored by Michael H. Veatch

Since Specialization
Citations

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

Fields of papers citing papers by Michael H. Veatch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael H. Veatch. 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 Michael H. Veatch. The network helps show where Michael H. Veatch may publish in the future.

Co-authors

The 12 scholars most cited alongside Michael H. Veatch, 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 Michael H. Veatch Line = papers co-authored together Michael H. Veatch links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996113
2 199498
3 200644
4 199242
5 200920
6 200016
7 198613
8 200310
9 199910
10 200110
11 20128
12 19998
13 20087
14 20156
15 20155
16 20095
17
MONOTONE CONTROL OF QUEUEING AND PRODUCTION/INVENTORY SYSTEMS
19914
18 20183
19 20083
20
Mission Reliability Model Users Guide.
19862

About Michael H. Veatch

Michael H. Veatch is a scholar working on Management Information Systems, Industrial and Manufacturing Engineering, Electrical and Electronic Engineering, Computational Theory and Mathematics and Computer Networks and Communications, having authored 26 papers that have together received 433 indexed citations. Recurring topics across this work include Advanced Queuing Theory Analysis (15 papers), Scheduling and Optimization Algorithms (7 papers), Supply Chain and Inventory Management (5 papers), Reliability and Maintenance Optimization (4 papers), Petri Nets in System Modeling (3 papers), Advanced Wireless Network Optimization (3 papers), Software Reliability and Analysis Research (3 papers) and Smart Grid Energy Management (3 papers). The work is most often cited by research in Management Information Systems (324 citations), Industrial and Manufacturing Engineering (226 citations), Management Science and Operations Research (60 citations), Software (16 citations) and Safety, Risk, Reliability and Quality (26 citations). Michael H. Veatch has collaborated with scholars based in United States and Türkiye. Frequent co-authors include Lawrence M. Wein, Mark Edward Lewis, Cheng‐Hung Wu, Michael C. Caramanis, Stanley B. Gershwin, Barış Tan, Francis de Véricourt, Soroush Saghafian, Jarrod Goentzel and Pitu B. Mirchandani. Their work appears in journals such as IEEE Transactions on Automatic Control, Queueing Systems, Operations Research, Mathematics of Operations Research and Applied Soft Computing.

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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