A.H. Levis

2.2k citations
68 papers · 924 · h-index 13

Impact in

Papers in

A.H. Levis

60 papers receiving 837 citations

Peers

A.H. Levis
Comparison fields: 5 of 124
  • Control and Systems Engineering 243
  • Statistics, Probability and Uncertainty 53
  • Numerical Analysis 38
  • Clinical Psychology 128
  • Computational Theory and Mathematics 94
Replace Mortaza Jamshidian with:
Mortaza Jamshidian United States
Sujin Kim United States
B.D. Bunday United Kingdom
Robert H. Meyer United States
Bruno Scherrer France
Wenjun Ma China
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Shing-Chung Ngan Hong Kong
Dimitris Fouskakis Greece
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Citations per field
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Citations per year

Countries citing papers authored by A.H. Levis

Since Specialization
Citations

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

Fields of papers citing papers by A.H. Levis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside A.H. Levis, 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 A.H. Levis Line = papers co-authored together A.H. Levis links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1971228
2 2018151
3 201688
4 201656
5 198756
6 201442
7 198819
8 201618
9 202018
10 200118
11 201918
12 200515
13 196915
14 201511
15 20219
16 19899
17 19878
18 19738
19 19928
20 19868

About A.H. Levis

A.H. Levis is a scholar working on Artificial Intelligence, Management Science and Operations Research, Sociology and Political Science, Management Information Systems and Computational Theory and Mathematics, having authored 68 papers that have together received 924 indexed citations. Recurring topics across this work include Complex Systems and Decision Making (12 papers), Innovation, Sustainability, Human-Machine Systems (10 papers), Cognitive Science and Mapping (10 papers), Business Process Modeling and Analysis (8 papers), Petri Nets in System Modeling (6 papers), Service-Oriented Architecture and Web Services (5 papers), Product Development and Customization (4 papers) and Human-Automation Interaction and Safety (4 papers). The work is most often cited by research in Control and Systems Engineering (243 citations), Statistics, Probability and Uncertainty (53 citations), Numerical Analysis (38 citations), Clinical Psychology (128 citations) and Computational Theory and Mathematics (94 citations). A.H. Levis has collaborated with scholars based in United States, Canada and Netherlands. Frequent co-authors include P. Dorato, Brett D. Thombs, Linda Kwakkenbos, Andrea Benedetti, Erick H. Turner, Abbas K. Zaidi, Stephanie Coronado‐Montoya, Russell Steele, Danielle B. Rice and Lorie A. Kloda. Their work appears in journals such as IEEE Transactions on Automatic Control, Journal of Psychosomatic Research, Obesity Surgery, Patient and IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans.

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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