A.H. Levis

2.2k citations
62 papers · 846 · h-index 13

Impact in

Papers in

A.H. Levis

55 papers receiving 780 citations

Peers

A.H. Levis
Comparison fields: 5 of 123
  • Control and Systems Engineering 216
  • Statistics, Probability and Uncertainty 52
  • Clinical Psychology 123
  • Numerical Analysis 34
  • Computational Theory and Mathematics 84
Replace Robert H. Meyer with:
Robert H. Meyer United States
Dimitris Fouskakis Greece
Vinay Kumar India
Bruno Scherrer France
Uri Shalit Israel
Shing-Chung Ngan Hong Kong
Wenjun Ma China
Clare Dixon United Kingdom
Berk Ustun United States
Alan Davies United Kingdom
A.H. Levis relative to Robert H. Meyer United States Robert H. Meyer's profile →
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 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1971207
2 2018150
3 201683
4 201655
5 198747
6 201441
7 201618
8 202018
9 201918
10 198818
11 196915
12 200114
13 200513
14 201511
15 20219
16 19878
17 19738
18 20217
19 19897
20 19927

About A.H. Levis

A.H. Levis is a scholar working on Artificial Intelligence, Management Science and Operations Research, Management Information Systems, Sociology and Political Science and Computational Theory and Mathematics, having authored 62 papers that have together received 846 indexed citations. Recurring topics across this work include Complex Systems and Decision Making (9 papers), Innovation, Sustainability, Human-Machine Systems (8 papers), Cognitive Science and Mapping (8 papers), Business Process Modeling and Analysis (7 papers), Petri Nets in System Modeling (6 papers), Service-Oriented Architecture and Web Services (5 papers), Statistical Methods and Inference (4 papers) and Advanced Causal Inference Techniques (4 papers). The work is most often cited by research in Control and Systems Engineering (216 citations), Statistics, Probability and Uncertainty (52 citations), Clinical Psychology (123 citations), Numerical Analysis (34 citations) and Computational Theory and Mathematics (84 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, Stephanie Coronado‐Montoya, Russell Steele, Abbas K. Zaidi, Danielle B. Rice and Lorie A. Kloda. Their work appears in journals such as IEEE Transactions on Automatic Control, Patient, Obesity Surgery, Journal of Psychosomatic Research and Arthritis Care & 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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