P.S. Maybeck

3.7k citations
106 papers · 2.4k · h-index 24

Impact in

Papers in

P.S. Maybeck

103 papers receiving 2.3k citations

Peers

P.S. Maybeck
Comparison fields: 5 of 47
  • Control and Systems Engineering 628
  • Artificial Intelligence 639
  • Aerospace Engineering 346
  • Automotive Engineering 46
  • Management Science and Operations Research 21
Replace Hannah H. Michalska with:
Hannah H. Michalska Canada
Martin David Adams Singapore
Thia Kirubarajan United States
Zili Deng China
Ya. Ζ. Tsypkin Russia
Marco Baglietto Italy
Ching‐Cheng Teng Taiwan
Matthias Gerdts Germany
Ravi N. Banavar India
Jun Zhou China
P.S. Maybeck relative to Hannah H. Michalska Canada Hannah H. Michalska's profile →
Citations per field
00.5×2×4×6×7.1×
Hannah H. Michalska · 1×
Citations per year

Countries citing papers authored by P.S. Maybeck

Since Specialization
Citations

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

Fields of papers citing papers by P.S. Maybeck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P.S. Maybeck. 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 P.S. Maybeck. The network helps show where P.S. Maybeck may publish in the future.

Co-authors

The 13 scholars most cited alongside P.S. Maybeck, 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 P.S. Maybeck Line = papers co-authored together P.S. Maybeck links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 106 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991189
2 2000187
3 1999160
4 1995148
5 1990132
6 1995101
7 200395
8 199292
9 198189
10 199884
11 198778
12 199665
13 198149
14 200048
15 200240
16 198537
17 198035
18 200235
19 200635
20 199333

About P.S. Maybeck

P.S. Maybeck is a scholar working on Artificial Intelligence, Control and Systems Engineering, Aerospace Engineering, Management Science and Operations Research and Computer Networks and Communications, having authored 106 papers that have together received 2.4k indexed citations. Recurring topics across this work include Target Tracking and Data Fusion in Sensor Networks (34 papers), Control Systems and Identification (11 papers), Fault Detection and Control Systems (9 papers), GNSS positioning and interference (4 papers), Simulation Techniques and Applications (3 papers), Infrared Target Detection Methodologies (3 papers), Inertial Sensor and Navigation (2 papers) and ECG Monitoring and Analysis (1 paper). The work is most often cited by research in Control and Systems Engineering (628 citations), Artificial Intelligence (639 citations), Aerospace Engineering (346 citations), Automotive Engineering (46 citations) and Management Science and Operations Research (21 citations). P.S. Maybeck has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include P.D. Hanlon, Jason Williams, Steven K. Rogers, Mark E. Oxley, John F. Raquet, Stuart N. Sheldon, Matthew Kabrisky, D.W. Ruck, Charles L. Matson and Kenneth W. Bauer. Their work appears in journals such as IEEE Transactions on Aerospace and Electronic Systems, IEEE Transactions on Automatic Control, Mathematical and Computer Modelling, Journal of the Franklin Institute and Annals of 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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