William S. Meisel

1.0k citations
28 papers · 706 · h-index 10

Impact in

    • Statistical Methods and Inference
    • Advanced Statistical Methods and Models
    • Statistical Methods and Bayesian Inference
    • Neural Networks and Applications
    • Bayesian Methods and Mixture Models
    • Gaussian Processes and Bayesian Inference

Papers in

William S. Meisel

27 papers receiving 633 citations

Peers

William S. Meisel
Comparison fields: 5 of 108
  • Statistics and Probability 213
  • Artificial Intelligence 275
  • Statistics, Probability and Uncertainty 35
  • Computer Vision and Pattern Recognition 96
  • Control and Systems Engineering 105
Replace Patrick L. Odell with:
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Edward Silverman United States
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A. J. Lawrance United Kingdom
N. Giri Canada
T. Cacoullos Greece
H. K. Kesavan Canada
Michael P. Windham United States
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Citations per field
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Citations per year

Countries citing papers authored by William S. Meisel

Since Specialization
Citations

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

Fields of papers citing papers by William S. Meisel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 8 scholars most cited alongside William S. Meisel, 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 William S. Meisel Line = papers co-authored together William S. Meisel links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1977321
2 1977107
3 197350
4 197340
5 197631
6 196925
7 197524
8 196714
9
RAMP CONTROL TO RELIEVE FREEWAY CONGESTION CAUSED BY TRAFFIC DISTURBANCES
197312
10 197912
11
Use of meteorological data in air quality trend analysis
19788
12 19688
13
The optimization of complex systems with respect to multiple criteria.
19718
14 19696
15 19686
16
Talk to your computer
19935
17 19685
18 19684
19 19914
20 19903

About William S. Meisel

William S. Meisel is a scholar working on Artificial Intelligence, Control and Systems Engineering, Hardware and Architecture, Statistics and Probability and Electrical and Electronic Engineering, having authored 28 papers that have together received 706 indexed citations. Recurring topics across this work include Neural Networks and Applications (5 papers), Statistical Methods and Inference (3 papers), VLSI and Analog Circuit Testing (3 papers), Low-power high-performance VLSI design (3 papers), Speech Recognition and Synthesis (3 papers), Natural Language Processing Techniques (2 papers), Advanced Statistical Methods and Models (2 papers) and Stochastic Gradient Optimization Techniques (2 papers). The work is most often cited by research in Statistics and Probability (213 citations), Artificial Intelligence (275 citations), Statistics, Probability and Uncertainty (35 citations), Computer Vision and Pattern Recognition (96 citations) and Control and Systems Engineering (105 citations). William S. Meisel has collaborated with scholars based in United States and Ghana. Frequent co-authors include Leo Breiman, Edward M. Purcell, David C. Collins, E. Polak, H J Payne, Stephen R. Heller, G. W. A. Milne and Rasha Kashef. Their work appears in journals such as IEEE Transactions on Computers, IEEE Transactions on Reliability, Technometrics, Information Sciences and Communications of the ACM.

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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