G.L. Wise

2.2k citations
78 papers · 1.5k indexed · 1 hit paper · h-index 15

G.L. Wise

73 papers receiving 1.4k citations

Hit Papers

A theoretical analysis of the properties of median filters5841981202619962011100200300400500

Peers

G.L. Wise
Comparison fields: 5 of 116
  • Signal Processing 310
  • Computer Vision and Pattern Recognition 589
  • Statistics and Probability 202
  • Statistics, Probability and Uncertainty 94
  • Media Technology 99
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Citations per year

Countries citing papers authored by G.L. Wise

Since Specialization
Citations

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

Fields of papers citing papers by G.L. Wise

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G.L. Wise. 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 G.L. Wise. The network helps show where G.L. Wise may publish in the future.

Co-authorship network

The 18 scholars most cited alongside G.L. Wise, 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 G.L. Wise Line = papers co-authored together G.L. Wise links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20022
2 19930
3 19922
4 19921
5 19913
6 19911
7 19871
8
Some Remarks on Optimal Quantization.
19821
9
Performance of Median Filters with Random Inputs.
19821
10
Some notes on optimal quantization
19819
11 198143
12 19806
13
Some Results on Asymptotic Memoryless Detection in Strong Mixing Noise.
19801
14 198014
15
On the Performance of a Modified Sign Detector for M-Dependent Data.
19791
16
Stochastic Convergence under Nonlinear Transformations on Metric Spaces,
19791
17 19794
18 197810
19
Some Preliminary Results on Detection in Laplace Noise.
19771
20 19753

About G.L. Wise

G.L. Wise is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty, Signal Processing, Control and Systems Engineering and Mathematical Physics, having authored 78 papers that have together received 1.5k indexed citations. Recurring topics across this work include Control Systems and Identification (13 papers), Advanced Data Compression Techniques (12 papers), Distributed Sensor Networks and Detection Algorithms (11 papers), Target Tracking and Data Fusion in Sensor Networks (10 papers), Fault Detection and Control Systems (7 papers), Advanced Statistical Process Monitoring (7 papers), Digital Filter Design and Implementation (7 papers) and Stability and Control of Uncertain Systems (7 papers). The work is most often cited by research in Signal Processing (310 citations), Computer Vision and Pattern Recognition (589 citations), Statistics and Probability (202 citations), Statistics, Probability and Uncertainty (94 citations) and Media Technology (99 citations). G.L. Wise has collaborated with scholars based in United States, Canada and Philippines. Frequent co-authors include Neal C. Gallagher, J.A. Bucklew, Luc Devroye, L. A. Geddes, John B. Thomas, Apostolos Traganitis, Norman C. Griswold, John D. Whited, Robert J. Marks and Michael Thompson. Their work appears in journals such as IEEE Transactions on Information Theory, Journal of the Franklin Institute, Systems & Control Letters, Journal of Multivariate Analysis and SIAM Journal on Applied Mathematics.

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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