John B. Thomas

6.0k total citations · 1 hit paper
168 papers, 4.5k citations indexed

About

John B. Thomas is a scholar working on Computer Networks and Communications, Artificial Intelligence and Statistics and Probability. According to data from OpenAlex, John B. Thomas has authored 168 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Computer Networks and Communications, 32 papers in Artificial Intelligence and 31 papers in Statistics and Probability. Recurrent topics in John B. Thomas's work include Distributed Sensor Networks and Detection Algorithms (34 papers), Target Tracking and Data Fusion in Sensor Networks (25 papers) and Advanced Statistical Process Monitoring (18 papers). John B. Thomas is often cited by papers focused on Distributed Sensor Networks and Detection Algorithms (34 papers), Target Tracking and Data Fusion in Sensor Networks (25 papers) and Advanced Statistical Process Monitoring (18 papers). John B. Thomas collaborates with scholars based in United States, France and India. John B. Thomas's co-authors include Corey S. Goodman, Michael J. Bastiani, Stefan Thor, James H. Miller, H. Vincent Poor, Michael Bate, Cynthia L. Hughes, S.A. Kassam, Kung Yao and Robert J. Wyman and has published in prestigious journals such as Nature, Science and Neuron.

In The Last Decade

John B. Thomas

155 papers receiving 4.2k citations

Hit Papers

Loss of Intranetwork and Internetwork Resting State Funct... 2012 2026 2016 2021 2012 100 200 300 400

Peers

John B. Thomas
Comparison fields: 5 of 162
  • Cellular and Molecular Neuroscience 1.3k
  • Molecular Biology 1000
  • Computer Networks and Communications 676
  • Artificial Intelligence 558
  • Cognitive Neuroscience 523
Replace Christopher S. Wallace with:
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David Zipser United States
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S. Yoshizawa Japan
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Ronen Segev Israel
Marcelo O. Magnasco United States
S. Arimoto Japan
Christopher S. Wallace United States View profile →
Citations per field, relative to John B. Thomas
John B. Thomas · 1×
Citations per year, relative to John B. Thomas
John B. Thomas · 1×

Countries citing papers authored by John B. Thomas

Since Specialization
Citations

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

Fields of papers citing papers by John B. Thomas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John B. Thomas. 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 John B. Thomas. The network helps show where John B. Thomas may publish in the future.

Co-authorship network of co-authors of John B. Thomas

This figure shows the co-authorship network connecting the top 25 collaborators of John B. Thomas. A scholar is included among the top collaborators of John B. Thomas based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with John B. Thomas. John B. Thomas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 9
2
Loss of Intranetwork and Internetwork Resting State Functional Connections with Alzheimer's Disease Progression breakdown →
456
3 175
4 19
5
Mitigation of the Near-Far Problem by Successive Interference Cancellation
4
6 6
7 12
8
Signal-to-Noise Ratio and Central Limit Theorem Considerations in Non-Gaussian Detection,
1
9
Adaptive Detection of a Known Signal in Non-Gaussian Noise,
1
10
Alternatives to optimal detection
3
11
Detection in a non-Gaussian environment
1
12
Noise models for detection
1
13
Sensitivity of some optimal detectors to noise skewness
1
14 10
15
Nonparametric detection : theory and applications
8
16
Optimum Quantization for Memoryless Detection in m-Dependent Noise,
1
17 21
18 12
19 1
20
ON THE RECOGNITION OF SIGNAL PATTERNS IN NOISE
1

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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