Philip Thrift

584 citations
14 papers · 434 · h-index 7

Impact in

    • Fuzzy Logic and Control Systems
    • Neural Networks and Applications
    • Evolutionary Algorithms and Applications
    • Metaheuristic Optimization Algorithms Research
    • Image and Object Detection Techniques
    • Advanced Vision and Imaging
    • Optical measurement and interference techniques

Papers in

    • Speech and dialogue systems 3
    • Speech Recognition and Synthesis 3
    • Natural Language Processing Techniques 3
    • Neural Networks and Applications 2
    • Fuzzy Logic and Control Systems 1
    • Image and Object Detection Techniques 2
    • Image Processing and 3D Reconstruction 2

Philip Thrift

14 papers receiving 412 citations

Peers

Philip Thrift
Comparison fields: 5 of 71
  • Artificial Intelligence 260
  • Computer Vision and Pattern Recognition 129
  • Statistics and Probability 31
  • Computer Graphics and Computer-Aided Design 12
  • Human Factors and Ergonomics 7
Replace Andrzej Dziech with:
Andrzej Dziech Poland
Ismo Kärkkäinen Finland
Xiaochun Wang China
Alfredo Cuesta‐Infante Spain
Hiroyoshi Nomura Japan
Kezong Tang China
Hongbin Yu China
Nagaraju Devarakonda India
Fernando Gaxiola Mexico
Chih-Li Huo Taiwan
Philip Thrift relative to Andrzej Dziech Poland Andrzej Dziech's profile →
Citations per field
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Andrzej Dziech · 1×
Citations per year

Countries citing papers authored by Philip Thrift

Since Specialization
Citations

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

Fields of papers citing papers by Philip Thrift

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Philip Thrift. 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 Philip Thrift. The network helps show where Philip Thrift may publish in the future.

Co-authors

The 6 scholars most cited alongside Philip Thrift, 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 Philip Thrift Line = papers co-authored together Philip Thrift links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 1991263
2 198337
3 198333
4 199431
5 199525
6 200913
7 198312
8 19936
9
Numerical Solutions of Hereditary Control Problems via an Approximation Technique.
19755
10 19964
11 19822
12 19951
13 19951
14 20031

About Philip Thrift

Philip Thrift is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computational Mechanics, Computational Theory and Mathematics and Control and Systems Engineering, having authored 14 papers that have together received 434 indexed citations. Recurring topics across this work include Speech and dialogue systems (3 papers), Speech Recognition and Synthesis (3 papers), Natural Language Processing Techniques (3 papers), Neural Networks and Applications (2 papers), Image and Object Detection Techniques (2 papers), Image Processing and 3D Reconstruction (2 papers), Advanced Numerical Analysis Techniques (2 papers) and Fuzzy Logic and Control Systems (1 paper). The work is most often cited by research in Artificial Intelligence (260 citations), Computer Vision and Pattern Recognition (129 citations), Statistics and Probability (31 citations), Computer Graphics and Computer-Aided Design (12 citations) and Human Factors and Ergonomics (7 citations). Philip Thrift has collaborated with scholars based in United States. Frequent co-authors include Stanley Dunn, Charles T. Hemphill, Kwangyoen Wohn, Larry S. Davis, Chia-Hoang Lee and Eugene M. Cliff. Their work appears in journals such as Pattern Recognition, IEEE Multimedia, IEEE Transactions on Pattern Analysis and Machine Intelligence, Expert Systems and CERN Document Server (European Organization for Nuclear 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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