David Squire

1.7k citations
62 papers · 1.4k · h-index 17

Impact in

Papers in

David Squire

56 papers receiving 1.2k citations

Peers

David Squire
Comparison fields: 5 of 96
  • Computer Vision and Pattern Recognition 1.1k
  • Signal Processing 149
  • Media Technology 91
  • Artificial Intelligence 272
  • Information Systems 109
Replace Chabane Djeraba with:
Chabane Djeraba France
Stéphane Marchand‐Maillet Switzerland
Edoardo Ardizzone Italy
Bart Thomée Netherlands
D.C. Koelma Netherlands
Jay Yagnik United States
Antonio M. Rinaldi Italy
Zhengquan Xu China
Lei Cui China
Bin Zhu China
David Squire relative to Chabane Djeraba France Chabane Djeraba's profile →
Citations per field
00.5×1.5×
Chabane Djeraba · 1×
Citations per year

Countries citing papers authored by David Squire

Since Specialization
Citations

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

Fields of papers citing papers by David Squire

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside David Squire, 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 David Squire Line = papers co-authored together David Squire links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001443
2 2000155
3
Content-based query of image databases, inspirations from text retrieval: inverted files, frequency-based weights and relevance feedback
1998105
4 200288
5 201550
6 200349
7 200132
8
A Comparison of Human and Machine Assessments of Image Similarity for the Organization of Image Databases
199731
9 199323
10 199923
11 200321
12 200321
13 200220
14 200520
15 199919
16 200017
17 200316
18 199816
19 199914
20
Long-Term Learning from User Behavior in Content-Based Image Retrieval
200013

About David Squire

David Squire is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Information Systems and Media Technology, having authored 62 papers that have together received 1.4k indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (36 papers), Advanced Image and Video Retrieval Techniques (25 papers), Video Analysis and Summarization (10 papers), Blind Source Separation Techniques (5 papers), Data Management and Algorithms (5 papers), Medical Image Segmentation Techniques (4 papers), Cryptography and Data Security (4 papers) and Remote-Sensing Image Classification (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.1k citations), Signal Processing (149 citations), Media Technology (91 citations), Artificial Intelligence (272 citations) and Information Systems (109 citations). David Squire has collaborated with scholars based in Australia, Switzerland and United States. Frequent co-authors include Thierry Pun, Henning Müller, Wolfgang Müller, Stéphane Marchand‐Maillet, Terry Caelli, Laurence Bull, Constant J. Mews, Wolfgang Müller, Nabeel Mohammed and Nayyar A. Zaidi. Their work appears in journals such as Pattern Recognition Letters, Lecture notes in computer science, International Journal of Computer Vision, Frontiers in Immunology and Operations research, computer science. Interface series.

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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