Catherine E. Towers

2.0k citations
73 papers · 1.6k · h-index 23

Impact in

Papers in

Catherine E. Towers

70 papers receiving 1.5k citations

Peers

Catherine E. Towers
Comparison fields: 5 of 87
  • Computer Vision and Pattern Recognition 951
  • Media Technology 389
  • Instrumentation 79
  • Geology 123
  • Computational Mechanics 319
Replace David P. Towers with:
David P. Towers United Kingdom
Ivo Ihrke Germany
William A. P. Smith United Kingdom
Juan Antonio Quiroga Spain
Pramod K. Rastogi Switzerland
John E. Greivenkamp United States
José Sasián United States
Henrik O. Saldner Sweden
J. Matías Di Martino Uruguay
Xiaoli Liu China
Catherine E. Towers relative to David P. Towers United Kingdom David P. Towers's profile →
Citations per field
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David P. Towers · 1×
Citations per year

Countries citing papers authored by Catherine E. Towers

Since Specialization
Citations

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

Fields of papers citing papers by Catherine E. Towers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Catherine E. Towers. 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 Catherine E. Towers. The network helps show where Catherine E. Towers may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006217
2 2003141
3 2004125
4 201582
5 200478
6 201161
7 200453
8 201047
9 200946
10 199944
11 200440
12 201138
13 200934
14 201634
15 201434
16 199232
17 201730
18 201325
19 200725
20 200925

About Catherine E. Towers

Catherine E. Towers is a scholar working on Computer Vision and Pattern Recognition, Mechanical Engineering, Electrical and Electronic Engineering, Media Technology and Atomic and Molecular Physics, and Optics, having authored 73 papers that have together received 1.6k indexed citations. Recurring topics across this work include Optical measurement and interference techniques (33 papers), Advanced Measurement and Metrology Techniques (20 papers), Image Processing Techniques and Applications (17 papers), Advanced Fiber Optic Sensors (13 papers), Digital Holography and Microscopy (11 papers), Malaria Research and Control (10 papers), Mosquito-borne diseases and control (9 papers) and Advanced Vision and Imaging (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (951 citations), Media Technology (389 citations), Instrumentation (79 citations), Geology (123 citations) and Computational Mechanics (319 citations). Catherine E. Towers has collaborated with scholars based in United Kingdom, China and Tanzania. Frequent co-authors include David P. Towers, J.D.C. Jones, Zonghua Zhang, Konstantinos Falaggis, N. Angarita-Jaimes, Philip J. McCall, J Parker, Mayumi Abé, A. H. Greenaway and Peter J. Bryanston-Cross. Their work appears in journals such as Optics Letters, Applied Optics, Experiments in Fluids, Measurement Science and Technology and Scientific Reports.

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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