Paul Fieguth

797 total citations
11 papers, 561 citations indexed

About

Paul Fieguth is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Molecular Biology. According to data from OpenAlex, Paul Fieguth has authored 11 papers receiving a total of 561 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 4 papers in Biomedical Engineering and 3 papers in Molecular Biology. Recurrent topics in Paul Fieguth's work include Acoustic Wave Resonator Technologies (4 papers), Image and Signal Denoising Methods (2 papers) and Mechanical and Optical Resonators (2 papers). Paul Fieguth is often cited by papers focused on Acoustic Wave Resonator Technologies (4 papers), Image and Signal Denoising Methods (2 papers) and Mechanical and Optical Resonators (2 papers). Paul Fieguth collaborates with scholars based in Canada, United Kingdom and United States. Paul Fieguth's co-authors include Robert Jepras, M. J. Wilkinson, S. Pearson, Matti Pietikäinen, Rama Chellappa, Li Liu, Jie Chen, Guoying Zhao, Cedric J. Olliff and Zulfiqur Ali and has published in prestigious journals such as Applied and Environmental Microbiology, Antimicrobial Agents and Chemotherapy and International Journal of Computer Vision.

In The Last Decade

Paul Fieguth

11 papers receiving 533 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Paul Fieguth Canada	8	176	122	95	79	41	11	561
Ahmed M. Darwish Egypt	14	224 1.3×	92 0.8×	26 0.3×	43 0.5×	70 1.7×	70	724
Vico Pascual Spain	10	54 0.3×	118 1.0×	43 0.5×	34 0.4×	32 0.8×	25	548
Hirohisa Oda Japan	8	157 0.9×	162 1.3×	126 1.3×	25 0.3×	10 0.2×	45	790
Eloy Mata Spain	10	47 0.3×	109 0.9×	37 0.4×	34 0.4×	27 0.7×	17	478
Pratik Shah United States	16	67 0.4×	382 3.1×	161 1.7×	120 1.5×	9 0.2×	34	991
Chia‐Chen Wu Taiwan	14	303 1.7×	174 1.4×	65 0.7×	16 0.2×	67 1.6×	38	859
Xiaoping Wu China	10	114 0.6×	42 0.3×	48 0.5×	48 0.6×	19 0.5×	22	606
Joon‐Yong Lee South Korea	19	76 0.4×	329 2.7×	163 1.7×	141 1.8×	19 0.5×	88	1.2k
Donghoon Kang South Korea	10	33 0.2×	154 1.3×	69 0.7×	13 0.2×	17 0.4×	24	555
Weiyuan Chen China	19	53 0.3×	106 0.9×	61 0.6×	44 0.6×	9 0.2×	64	991

Countries citing papers authored by Paul Fieguth

Since Specialization

Citations

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

Fields of papers citing papers by Paul Fieguth

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul Fieguth

This figure shows the co-authorship network connecting the top 25 collaborators of Paul Fieguth. A scholar is included among the top collaborators of Paul Fieguth 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 Paul Fieguth. Paul Fieguth is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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11 of 11 papers shown

Liu, Li, Jie Chen, Paul Fieguth, et al.. (2018). From BoW to CNN: Two Decades of Texture Representation for Texture Classification. International Journal of Computer Vision. 127(1). 74–109. 255 indexed citations

Liu, Ying, Dake He, & Paul Fieguth. (2012). Adaptive post-filtering based on Local Binary Patterns. 2905–2908. 1 indexed citations

Jain, Aanchal, Alexander Wong, & Paul Fieguth. (2012). Saliency detection via statistical non-redundancy. 16. 1073–1076. 8 indexed citations

Fieguth, Paul, et al.. (2008). Statistical fusion and sampling of scientific images. 1312–1315. 3 indexed citations

Wesolkowski, Slawomir & Paul Fieguth. (2004). Color image segmentation using connected regions. 2. 1203–1206. 3 indexed citations

Olliff, Cedric J., et al.. (2002). Real-time monitoring of stain formation and removal on calcium hydroxyapatite surfaces using quartz crystal sensor technology. The Analyst. 127(3). 360–367. 13 indexed citations

Barnes, L., et al.. (2001). A rapid, non-destructive method for the determination of Staphylococcus epidermidis adhesion to surfaces using quartz crystal resonant sensor technology. Letters in Applied Microbiology. 33(5). 344–348. 13 indexed citations

Olliff, Cedric J., et al.. (2001). Quartz crystal resonant sensor (QCRS) model for label-free, small molecules—receptor studies. The Analyst. 126(10). 1711–1715. 9 indexed citations

Ali, Zulfiqur, et al.. (1999). Application of the quartz crystal microbalance to the monitoring of Staphylococcus epidermidis antigen–antibody agglutination. Journal of Pharmaceutical and Biomedical Analysis. 20(1-2). 241–245. 27 indexed citations

10.

Jepras, Robert, Paul Fieguth, S. Pearson, & M. J. Wilkinson. (1997). Rapid assessment of antibiotic effects on Escherichia coli by bis-(1,3-dibutylbarbituric acid) trimethine oxonol and flow cytometry. Antimicrobial Agents and Chemotherapy. 41(9). 2001–2005. 75 indexed citations

11.

Jepras, Robert, et al.. (1995). Development of a robust flow cytometric assay for determining numbers of viable bacteria. Applied and Environmental Microbiology. 61(7). 2696–2701. 154 indexed citations

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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