F. Fierens

534 total citations
25 papers, 388 citations indexed

About

F. Fierens is a scholar working on Computer Vision and Pattern Recognition, Health, Toxicology and Mutagenesis and Artificial Intelligence. According to data from OpenAlex, F. Fierens has authored 25 papers receiving a total of 388 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 7 papers in Health, Toxicology and Mutagenesis and 6 papers in Artificial Intelligence. Recurrent topics in F. Fierens's work include Air Quality and Health Impacts (6 papers), Neural Networks and Applications (5 papers) and Image Retrieval and Classification Techniques (5 papers). F. Fierens is often cited by papers focused on Air Quality and Health Impacts (6 papers), Neural Networks and Applications (5 papers) and Image Retrieval and Classification Techniques (5 papers). F. Fierens collaborates with scholars based in Belgium, Italy and United States. F. Fierens's co-authors include Tim S. Nawrot, Benoît Nemery, Johan Van Cleynenbreugel, Paul Suetens, A. Oosterlinck, Guy De Backer, Rudi Torfs, Peter Hoet, Stefaan De Henauw and Paul L. Rosin and has published in prestigious journals such as Atmospheric Environment, Journal of Epidemiology & Community Health and American Journal of Transplantation.

In The Last Decade

F. Fierens

22 papers receiving 363 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
F. Fierens Belgium 9 222 91 45 45 44 25 388
Ammatzia Peled Israel 9 246 1.1× 79 0.9× 13 0.3× 16 0.4× 10 0.2× 22 430
Andrew Rebeiro‐Hargrave Finland 8 130 0.6× 192 2.1× 5 0.1× 40 0.9× 60 1.4× 20 307
Junwei Xu China 9 281 1.3× 91 1.0× 11 0.2× 299 6.6× 31 0.7× 18 505
Jingwei Shen China 13 102 0.5× 76 0.8× 2 0.0× 38 0.8× 30 0.7× 50 433
Yidong Peng China 16 35 0.2× 120 1.3× 18 0.4× 127 2.8× 5 0.1× 31 557
Marco A. Reyna Mexico 11 146 0.7× 53 0.6× 6 0.1× 29 0.6× 12 0.3× 54 338
Liyi Zhang China 12 121 0.5× 6 0.1× 9 0.2× 18 0.4× 5 0.1× 43 358
Huagui He China 12 53 0.2× 120 1.3× 3 0.1× 18 0.4× 10 0.2× 25 338
Shahana Bano India 8 93 0.4× 59 0.6× 37 0.8× 12 0.3× 38 251

Countries citing papers authored by F. Fierens

Since Specialization
Citations

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

Fields of papers citing papers by F. Fierens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of F. Fierens

This figure shows the co-authorship network connecting the top 25 collaborators of F. Fierens. A scholar is included among the top collaborators of F. Fierens 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 F. Fierens. F. Fierens 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
1.
Argacha, Jean‐François, et al.. (2024). Impact of recurrent COVID-19 disease waves on acute myocardial infarction epidemics: results from a regional network. Acta cardiologica. Supplementum. 79(6). 679–684.
2.
Hooyberghs, Hans, Sam De Craemer, Wouter Lefebvre, et al.. (2022). Validation and optimization of the ATMO-Street air quality model chain by means of a large-scale citizen-science dataset. Atmospheric Environment. 272. 118946–118946. 14 indexed citations
3.
Verleden, Stijn E., Hans Scheers, Tim S. Nawrot, et al.. (2012). Lymphocytic Bronchiolitis After Lung Transplantation Is Associated With Daily Changes in Air Pollution. American Journal of Transplantation. 12(7). 1831–1838. 33 indexed citations
4.
Fierens, F.. (2011). Air pollution in Belgium: will we be able to comply with the European standards?. PubMed. 73(5-6). 353–9. 1 indexed citations
5.
Emmerechts, Jan, Leo Jacobs, Soetkin Van kerckhoven, et al.. (2011). Air pollution‐associated procoagulant changes: the role of circulating microvesicles. Journal of Thrombosis and Haemostasis. 10(1). 96–106. 50 indexed citations
6.
Lefebvre, Wouter, F. Fierens, Stijn Janssen, et al.. (2010). Modeling the effects of a speed limit reduction on traffic-related elemental carbon (EC) concentrations and population exposure to EC. Atmospheric Environment. 45(1). 197–207. 33 indexed citations
7.
Nawrot, Tim S., Rudi Torfs, F. Fierens, et al.. (2007). Stronger associations between daily mortality and fine particulate air pollution in summer than in winter: evidence from a heavily polluted region in western Europe. Journal of Epidemiology & Community Health. 61(2). 146–149. 136 indexed citations
8.
Hooyberghs, Jef, Clemens Mensink, Gerwin Dumont, F. Fierens, & Olivier Brasseur. (2004). Short term PM 10 forecasting: a survey of possible input variables. WIT Transactions on Ecology and the Environment. 74. 2 indexed citations
9.
Fierens, F., I. Kanellopoulos, G.G. Wilkinson, & J. Mégier. (2002). Comparison and visualization of feature space behaviour of statistical and neural classifiers of satellite imagery. 4. 1880–1882. 3 indexed citations
10.
Rosin, Paul L. & F. Fierens. (1998). The effects of data filtering on neural network learning. Neurocomputing. 20(1-3). 155–162. 5 indexed citations
11.
Kanellopoulos, I., F. Fierens, & G.G. Wilkinson. (1994). <title>Combination of parametric and neural classifiers for analysis of multisensor remote sensing imagery</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 2304. 218–224. 1 indexed citations
12.
Fierens, F. & Paul L. Rosin. (1994). <title>Filtering remote sensing data in the spatial and feature domains</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 2315. 472–482. 8 indexed citations
13.
Fierens, F., G.G. Wilkinson, & I. Kanellopoulos. (1994). <title>Studying the behavior of neural and statistical classifiers by interaction in feature space</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 2315. 483–493. 2 indexed citations
14.
Fierens, F., Johan Van Cleynenbreugel, Paul Suetens, & A. Oosterlinck. (1992). A software environment for image database research. Journal of Visual Languages & Computing. 3(1). 49–68. 6 indexed citations
15.
Fierens, F., Johan Van Cleynenbreugel, Paul Suetens, & A. Oosterlinck. (1991). Iconic representation of visual data and models. Pattern Recognition Letters. 12(12). 781–792. 2 indexed citations
16.
Cleynenbreugel, Johan Van, F. Fierens, Paul Suetens, & A. Oosterlinck. (1991). A strategy to incorporate gis knowledge during road extraction form satellite imagery. 197–206.
17.
Cleynenbreugel, Johan Van, F. Fierens, Paul Suetens, & A. Oosterlinck. (1990). Delineating road structures on satellite imagery by a GIS-guided technique.. Photogrammetric Engineering & Remote Sensing. 56(6). 893–898. 29 indexed citations
18.
Fierens, F., Johan Van Cleynenbreugel, Paul Suetens, & A. Oosterlinck. (1990). I-see: An AI tool for image understanding. Engineering Applications of Artificial Intelligence. 3(1). 62–70. 4 indexed citations
19.
Cleynenbreugel, Johan Van, F. Fierens, Paul Suetens, & A. Oosterlinck. (1988). Knowledge-based improvement of automatic image interpretation for restricted scenes: two case studies. Image and Vision Computing. 6(4). 238–246. 4 indexed citations
20.
Suetens, Paul, et al.. (1987). An expert system for blood vessel segmentation on subtraction angiograms. 767. 454–459. 7 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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