Nick J. Pizzi

1.2k total citations
72 papers, 822 citations indexed

About

Nick J. Pizzi is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Nick J. Pizzi has authored 72 papers receiving a total of 822 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Artificial Intelligence, 15 papers in Information Systems and 15 papers in Computer Vision and Pattern Recognition. Recurrent topics in Nick J. Pizzi's work include Neural Networks and Applications (16 papers), Software Engineering Research (12 papers) and Software Reliability and Analysis Research (11 papers). Nick J. Pizzi is often cited by papers focused on Neural Networks and Applications (16 papers), Software Engineering Research (12 papers) and Software Reliability and Analysis Research (11 papers). Nick J. Pizzi collaborates with scholars based in Canada, Poland and United States. Nick J. Pizzi's co-authors include Witold Pedrycz, Tinghui Ouyang, Ray Somorjai, David Li, Moongu Jeon, Murray E. Alexander, James Mansfield, Mary Cheang, Lin-P'ing Choo and William Halliday and has published in prestigious journals such as SHILAP Revista de lepidopterología, NeuroImage and Expert Systems with Applications.

In The Last Decade

Nick J. Pizzi

66 papers receiving 783 citations

Peers

Nick J. Pizzi

CVPR

CTM

SOFTW

Sankhadeep Chatterjee India

Fethi Jarray Tunisia

Cătălin Stoean Romania

Mohammed Elanbari Qatar

Jose G. Moreno-Torres Spain

Matjaž Kukar Slovenia

César García‐Osorio Spain

Mahendra Kumar Gourisaria India

Munish Khanna India

Claude Nadeau Canada

Sankhadeep Chatterjee India

Nick J. Pizzi

338 ×1.2

86 ×0.5

337 ×2.5

CVPR

71 ×0.7

CTM

56 ×0.6

SOFTW

Citations per year, relative to Nick J. Pizzi Nick J. Pizzi (= 1×) peers Sankhadeep Chatterjee

Countries citing papers authored by Nick J. Pizzi

Since Specialization

Citations

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

Fields of papers citing papers by Nick J. Pizzi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nick J. Pizzi. 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 Nick J. Pizzi. The network helps show where Nick J. Pizzi may publish in the future.

Co-authorship network of co-authors of Nick J. Pizzi

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Ouyang, Tinghui, Witold Pedrycz, Orion F. Reyes-Galaviz, & Nick J. Pizzi. (2019). Granular Description of Data Structures: A Two-Phase Design. IEEE Transactions on Cybernetics. 51(4). 1902–1912. 35 indexed citations

Arino, Julien, Chris T. Bauch, Fred Brauer, et al.. (2011). Pandemic influenza: Modelling and public health perspectives. Mathematical Biosciences & Engineering. 8(1). 1–20. 14 indexed citations

Pizzi, Nick J.. (2011). Fuzzy quartile encoding as a preprocessing method for biomedical pattern classification. Theoretical Computer Science. 412(42). 5909–5925. 3 indexed citations

Pizzi, Nick J. & Witold Pedrycz. (2010). Aggregating multiple classification results using fuzzy integration and stochastic feature selection. International Journal of Approximate Reasoning. 51(8). 883–894. 25 indexed citations

Moghadas, Seyed M., Nick J. Pizzi, Jian Wu, Susan Tamblyn, & David N. Fisman. (2010). Canada in the face of the 2009 H1N1 pandemic. Influenza and Other Respiratory Viruses. 5(2). 83–88. 19 indexed citations

Pizzi, Nick J. & Witold Pedrycz. (2009). Discriminatory Components for Pattern Classification.. European Society for Fuzzy Logic and Technology Conference. 23(1). 748–753. 1 indexed citations

Moghadas, Seyed M., Nick J. Pizzi, Jian Wu, & Ping Yan. (2009). Managing public health crises: the role of models in pandemic preparedness. Influenza and Other Respiratory Viruses. 3(2). 75–79. 32 indexed citations

Jarmasz, Mark, et al.. (2007). A pattern recognition application framework for biomedical datasets. IEEE Engineering in Medicine and Biology Magazine. 26(2). 82–85. 3 indexed citations

Pizzi, Nick J., et al.. (2007). Classification of Biomedical Spectra Using Fuzzy Interquartile Encoding and Stochastic Feature Selection. 21. 668–673. 6 indexed citations

10.

Pizzi, Nick J., et al.. (2007). Reproducibility of Experimental Results from a Highly Parallelized Classification Algorithm. 15. 594–597. 1 indexed citations

11.

Li, David, Witold Pedrycz, & Nick J. Pizzi. (2005). Fuzzy Wavelet Packet Based Feature Extraction Method and Its Application to Biomedical Signal Classification. IEEE Transactions on Biomedical Engineering. 52(6). 1132–1139. 57 indexed citations

12.

Reformat, Marek, Petr Musı́lek, Victor Wu, & Nick J. Pizzi. (2005). Human perception of software complexity: knowledge discovery from software data. 202–206. 1 indexed citations

13.

Somorjai, Ray, et al.. (2004). Mapping high-dimensional data onto a relative distance plane—an exact method for visualizing and characterizing high-dimensional patterns. Journal of Biomedical Informatics. 37(5). 366–379. 27 indexed citations

14.

Pizzi, Nick J. & Witold Pedrycz. (2004). Randomized feature selection using Scopira. 669–674 Vol.2.

15.

Pedrycz, Witold & Nick J. Pizzi. (2003). Fuzzy adaptive logic networks. 1996. 500–505. 3 indexed citations

16.

Pedrycz, Witold, et al.. (2002). Severe storm cell classification using support vector machines and radial basis function approaches. 1. 87–91. 3 indexed citations

17.

Pizzi, Nick J., et al.. (2000). Classification of Volumetric Storm Cell Patterns. Journal of Advanced Computational Intelligence and Intelligent Informatics. 4(3). 206–211. 2 indexed citations

18.

Pizzi, Nick J. & Witold Pedrycz. (2000). Fuzzy set theoretic adjustment to training set class labels using robust location measures. 56. 109–112 vol.3. 6 indexed citations

19.

Pizzi, Nick J.. (2000). Optimizing Your Plant's Filter Performance. Opflow. 26(6). 37–38. 4 indexed citations

20.

Pizzi, Nick J., Lin-P'ing Choo, James Mansfield, et al.. (1995). Neural network classification of infrared spectra of control and Alzheimer's diseased tissue. Artificial Intelligence in Medicine. 7(1). 67–79. 40 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.

Explore authors with similar magnitude of impact