Neal Mazur
- Media Technology top 2%
- Advanced Image Fusion Techniques 3
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- Video Surveillance and Tracking Methods 5
- Image Enhancement Techniques 4
- Advanced Neural Network Applications 3
- Human-Computer Interaction top 10%
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- Computational Drug Discovery Methods 3
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- Protein Structure and Dynamics 3
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- Spectroscopy Techniques in Biomedical and Chemical Research 3
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- Advanced Chemical Sensor Technologies 3
- Journals
- Expert Systems with Applications (1 paper)Pattern Recognition (1 paper)Information Sciences (1 paper)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Neal Mazur
23 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Media Technology 242
- Computer Vision and Pattern Recognition 554
- Control and Systems Engineering 406
- Human-Computer Interaction 50
- Computational Theory and Mathematics 144
Countries citing papers authored by Neal Mazur
This map shows the geographic impact of Neal Mazur'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 Neal Mazur with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neal Mazur more than expected).
Fields of papers citing papers by Neal Mazur
This network shows the impact of papers produced by Neal Mazur. 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 Neal Mazur. The network helps show where Neal Mazur may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Neal Mazur, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Brain tumor segmentation in MRI with multi-modality spatial information enhancement and boundary shape correctionbreakdown → | 2024 | 93 |
| 2 | 2024 | 40 | |
| 3 | 2023 | 57 | |
| 4 | 2022 | 101 | |
| 5 | 2022 | 23 | |
| 6 | 2021 | 10 | |
| 7 | 2021 | 48 | |
| 8 | 2021 | 65 | |
| 9 | 2021 | 11 | |
| 10 | 2021 | 10 | |
| 11 | 2021 | 58 | |
| 12 | 2021 | 18 | |
| 13 | 2021 | 17 | |
| 14 | 2021 | 5 | |
| 15 | 2020 | 188 | |
| 16 | 2020 | 32 | |
| 17 | Service learning in computing: creating computer science pipeline by attracting and engaging high school students | 2018 | 2 |
| 18 | Computer science for all in Western New York: building a community of practice | 2017 | 0 |
| 19 | An improved robot simulation for teaching programming concepts | 2000 | 1 |
| 20 | 1982 | 2 |
About Neal Mazur
Neal Mazur is a scholar working on Biophysics, Computer Vision and Pattern Recognition and Human Factors and Ergonomics, having authored 25 papers that have together received 1.4k indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (5 papers), Image Enhancement Techniques (4 papers), Advanced Image Fusion Techniques (3 papers), Protein Structure and Dynamics (3 papers), Computational Drug Discovery Methods (3 papers), Spectroscopy Techniques in Biomedical and Chemical Research (3 papers), Advanced Chemical Sensor Technologies (3 papers) and Advanced Neural Network Applications (3 papers). The work is most often cited by research in Media Technology (242 citations), Computer Vision and Pattern Recognition (554 citations) and Control and Systems Engineering (406 citations). Neal Mazur has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Guanqiu Qi, Zhiqin Zhu, Xinghua Huang, Yi Chai, Gang Hu, Yiyao An, Yuanyuan Li, Hongyan Wei, Robert F. Cromp and Baisen Cong. Their work appears in journals such as Expert Systems with Applications, Pattern Recognition and Information Sciences.
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.