W. Nick Street
- Artificial Intelligence top 0.2%
- Computer Vision and Pattern Recognition top 1%
- Information Systems top 1%
- Molecular Biology
- Signal Processing top 2%
- Co-authors
- YongSeog KimO. L. MangasarianWilliam H. WolbergFilippo MenczerLian DuanEric XuSamuel BurerYi Zhang
- Topics
- AI in cancer detection (12 papers)Data Mining Algorithms and Applications (11 papers)Artificial Intelligence in Healthcare (8 papers)
- Partner nations
- United StatesSouth KoreaChina
In The Last Decade
W. Nick Street
90 papers receiving 3.8k citations
Hit Papers
Peers
Comparison fields: 5 of 164
- Artificial Intelligence 2.6k
- Computer Vision and Pattern Recognition 755
- Information Systems 581
- Molecular Biology 413
- Signal Processing 409
Countries citing papers authored by W. Nick Street
This map shows the geographic impact of W. Nick Street'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 W. Nick Street with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites W. Nick Street more than expected).
Fields of papers citing papers by W. Nick Street
This network shows the impact of papers produced by W. Nick Street. 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 W. Nick Street. The network helps show where W. Nick Street may publish in the future.
Co-authorship network of co-authors of W. Nick Street
This figure shows the co-authorship network connecting the top 25 collaborators of W. Nick Street. A scholar is included among the top collaborators of W. Nick Street 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 W. Nick Street. W. Nick Street is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 44 | |
| 4 | 12 | |
| 5 | Dynamic Class Prediction with Classifier Based Distance Measure. | 1 |
| 6 | 36 | |
| 7 | Divide and Transfer: an Exploration of Segmented Transfer to Detect Wikipedia Vandalism. | 1 |
| 8 | Query-based Text Normalization Selection Models for Enhanced Retrieval Accuracy | 1 |
| 9 | 32 | |
| 10 | 188 | |
| 11 | Predicting outcomes of hospitalization for heart failure using logistic regression and knowledge discovery methods. | 6 |
| 12 | 23 | |
| 13 | 15 | |
| 14 | Feature selection in supervised and unsupervised learning via evolutionary search | 3 |
| 15 | Automatic feature mining for personalized digital image retrieval | 5 |
| 16 | A Neural Network Model for Prognostic Prediction | 44 |
| 17 | 13 | |
| 18 | 1 | |
| 19 | 12 | |
| 20 | Clustering via Concave Minimization | 156 |
About W. Nick Street
W. Nick Street is a scholar working on Health Information Management, Artificial Intelligence and Information Systems, having authored 93 papers that have together received 4.0k indexed citations. Recurring topics across this work include AI in cancer detection (12 papers), Data Mining Algorithms and Applications (11 papers) and Artificial Intelligence in Healthcare (8 papers). The work is most often cited by research in Artificial Intelligence (2.6k citations), Health Information Management (216 citations) and Signal Processing (409 citations). W. Nick Street has collaborated with scholars based in United States, South Korea and China. Frequent co-authors include YongSeog Kim, O. L. Mangasarian, William H. Wolberg, Filippo Menczer, Lian Duan, Eric Xu, Samuel Burer, Yi Zhang, Paul S. Bradley and Patricia Bradley. Their work appears in journals such as Cancer, Management Science and Expert Systems with Applications.
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.