Bruce A. Draper
About
In The Last Decade
Bruce A. Draper
121 papers receiving 5.1k citations
Hit Papers
Peers
Comparison fields: 5 of 143
- Computer Vision and Pattern Recognition 4.3k
- Aerospace Engineering 925
- Signal Processing 835
- Artificial Intelligence 678
- Electrical and Electronic Engineering 570
Countries citing papers authored by Bruce A. Draper
This map shows the geographic impact of Bruce A. Draper'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 Bruce A. Draper with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bruce A. Draper more than expected).
Fields of papers citing papers by Bruce A. Draper
This network shows the impact of papers produced by Bruce A. Draper. 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 Bruce A. Draper. The network helps show where Bruce A. Draper may publish in the future.
Co-authorship network of co-authors of Bruce A. Draper
This figure shows the co-authorship network connecting the top 25 collaborators of Bruce A. Draper. A scholar is included among the top collaborators of Bruce A. Draper 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 Bruce A. Draper. Bruce A. Draper is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 102 | |
| 3 | 11 | |
| 4 | 23 | |
| 5 | On the Existence of Face Quality Measures | NIST | 2 |
| 6 | Factors that Influence Algorithm Performance | 0 |
| 7 | 28 | |
| 8 | Illumination Face Spaces Are Idiosyncratic. | 13 |
| 9 | 14 | |
| 10 | Linear and Generalized Linear Models for Analyzing Face Recognition Performance | NIST | 1 |
| 11 | 96 | |
| 12 | Evaluating Feature Relevance: Reducing Bias in Relief. | 2 |
| 13 | PCA vs. ICA: A Comparison on the FERET Data Set. | 79 |
| 14 | 7 | |
| 15 | A High Level, Algorithmic Programming Language and Compiler for Reconfigurable Systems. | 3 |
| 16 | Behavioral Cloning of Student Pilots with Modular Neural Networks | 9 |
| 17 | 21 | |
| 18 | Color Recognition by Learning: ATR in Color Images. | 5 |
| 19 | Learning Grouping Strategies for 2D and 3D Object Recognition | 3 |
| 20 | 2 |
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.