Peg Howland

914 total citations
9 papers, 643 citations indexed

About

Peg Howland is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Analytical Chemistry. According to data from OpenAlex, Peg Howland has authored 9 papers receiving a total of 643 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 2 papers in Analytical Chemistry. Recurrent topics in Peg Howland's work include Face and Expression Recognition (6 papers), Image Retrieval and Classification Techniques (3 papers) and Advanced Statistical Methods and Models (2 papers). Peg Howland is often cited by papers focused on Face and Expression Recognition (6 papers), Image Retrieval and Classification Techniques (3 papers) and Advanced Statistical Methods and Models (2 papers). Peg Howland collaborates with scholars based in United States. Peg Howland's co-authors include Haesun Park, H. Park, Hyunsoo Kim, Moongu Jeon, Jianlin Wang and Todd Munson and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition and Journal of Machine Learning Research.

In The Last Decade

Peg Howland

8 papers receiving 570 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peg Howland United States 5 436 282 117 83 82 9 643
Marco Bressan Italy 13 263 0.6× 157 0.6× 82 0.7× 66 0.8× 25 0.3× 46 536
Damien François Belgium 8 149 0.3× 179 0.6× 70 0.6× 30 0.4× 32 0.4× 24 361
Julia Neumann Germany 7 148 0.3× 212 0.8× 95 0.8× 20 0.2× 10 0.1× 14 417
Su‐Yun Huang Taiwan 10 160 0.4× 193 0.7× 31 0.3× 17 0.2× 17 0.2× 29 425
Yingkang Hu United States 8 170 0.4× 191 0.7× 71 0.6× 60 0.7× 7 0.1× 19 392
R. Lojacono Italy 11 229 0.5× 268 1.0× 31 0.3× 97 1.2× 8 0.1× 51 456
Sandro Vega-Pons Italy 8 190 0.4× 354 1.3× 88 0.8× 51 0.6× 5 0.1× 10 531
Dongxia Chang China 13 275 0.6× 364 1.3× 50 0.4× 61 0.7× 3 0.0× 34 546

Countries citing papers authored by Peg Howland

Since Specialization
Citations

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

Fields of papers citing papers by Peg Howland

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peg Howland

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

All Works

9 of 9 papers shown
1.
Munson, Todd & Peg Howland. (2006). The feasNewt benchmark. 150–154. 4 indexed citations
2.
Kim, Hyunsoo, Peg Howland, & Haesun Park. (2005). Dimension Reduction in Text Classification with Support Vector Machines. Journal of Machine Learning Research. 6(2). 37–53. 149 indexed citations
3.
Howland, Peg, Jianlin Wang, & Haesun Park. (2005). Solving the small sample size problem in face recognition using generalized discriminant analysis. Pattern Recognition. 39(2). 277–287. 87 indexed citations
4.
Howland, Peg & H. Park. (2004). Generalizing discriminant analysis using the generalized singular value decomposition. IEEE Transactions on Pattern Analysis and Machine Intelligence. 26(8). 995–1006. 255 indexed citations
5.
Howland, Peg & Haesun Park. (2004). Equivalence of Several Two-stage Methods for Linear Discriminant Analysis. 69–77. 13 indexed citations
6.
Kim, Hyunsoo, Peg Howland, & Haesun Park. (2003). Text Classification using Support Vector Machines with Dimension Reduction. University of Minnesota Digital Conservancy (University of Minnesota).
7.
Howland, Peg, Moongu Jeon, & Haesun Park. (2003). Structure Preserving Dimension Reduction for Clustered Text Data Based on the Generalized Singular Value Decomposition. SIAM Journal on Matrix Analysis and Applications. 25(1). 165–179. 131 indexed citations
8.
Howland, Peg & Haesun Park. (2002). Extension of Discriminant Analysis based on the Generalized Singular Value Decomposition. University of Minnesota Digital Conservancy (University of Minnesota). 3 indexed citations
9.
Park, Haesun, Moongu Jeon, & Peg Howland. (2001). Dimension Reduction for Text Data Representation Based on Cluster Structure Preserving Projection. University of Minnesota Digital Conservancy (University of Minnesota). 1 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

Breakdown of academic impact, for papers by Marco Bressan Breakdown of academic impact, for papers by Damien François Breakdown of academic impact, for papers by Julia Neumann Breakdown of academic impact, for papers by Su‐Yun Huang Breakdown of academic impact, for papers by Yingkang Hu Breakdown of academic impact, for papers by R. Lojacono Breakdown of academic impact, for papers by Sandro Vega-Pons Breakdown of academic impact, for papers by Dongxia Chang
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2026