Nicholas R. Howe

1.1k total citations
30 papers, 742 citations indexed

About

Nicholas R. Howe is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Political Science and International Relations. According to data from OpenAlex, Nicholas R. Howe has authored 30 papers receiving a total of 742 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Computer Vision and Pattern Recognition, 8 papers in Artificial Intelligence and 3 papers in Political Science and International Relations. Recurrent topics in Nicholas R. Howe's work include Handwritten Text Recognition Techniques (12 papers), Image Processing and 3D Reconstruction (10 papers) and Image Retrieval and Classification Techniques (8 papers). Nicholas R. Howe is often cited by papers focused on Handwritten Text Recognition Techniques (12 papers), Image Processing and 3D Reconstruction (10 papers) and Image Retrieval and Classification Techniques (8 papers). Nicholas R. Howe collaborates with scholars based in United States, Switzerland and Germany. Nicholas R. Howe's co-authors include Michael E. Leventon, William T. Freeman, R. Manmatha, Toni M. Rath, D.P. Huttenlocher, Andreas Fischer, Hubert Mara, Rolf Ingold, Kaspar Riesen and Jerod Weinman and has published in prestigious journals such as Pattern Recognition, Image and Vision Computing and Machine Vision and Applications.

In The Last Decade

Nicholas R. Howe

28 papers receiving 684 citations

Peers

Nicholas R. Howe
Wen Gao China
Darrell United States
Yueyu Hu China
Nicholas R. Howe
Citations per year, relative to Nicholas R. Howe Nicholas R. Howe (= 1×) peers Yinfu Feng

Countries citing papers authored by Nicholas R. Howe

Since Specialization
Citations

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

Fields of papers citing papers by Nicholas R. Howe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nicholas R. Howe. 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 Nicholas R. Howe. The network helps show where Nicholas R. Howe may publish in the future.

Co-authorship network of co-authors of Nicholas R. Howe

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

All Works

20 of 20 papers shown
2.
Howe, Nicholas R., et al.. (2019). Deformable Part Models for Automatically Georeferencing Historical Map Images. Smith ScholarWorks (Smith College). 540–543. 11 indexed citations
3.
Howe, Nicholas R., et al.. (2018). Offline Signature Verification Via Structural Methods: Graph Edit Distance and Inkball Models. 163–168. 16 indexed citations
4.
Howe, Nicholas R. & Stephanie Z. Xie. (2017). Chronological Profiling for Paleography. 783–788. 1 indexed citations
5.
Howe, Nicholas R., et al.. (2016). Inkball Models as Features for Handwriting Recognition. ArODES (HES-SO (https://www.hes-so.ch/)). 8. 96–101. 2 indexed citations
6.
Howe, Nicholas R., et al.. (2016). Segmentation Free Spotting of Cuneiform Using Part Structured Models. 301–306. 12 indexed citations
7.
Howe, Nicholas R.. (2013). Part-Structured Inkball Models for One-Shot Handwritten Word Spotting. 34 indexed citations
8.
Howe, Nicholas R.. (2012). Document binarization with automatic parameter tuning. International Journal on Document Analysis and Recognition (IJDAR). 16(3). 247–258. 142 indexed citations
9.
Howe, Nicholas R.. (2011). A Laplacian Energy for Document Binarization. 6–10. 77 indexed citations
10.
Howe, Nicholas R.. (2011). A recognition-based motion capture baseline on the HumanEva II test data. Machine Vision and Applications. 22(6). 995–1008. 11 indexed citations
11.
Howe, Nicholas R., et al.. (2009). Finding words in alphabet soup: Inference on freeform character recognition for historical scripts. Pattern Recognition. 42(12). 3338–3347. 15 indexed citations
12.
Howe, Nicholas R.. (2007). Recognition-Based Motion Capture and the HumanEva II Test Data. Smith ScholarWorks (Smith College). 8 indexed citations
13.
Howe, Nicholas R.. (2006). Evaluating Lookup-Based Monocular Human Pose Tracking on the HumanEva Test Data. Smith ScholarWorks (Smith College). 9 indexed citations
14.
Howe, Nicholas R.. (2006). Silhouette lookup for monocular 3D pose tracking. Image and Vision Computing. 25(3). 331–341. 29 indexed citations
15.
Howe, Nicholas R.. (2005). Silhouette Lookup for Automatic Pose Tracking. 15–22. 43 indexed citations
16.
Howe, Nicholas R. & D.P. Huttenlocher. (2002). Integrating color, texture, and geometry for image retrieval. 2. 239–246. 11 indexed citations
17.
Howe, Nicholas R.. (2002). Percentile blobs for image similarity. 10. 78–83. 7 indexed citations
18.
Huttenlocher, D.P. & Nicholas R. Howe. (2001). Analysis and representations for automatic comparison, classification and retrieval of digital images. 216–216. 2 indexed citations
19.
Howe, Nicholas R., Michael E. Leventon, & William T. Freeman. (1999). Bayesian Reconstruction of 3D Human Motion from Single-Camera Video. Smith ScholarWorks (Smith College). 12. 820–826. 177 indexed citations
20.
Howe, Nicholas R. & Claire Cardie. (1999). Weighting Unusual Feature Types. Smith ScholarWorks (Smith College). 3 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.

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