Karl Ni

2.4k total citations · 1 hit paper
27 papers, 1.2k citations indexed

About

Karl Ni is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Signal Processing. According to data from OpenAlex, Karl Ni has authored 27 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Vision and Pattern Recognition, 5 papers in Aerospace Engineering and 4 papers in Signal Processing. Recurrent topics in Karl Ni's work include Image and Signal Denoising Methods (8 papers), Advanced Image and Video Retrieval Techniques (8 papers) and Advanced Image Processing Techniques (7 papers). Karl Ni is often cited by papers focused on Image and Signal Denoising Methods (8 papers), Advanced Image and Video Retrieval Techniques (8 papers) and Advanced Image Processing Techniques (7 papers). Karl Ni collaborates with scholars based in United States, Germany and United Kingdom. Karl Ni's co-authors include Damian Borth, Benjamin Elizalde, Bart Thomée, Gerald Friedland, Truong Q. Nguyen, David A. Shamma, Douglas N. Poland, Li-Jia Li, Nadya Bliss and Colleen Richey and has published in prestigious journals such as Communications of the ACM, IEEE Transactions on Image Processing and Institutional Research Information System (Università degli Studi di Trento).

In The Last Decade

Karl Ni

24 papers receiving 1.2k citations

Hit Papers

align trajectories

Peers

Countries citing papers authored by Karl Ni

Since Specialization

Citations

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

Fields of papers citing papers by Karl Ni

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karl Ni

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Large-scale visual search and similarity for e-commerce 2021 ·(unknown), Siyun Wang, Karl Ni	2
2	Voices Obscured in Complex Environmental Settings (VOiCES) Corpus 2018 ·Colleen Richey, M. A. Barrios, (unknown), Chris Bartels, Horacio Franco, Martin Graciarena, Aaron Lawson, Mahesh Kumar Nandwana, (unknown), Julien van Hout, Paul Gamble, J. W. Hetherly, Cory Stephenson, Karl Ni	56
3	Monaural speaker separation using source-contrastive estimation 2017 ·Cory Stephenson, Patrick Callier, (unknown), Karl Ni	1
4	On noise reduction for handwritten writer identification 2017 ·Karl Ni, Patrick Callier, (unknown), (unknown), (unknown)	1
5	Writer Identification in Noisy Handwritten Documents 2017 ·Karl Ni, Patrick Callier, (unknown)	12
6	Kickstarting the Commons 2015 ·OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) ·(unknown), Damian Borth, (unknown), Jaeyoung Choi, Benjamin Elizalde, Gerald Friedland, (unknown), Karl Ni, Roger Pearce, (unknown), Khalid Ashraf, David A. Shamma, Bart Thomée	6
7	Audio-concept features and hidden Markov models for multimedia event detection. 2014 ·Institutional Research Information System (Università degli Studi di Trento) ·Benjamin Elizalde, Mirco Ravanelli, Karl Ni, Damian Borth, Gerald Friedland	2
8	The Placing Task 2014 ·Jaeyoung Choi, Bart Thomée, Gerald Friedland, Liangliang Cao, Karl Ni, Damian Borth, Benjamin Elizalde, (unknown), (unknown), Roger Pearce, (unknown)	22
9	Learning features in deep architectures with unsupervised kernel k-means 2013 ·Karl Ni, Ryan Prenger	2
10	Geo-registering 3D point clouds to 2D maps with scan matching and the Hough Transform 2013 ·Karl Ni, (unknown), (unknown)	6
11	Cluster-based 3D reconstruction of aerial video 2012 ·(unknown), Karl Ni, Nadya Bliss	3
12	3D image geo-registration using vision-based modeling 2011 ·Karl Ni, Zachary Z. Sun, Nadya Bliss	1
13	A 3D feature model for image matching 2010 ·Zachary Z. Sun, Nadya Bliss, Karl Ni	1
14	Polyphase interpretation of empirical image interpolation 2009 ·Karl Ni, Truong Q. Nguyen	0
15	Adaptable K-nearest neighbor for image interpolation 2008 ·Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing ·Karl Ni, Truong Quang Nguyen	8
16	A model for image patch-based algorithms 2008 ·Karl Ni, Truong Q. Nguyen	0
17	Image Superresolution Using Support Vector Regression 2007 ·IEEE Transactions on Image Processing ·Karl Ni, Truong Q. Nguyen	211
18	Color Image Superresolution Based on a Stochastic Combinational Classification-Regression Algorithm 2007 ·Karl Ni, Truong Q. Nguyen	3
19	Learning the Kernel Matrix for Superresolution 2006 ·Karl Ni, Sanjeev Kumar, Truong Q. Nguyen	5
20	Structural risk minimization 2005 ·Nuno Vasconcelos, Arthur Berg, Arshia Cont, Sanjeev Kumar, (unknown), Karl Ni, Wenyi Zhang, Thomas Zheng	1

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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