Karl Ni

49 total papers · 2.4k total citations
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 Advanced Image and Video Retrieval Techniques (8 papers), Image and Signal Denoising Methods (8 papers) and Advanced Image Processing Techniques (7 papers). Karl Ni is often cited by papers focused on Advanced Image and Video Retrieval Techniques (8 papers), Image and Signal Denoising Methods (8 papers) and Advanced Image Processing Techniques (7 papers). Karl Ni collaborates with scholars based in United States, United Kingdom and Germany. Karl Ni's co-authors include Truong Q. Nguyen, Benjamin Elizalde, Damian Borth, Gerald Friedland, Bart Thomée, Li-Jia Li, David A. Shamma, Douglas N. Poland, Nadya Bliss and Truong Quang Nguyen 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

YFCC100M 2016 2026 2019 2022 2016 250 500 750

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Karl Ni 906 365 191 131 91 27 1.2k
Bart Thomée 1.2k 1.3× 419 1.1× 113 0.6× 114 0.9× 103 1.1× 31 1.4k
Michel A. Westenberg 984 1.1× 262 0.7× 243 1.3× 117 0.9× 30 0.3× 53 1.5k
Benjamin Elizalde 829 0.9× 477 1.3× 61 0.3× 364 2.8× 77 0.8× 29 1.3k
Alessandro Bissacco 939 1.0× 221 0.6× 176 0.9× 84 0.6× 92 1.0× 18 1.1k
Yan Yan 879 1.0× 324 0.9× 96 0.5× 104 0.8× 70 0.8× 37 1.2k
Liu Ren 888 1.0× 386 1.1× 54 0.3× 153 1.2× 80 0.9× 58 1.3k
Bing‐Kun Bao 909 1.0× 306 0.8× 136 0.7× 75 0.6× 39 0.4× 84 1.3k
Ze-Nian Li 967 1.1× 226 0.6× 115 0.6× 196 1.5× 78 0.9× 94 1.3k
Xiaoshan Yang 949 1.0× 538 1.5× 95 0.5× 65 0.5× 55 0.6× 84 1.3k
Feng Xue 480 0.5× 353 1.0× 76 0.4× 190 1.5× 51 0.6× 55 1.0k

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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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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