Ronald Kemker

4.8k total citations · 3 hit papers
8 papers, 2.6k citations indexed

About

Ronald Kemker is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Ronald Kemker has authored 8 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 4 papers in Media Technology. Recurrent topics in Ronald Kemker's work include Domain Adaptation and Few-Shot Learning (5 papers), Advanced Image and Video Retrieval Techniques (4 papers) and Remote-Sensing Image Classification (4 papers). Ronald Kemker is often cited by papers focused on Domain Adaptation and Few-Shot Learning (5 papers), Advanced Image and Video Retrieval Techniques (4 papers) and Remote-Sensing Image Classification (4 papers). Ronald Kemker collaborates with scholars based in United States, United Kingdom and Germany. Ronald Kemker's co-authors include Christopher Kanan, Stefan Wermter, Jose L. Part, German I. Parisi, Carl Salvaggio, Tyler L. Hayes and Nathan D. Cahill and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, ISPRS Journal of Photogrammetry and Remote Sensing and Neural Networks.

In The Last Decade

Ronald Kemker

8 papers receiving 2.5k citations

Hit Papers

Continual lifelong learning with neural networks: A review 2018 2026 2020 2023 2019 2018 2018 500 1000 1.5k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Continual lifelong learning with neural networks: A review
    2019 1.7k citations German I. Parisi, Ronald Kemker et al. Neural Networks profile →
  2. Algorithms for semantic segmentation of multispectral remote sensing imagery using deep learning
    2018 420 citations Ronald Kemker, Carl Salvaggio et al. ISPRS Journal of Photogrammetry and Remote Sensing profile →
  3. Measuring Catastrophic Forgetting in Neural Networks
    2018 312 citations Ronald Kemker, Tyler L. Hayes et al. Proceedings of the AAAI Conference on Artificial Intelligence profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ronald Kemker United States 7 1.5k 916 409 207 143 8 2.6k
Ruby C. Weng Taiwan 11 1.3k 0.9× 1.1k 1.2× 387 0.9× 125 0.6× 174 1.2× 24 3.2k
Pavel Pudil Czechia 15 1.5k 1.0× 1.3k 1.4× 358 0.9× 134 0.6× 282 2.0× 63 3.5k
Xuming He China 26 1.3k 0.9× 2.5k 2.7× 493 1.2× 206 1.0× 107 0.7× 127 3.6k
Jason Yosinski United States 13 2.3k 1.6× 1.9k 2.1× 294 0.7× 227 1.1× 209 1.5× 25 4.7k
Songyang Lao China 22 743 0.5× 1.6k 1.8× 262 0.6× 175 0.8× 107 0.7× 106 3.7k
Jana Novovičová Czechia 14 1.3k 0.9× 1.2k 1.3× 381 0.9× 121 0.6× 280 2.0× 29 3.3k
Antonia Creswell United Kingdom 6 988 0.7× 1.1k 1.2× 229 0.6× 223 1.1× 98 0.7× 6 3.0k
Yanming Guo China 15 1.0k 0.7× 1.3k 1.4× 253 0.6× 125 0.6× 99 0.7× 65 3.0k
Wenjie Yang China 7 797 0.5× 927 1.0× 171 0.4× 347 1.7× 99 0.7× 17 3.1k
Tom White United Kingdom 4 855 0.6× 987 1.1× 222 0.5× 248 1.2× 174 1.2× 7 2.9k

Countries citing papers authored by Ronald Kemker

Since Specialization
Citations

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

Fields of papers citing papers by Ronald Kemker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ronald Kemker

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

All Works

8 of 8 papers shown
1.
Parisi, German I., Ronald Kemker, Jose L. Part, Christopher Kanan, & Stefan Wermter. (2019). Continual lifelong learning with neural networks: A review. Neural Networks. 113. 54–71. 1665 indexed citations breakdown →
2.
Kemker, Ronald, Carl Salvaggio, & Christopher Kanan. (2018). Algorithms for semantic segmentation of multispectral remote sensing imagery using deep learning. ISPRS Journal of Photogrammetry and Remote Sensing. 145. 60–77. 420 indexed citations breakdown →
3.
Hayes, Tyler L., Ronald Kemker, Nathan D. Cahill, & Christopher Kanan. (2018). New Metrics and Experimental Paradigms for Continual Learning. 2112–21123. 12 indexed citations
4.
Kemker, Ronald, et al.. (2018). Measuring Catastrophic Forgetting in Neural Networks. Proceedings of the AAAI Conference on Artificial Intelligence. 32(1). 312 indexed citations breakdown →
5.
Kemker, Ronald, et al.. (2018). Low-Shot Learning for the Semantic Segmentation of Remote Sensing Imagery. IEEE Transactions on Geoscience and Remote Sensing. 1–10. 51 indexed citations
6.
Kemker, Ronald & Christopher Kanan. (2017). Deep Neural Networks for Semantic Segmentation of Multispectral Remote Sensing Imagery.. arXiv (Cornell University). 3 indexed citations
7.
Kemker, Ronald & Christopher Kanan. (2017). FearNet: Brain-Inspired Model for Incremental Learning. arXiv (Cornell University). 28 indexed citations
8.
Kemker, Ronald & Christopher Kanan. (2017). Self-Taught Feature Learning for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing. 55(5). 2693–2705. 99 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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