Kurt Kramer

593 citations
15 papers · 475 indexed · h-index 8

Impact in

Papers in

Kurt Kramer

14 papers receiving 454 citations

Peers

Kurt Kramer
Comparison fields: 5 of 79
  • Media Technology 144
  • Computer Vision and Pattern Recognition 162
  • Artificial Intelligence 212
  • Biophysics 32
  • Water Science and Technology 63
Replace Zhaorui Gu with:
Zhaorui Gu China
Juan Bu China
Abel Paz Spain
Quanhua Zhao China
Christophe Collet France
Chao-Cheng Wu Taiwan
Kang Sun China
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Yunhao Gao China
Kurt Kramer relative to Zhaorui Gu China Zhaorui Gu's profile →
Citations per field
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Citations per year

Countries citing papers authored by Kurt Kramer

Since Specialization
Citations

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

Fields of papers citing papers by Kurt Kramer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Kurt Kramer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kurt Kramer Line = papers co-authored together Kurt Kramer links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 2004154
2 2005129
3 200462
4 201535
5 200919
6 202018
7 200418
8 20238
9
System for Identifying Plankton from the SIPPER Instrument Platform
20107
10 20117
11 20126
12 20116
13
Identifying Plankton from Grayscale Silhouette Images
20054
14 20112
15 20110

About Kurt Kramer

Kurt Kramer is a scholar working on Media Technology, Water Science and Technology, Biophysics, Oceanography and Computer Vision and Pattern Recognition, having authored 15 papers that have together received 475 indexed citations. Recurring topics across this work include Water Quality Monitoring Technologies (5 papers), Image Processing Techniques and Applications (4 papers), Machine Learning and Data Classification (3 papers), Cell Image Analysis Techniques (2 papers), Face and Expression Recognition (2 papers), Oil Spill Detection and Mitigation (2 papers), Imbalanced Data Classification Techniques (2 papers) and Image Retrieval and Classification Techniques (2 papers). The work is most often cited by research in Media Technology (144 citations), Computer Vision and Pattern Recognition (162 citations), Artificial Intelligence (212 citations), Biophysics (32 citations) and Water Science and Technology (63 citations). Kurt Kramer has collaborated with scholars based in United States. Frequent co-authors include Andrew Remsen, Dmitry B. Goldgof, Lawrence Hall, Scott Samson, T. L. Hopkins, Thomas L. Hopkins, Ting Luo, Rangachar Kasturi, Sergiy Fefilatyev and Matthew Shreve. Their work appears in journals such as IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics), Aquacultural Engineering, Marine Pollution Bulletin, Journal of Microscopy and Journal of Machine Learning Research.

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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