David M. Kramer

Computer Vision and Pattern Recognition · 2001–2016

A researcher in the Science corpus: 9 papers; trusts 6 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 42 citations into it; #12,657 of 21,575 by trust here, #13,542 by citations
• Molecular Biology — 41 citations into it; #13,932 of 17,773 by trust here, #9,136 by citations
• Renewable Energy, Sustainability and the Environment — 13 citations into it
• Atomic and Molecular Physics, and Optics — 5 citations into it; #5,656 of 7,135 by trust here, #3,776 by citations

Whom David M. Kramer trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Robert Eugene Blankenship
2. Massimo Minervini

Who trusts David M. Kramer overall

1. Marian Brestic
2. B. Efeoğlu
3. Michael Moustakas
4. Albert Porcar-Castell
5. M. Živčák
6. Massimo Minervini
7. Esa Tyystjärvi
8. N. R. Baker
9. George C. Papageorgiou
10. Y. Ekmekçi

Papers from David M. Kramer's perspective

Ordered by how strongly the researchers David M. Kramer trusts endorse each paper. Same corpus, a different order for every researcher.

1. A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics
2. A Computational Approach to Edge Detection
3. Annotated Image Datasets of Rosette Plants
4. Dynamics of seedling growth acclimation towards altered light conditions can be quantified via GROWSCREEN: a setup and procedure designed for rapid optical phenotyping of different plant species.
5. Random Walks for Image Segmentation
6. Digital image processing
7. Phenomics: the next challenge (Nature reviews genetics)
8. Rosette Tracker: An Open Source Image Analysis Tool for Automatic Quantification of Genotype Effects1[C][W]
9. Multi-leaf tracking from fluorescence plant videos
10. Image Analysis: The New Bottleneck in Plant Phenotyping [Applications Corner]

Their papers

• Leaf segmentation in plant phenotyping: a collation study (2015) — 281 citations
• New Fluorescence Parameters for the Determination of QA Redox State and Excitation Energy Fluxes (2004) — 1,665 citations
• Depletion of stromal Pi induces high ‘energy‐dependent’ antenna exciton quenching (qE) by decreasing proton conductivity at CFO‐CF1 ATP synthase (2007) — 128 citations
• Integrating the proton circuit into photosynthesis: progress and challenges (2005) — 90 citations
• Contribution of electric field (Δψ) to steady-state transthylakoid proton motive force (pmf) in vitro and in vivo. Control of pmf parsing into Δψ and ΔpH by ionic strength (2001) — 252 citations
• Multi-modality imagery database for plant phenotyping (2016) — 71 citations
• MultispeQ Beta: a tool for large-scale plant phenotyping connected to the open PhotosynQ network (2016) — 341 citations
• Multi-leaf tracking from fluorescence plant videos (2014) — 53 citations
• Comparing Photosynthetic and Photovoltaic Efficiencies and Recognizing the Potential for Improvement (2011) — 1,542 citations