Benjamin Graham

12 papers receiving 311 citations

Hit Papers

Exploring Data-Efficient 3D Scene Understanding with Contrastive Scene Contexts 2021 · 163 citations
163202120262022202450100150

Peers

Benjamin Graham
Comparison fields: 5 of 68
  • Geology 92
  • Computational Mechanics 121
  • Computer Graphics and Computer-Aided Design 20
  • Computer Vision and Pattern Recognition 97
  • Environmental Engineering 60
Replace Weikai Tan with:
Weikai Tan Canada
Tianyang Shi China
Kwang-Ho Bae Australia
Alessandro Gallo Italy
Vid Petrovic United States
Mike Pan United States
Miaole Hou China
Eric Rigall China
Shangshu Cai China
Zining Wang China
Benjamin Graham relative to Weikai Tan Canada Weikai Tan's profile →
Citations per field
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Weikai Tan · 1×
Citations per year

Countries citing papers authored by Benjamin Graham

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin Graham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Benjamin Graham, 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 Benjamin Graham Line = papers co-authored together Benjamin Graham links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1
Exploring Data-Efficient 3D Scene Understanding with Contrastive Scene Contexts
Hit paper breakdown →
2021163
2 2018106
3 202114
4 20207
5 20196
6 20226
7 20204
8 20134
9
Training with Quantization Noise for Extreme Fixed-Point Compression
20203
10 20213
11
Reasoning in the Absence of Goals
20111
12 20221

About Benjamin Graham

Benjamin Graham is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Plant Science, Molecular Biology and Artificial Intelligence, having authored 12 papers that have together received 318 indexed citations. Recurring topics across this work include Research in Cotton Cultivation (3 papers), 3D Shape Modeling and Analysis (2 papers), Human Pose and Action Recognition (2 papers), Advanced Vision and Imaging (2 papers), Design Education and Practice (1 paper), Plant Molecular Biology Research (1 paper), Medical Imaging Techniques and Applications (1 paper) and Robotics and Sensor-Based Localization (1 paper). The work is most often cited by research in Geology (92 citations), Computational Mechanics (121 citations), Computer Graphics and Computer-Aided Design (20 citations), Computer Vision and Pattern Recognition (97 citations) and Environmental Engineering (60 citations). Benjamin Graham has collaborated with scholars based in United States, United Kingdom and Israel. Frequent co-authors include Ji Hou, Matthias Niesner, Saining Xie, Jessica Y. Luo, Robert K. Cowen, Jean‐Olivier Irisson, Cédric M. Guigand, Christopher C. Mader, Candace H. Haigler and Jeremy Reizenstein. Their work appears in journals such as Planta, ACM Transactions on Mathematical Software, Applications in Plant Sciences, Probability Theory and Related Fields and Journal of Petrology.

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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