Benjamin Graham

13 papers receiving 369 citations

Benjamin Graham's Hit Papers

Exploring Data-Efficient 3D Scene Understanding with Contrastive Scene Contexts 2021 · 197 citations
1970+1+3Years since publication50100150

Peers

Benjamin Graham
Comparison fields: 5 of 72
  • Geology 107
  • Computer Graphics and Computer-Aided Design 27
  • Computational Mechanics 144
  • Computer Vision and Pattern Recognition 124
  • Environmental Engineering 68
Replace Weikai Tan with:
Weikai Tan Canada
Yaolin Hou China
Alessandro Gallo Italy
Tianyang Shi China
Vid Petrovic United States
Aijin Li China
Miaole Hou China
Eric Rigall China
Mike Pan United States
Timmy Gambin Malta
Benjamin Graham relative to Weikai Tan Canada Weikai Tan's profile →
Citations per field
00.5×1.5×1.9×
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

13 of 13 papers shown
#Work
1
Exploring Data-Efficient 3D Scene Understanding with Contrastive Scene Contexts
Hit paper breakdown →
2021197
2 2018113
3 202114
4 202011
5 20229
6 20197
7 20165
8 20204
9 20134
10
Training with Quantization Noise for Extreme Fixed-Point Compression
20203
11 20213
12
Reasoning in the Absence of Goals
20112
13 20222

About Benjamin Graham

Benjamin Graham is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition, Computational Mechanics, Plant Science and Artificial Intelligence, having authored 13 papers that have together received 374 indexed citations. Recurring topics across this work include Research in Cotton Cultivation (3 papers), Plant Molecular Biology Research (2 papers), Advanced Vision and Imaging (2 papers), Human Pose and Action Recognition (2 papers), 3D Shape Modeling and Analysis (2 papers), Robotics and Sensor-Based Localization (1 paper), Optical measurement and interference techniques (1 paper) and AI-based Problem Solving and Planning (1 paper). The work is most often cited by research in Geology (107 citations), Computer Graphics and Computer-Aided Design (27 citations), Computational Mechanics (144 citations), Computer Vision and Pattern Recognition (124 citations) and Environmental Engineering (68 citations). Benjamin Graham has collaborated with scholars based in United States, United Kingdom and Israel. Frequent co-authors include Saining Xie, Matthias Niesner, Ji Hou, Christopher C. Mader, Cédric M. Guigand, Jessica Y. Luo, Robert K. Cowen, Jean‐Olivier Irisson, Candace H. Haigler and Jeremy Reizenstein. Their work appears in journals such as Planta, Limnology and Oceanography Methods, Applications in Plant Sciences, ACM Transactions on Mathematical Software 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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