Joseph J. Lim

5.9k total citations · 1 hit paper
34 papers, 1.8k citations indexed

About

Joseph J. Lim is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Joseph J. Lim has authored 34 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computer Vision and Pattern Recognition, 20 papers in Artificial Intelligence and 10 papers in Control and Systems Engineering. Recurrent topics in Joseph J. Lim's work include Reinforcement Learning in Robotics (10 papers), Multimodal Machine Learning Applications (10 papers) and Robot Manipulation and Learning (9 papers). Joseph J. Lim is often cited by papers focused on Reinforcement Learning in Robotics (10 papers), Multimodal Machine Learning Applications (10 papers) and Robot Manipulation and Learning (9 papers). Joseph J. Lim collaborates with scholars based in United States, South Korea and Canada. Joseph J. Lim's co-authors include Antonio Torralba, Piotr Dollár, C. Lawrence Zitnick, Pablo Arbeláez, Jitendra Malik, Chunhui Gu, Myung Jin Choi, Alan S. Willsky, Hamed Pirsiavash and Edward H. Adelson and has published in prestigious journals such as ACM Transactions on Graphics, The International Journal of Robotics Research and Journal of Structural Biology.

In The Last Decade

Joseph J. Lim

32 papers receiving 1.7k citations

Hit Papers

Sketch Tokens: A Learned Mid-level Representation for Con... 2013 2026 2017 2021 2013 50 100 150 200 250

Peers

Joseph J. Lim
Comparison fields: 5 of 115
  • Computer Vision and Pattern Recognition 1.4k
  • Artificial Intelligence 632
  • Aerospace Engineering 181
  • Control and Systems Engineering 162
  • Media Technology 115
Replace Jianming Zhang with:
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Peizhao Zhang United States
Kar‐Ann Toh South Korea
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Yan Lu China
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Jianming Zhang China View profile →
Citations per field, relative to Joseph J. Lim
Joseph J. Lim · 1×
Citations per year, relative to Joseph J. Lim
Joseph J. Lim · 1×

Countries citing papers authored by Joseph J. Lim

Since Specialization
Citations

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

Fields of papers citing papers by Joseph J. Lim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joseph J. Lim. 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 Joseph J. Lim. The network helps show where Joseph J. Lim may publish in the future.

Co-authorship network of co-authors of Joseph J. Lim

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 3
3 16
4 11
5
Generalizable Imitation Learning from Observation via Inferring Goal Proximity
2
6
Learning to Coordinate Manipulation Skills via Skill Behavior Diversification
11
7
Program Guided Agent
4
8
Motion Planner Augmented Reinforcement Learning for Robot Manipulation in Obstructed Environments
1
9
To Follow or not to Follow: Selective Imitation Learning from Observations.
3
10
Universal Agent for Disentangling Environments and Tasks
2
11
Composing Complex Skills by Learning Transition Policies
15
12 160
13
Neural Program Synthesis from Diverse Demonstration Videos
16
14 58
15
Model-Agnostic Meta-Learning for Multimodal Task Distributions
1
16 27
17
Sketch Tokens: A Learned Mid-level Representation for Contour and Object Detection breakdown →
292
18
Transfer Learning by Borrowing Examples for Multiclass Object Detection
62
19 18
20 197

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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