Ian Lenz

2.2k citations
6 papers · 1.3k indexed · 1 hit paper · h-index 6
Topics
Robot Manipulation and Learning (5 papers)Hand Gesture Recognition Systems (3 papers)Advanced Neural Network Applications (2 papers)
Journals
The International Journal of Robotics ResearcharXiv (Cornell University)
Partner nations
United States

In The Last Decade

Ian Lenz

6 papers receiving 1.3k citations

Hit Papers

Deep learning for detecting robotic grasps201520262018202220152505007501000

Peers

Ian Lenz
Comparison fields: 5 of 82
  • Control and Systems Engineering 1.0k
  • Biomedical Engineering 520
  • Computer Vision and Pattern Recognition 421
  • Artificial Intelligence 354
  • Human-Computer Interaction 233
Replace Steffen Knoop with:
Steffen Knoop Germany
Lerrel Pinto United States
Torsten Kröger Germany
Jeannette Bohg United States
Arjun Singh United States
Minghao Gou China
Carl Henrik Ek Sweden
Weiwei Wan Japan
Matthew Matl United States
Rosen Diankov United States
Ian Lenz relative to Steffen Knoop Germany Steffen Knoop's profile →
Citations per field
00.5×6.3×
Steffen Knoop · 1×
Citations per year

Countries citing papers authored by Ian Lenz

Since Specialization
Citations

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

Fields of papers citing papers by Ian Lenz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ian Lenz

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

All Works

6 of 6 papers shown
#WorkIndexed citations
1
Deep learning for detecting robotic graspsbreakdown →
1013
2 170
3 47
4 5
5 78
6 19

About Ian Lenz

Ian Lenz is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Control and Systems Engineering, having authored 6 papers that have together received 1.3k indexed citations. Recurring topics across this work include Robot Manipulation and Learning (5 papers), Hand Gesture Recognition Systems (3 papers) and Advanced Neural Network Applications (2 papers). The work is most often cited by research in Control and Systems Engineering (1.0k citations), Human-Computer Interaction (233 citations) and Computer Vision and Pattern Recognition (421 citations). Ian Lenz has collaborated with scholars based in United States. Frequent co-authors include Ashutosh Saxena, Honglak Lee, Ross A. Knepper and Chenxia Wu. Their work appears in journals such as The International Journal of Robotics Research and arXiv (Cornell University).

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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