H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Engineering and Technology H-index 76 Citations 31,288 300 World Ranking 176 National Ranking 83

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Mechanical engineering
  • Machine learning

The scientist’s investigation covers issues in Artificial intelligence, Robot, Robotics, Control engineering and Evolutionary algorithm. His Convolutional neural network study, which is part of a larger body of work in Artificial intelligence, is frequently linked to Field, bridging the gap between disciplines. His work on Soft robotics as part of general Robot study is frequently connected to Forward locomotion, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them.

Hod Lipson interconnects Rigidity, Distributed computing, Adaptive system and Self-reconfiguring modular robot in the investigation of issues within Robotics. His work in Control engineering addresses subjects such as Mobile robot, which are connected to disciplines such as Implementation and Legged robot. The various areas that Hod Lipson examines in his Evolutionary algorithm study include Evolutionary computation, Photonic integrated circuit and Optics.

His most cited work include:

  • How transferable are features in deep neural networks (2531 citations)
  • Distilling Free-Form Natural Laws from Experimental Data (1352 citations)
  • How transferable are features in deep neural networks (1281 citations)

What are the main themes of his work throughout his whole career to date?

His primary areas of study are Artificial intelligence, Robot, Robotics, Evolutionary algorithm and Machine learning. His Artificial intelligence study frequently draws parallels with other fields, such as Computer vision. His Robot research is multidisciplinary, incorporating elements of Control engineering, Control theory and Human–computer interaction.

His Evolutionary algorithm study frequently draws connections between adjacent fields such as Symbolic regression. His Object research incorporates themes from Sketch and Computer graphics.

He most often published in these fields:

  • Artificial intelligence (39.02%)
  • Robot (22.22%)
  • Robotics (11.37%)

What were the highlights of his more recent work (between 2016-2021)?

  • Artificial intelligence (39.02%)
  • Robot (22.22%)
  • Artificial neural network (6.20%)

In recent papers he was focusing on the following fields of study:

His scientific interests lie mostly in Artificial intelligence, Robot, Artificial neural network, Composite material and Laser. Hod Lipson has included themes like Machine learning and Pattern recognition in his Artificial intelligence study. His work carried out in the field of Machine learning brings together such families of science as Point and Domain knowledge.

The concepts of his Robot study are interwoven with issues in Distributed computing, Task, Task and Human–computer interaction. While the research belongs to areas of Artificial neural network, Hod Lipson spends his time largely on the problem of Theoretical computer science, intersecting his research to questions surrounding Training set, Embedding, Word, Face and Generative model. His Composite material research focuses on subjects like Actuator, which are linked to Silicone.

Between 2016 and 2021, his most popular works were:

  • Soft material for soft actuators (255 citations)
  • Particle robotics based on statistical mechanics of loosely coupled components (86 citations)
  • Automated Identification of Northern Leaf Blight-Infected Maize Plants from Field Imagery Using Deep Learning (79 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Machine learning
  • Mechanical engineering

Hod Lipson focuses on Artificial intelligence, Deep learning, Robot, Composite material and Plant disease. The Artificial intelligence study combines topics in areas such as Machine learning, Drone and Computer vision. Hod Lipson has included themes like Artificial neural network, Convolutional neural network, Blight and Test set in his Deep learning study.

His research in the fields of Robotics overlaps with other disciplines such as Particle. His Robotics research integrates issues from Control engineering, Control and Position. His Composite material study integrates concerns from other disciplines, such as Characterization, Actuator and Laser power scaling.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Top Publications

How transferable are features in deep neural networks

Jason Yosinski;Jeff Clune;Yoshua Bengio;Hod Lipson.
neural information processing systems (2014)

1818 Citations

Distilling Free-Form Natural Laws from Experimental Data

Michael Schmidt;Hod Lipson.
Science (2009)

1461 Citations

Fabricated: The New World of 3D Printing

Hod Lipson;Melba Kurman.
(2013)

1369 Citations

Understanding Neural Networks Through Deep Visualization

Jason Yosinski;Jeff Clune;Anh Mai Nguyen;Thomas J. Fuchs.
arXiv: Computer Vision and Pattern Recognition (2015)

1276 Citations

Automatic design and manufacture of robotic lifeforms

Hod Lipson;Jordan B. Pollack.
Nature (2000)

998 Citations

Universal robotic gripper based on the jamming of granular material

Eric Brown;Nicholas Rodenberg;John Amend;Annan Mozeika.
Proceedings of the National Academy of Sciences of the United States of America (2010)

909 Citations

Modular Self-Reconfigurable Robot Systems [Grand Challenges of Robotics]

M. Yim;Wei-Min Shen;B. Salemi;D. Rus.
IEEE Robotics & Automation Magazine (2007)

845 Citations

Resilient machines through continuous self-modeling.

Josh Bongard;Victor Zykov;Hod Lipson.
Science (2006)

752 Citations

The evolutionary origins of modularity

Jeff Clune;Jeff Clune;Jean-Baptiste Mouret;Hod Lipson.
Proceedings of The Royal Society B: Biological Sciences (2013)

514 Citations

Rapid 3D printing of anatomically accurate and mechanically heterogeneous aortic valve hydrogel scaffolds

L A Hockaday;K H Kang;N W Colangelo;P Y C Cheung.
Biofabrication (2012)

460 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

If you think any of the details on this page are incorrect, let us know.

Contact us

Top Scientists Citing Hod Lipson

Josh Bongard

Josh Bongard

University of Vermont

Publications: 77

Daniela Rus

Daniela Rus

MIT

Publications: 60

Jeff Clune

Jeff Clune

OpenAI

Publications: 55

Fumiya Iida

Fumiya Iida

University of Cambridge

Publications: 46

Steven L. Brunton

Steven L. Brunton

University of Washington

Publications: 45

Jean-Baptiste Mouret

Jean-Baptiste Mouret

University of Lorraine

Publications: 41

J. Nathan Kutz

J. Nathan Kutz

University of Washington

Publications: 39

Robert J. Wood

Robert J. Wood

Harvard University

Publications: 39

Kenneth O. Stanley

Kenneth O. Stanley

University of Central Florida

Publications: 38

Risto Miikkulainen

Risto Miikkulainen

The University of Texas at Austin

Publications: 36

Mark Yim

Mark Yim

University of Pennsylvania

Publications: 36

Rolf Pfeifer

Rolf Pfeifer

University of Zurich

Publications: 35

George M. Whitesides

George M. Whitesides

Harvard University

Publications: 35

A. E. Eiben

A. E. Eiben

Vrije Universiteit Amsterdam

Publications: 33

Metin Sitti

Metin Sitti

Max Planck Institute for Intelligent Systems

Publications: 32

Something went wrong. Please try again later.