Debkalpa Goswami

Purdue University West Lafayette, Massachusetts Institute of Technology, ETH Zurich, Cleveland Clinic

Papers

9

Total Citations

528

H-Index

7

About

No biography available yet.

Research Focus

Computer science7 · 453 citations
Materials science5 · 444 citations
Engineering5 · 407 citations
Mechanical engineering4 · 401 citations
Robot4 · 401 citations
Soft robotics4 · 401 citations
Nanotechnology4 · 341 citations
Artificial intelligence4 · 333 citations
Actuator2 · 317 citations
Soft materials2 · 224 citations
Systems engineering2 · 220 citations
Control engineering1 · 214 citations

Key Achievements

7
H-Index
9
Papers
528
Total Citations
59
Avg Citations/Paper
🏆 Most Cited Paper
Exploiting Mechanical Instabilities in Soft Robotics: Control, Sensing, and Actuation
214 citations · 2021
📈 Most Prolific Year: 2019 (2 Papers)
🤝 Key Collaborators: 53
🏛 Institutions: Purdue University West Lafayette, Massachusetts Institute of Technology, ETH Zurich, Cleveland Clinic

Top Papers

  1. 1
    Exploiting Mechanical Instabilities in Soft Robotics: Control, Sensing, and Actuation
    214 citations · 2021
  2. 2
    Elastic Energy Storage Enables Rapid and Programmable Actuation in Soft Machines
    103 citations · 2019
  3. 3
    3D‐Architected Soft Machines with Topologically Encoded Motion
    74 citations · 2019
  4. 4
    Dynamic actuation enhances transport and extends therapeutic lifespan in an implantable drug delivery platform
    43 citations · 2022
  5. 5
    A soft robotic sleeve mimicking the haemodynamics and biomechanics of left ventricular pressure overload and aortic stenosis
    41 citations · 2022
  6. 6
    Soft robotic patient-specific hydrodynamic model of aortic stenosis and ventricular remodeling
    34 citations · 2023
  7. 7
    Soft Machines: Elastic Energy Storage Enables Rapid and Programmable Actuation in Soft Machines (Adv. Funct. Mater. 1/2020)
    10 citations · 2020
  8. 8
    AI‐Powered Multimodal Modeling of Personalized Hemodynamics in Aortic Stenosis
    6 citations · 2024
  9. 9
    AI-powered multimodal modeling of personalized hemodynamics in aortic stenosis
    3 citations · 2024

Key Collaborators

ETEllen T. Roche5 shared papersÇÖÇağlar Öztürk4 shared papersLRLuca Rosalia4 shared papersRVRamsés V. Martínez4 shared papersAPAniket Pal4 shared papersCNChristopher Nguyen3 shared papersRGRaymond G. McKay2 shared papersSXSophie X. Wang2 shared papersDHDaniel H. Pak2 shared papersMRMary Robakowski2 shared papersBBBenjamin Bonner2 shared papersYFYiling Fan2 shared papersRBRachel Beatty1 shared papersSCShi Chen1 shared papersRGRaymond G. O'Connor1 shared papersRPRishi Puri1 shared papersJBJean Bonnemain1 shared papersWWWilliam Whyte1 shared papersYNYasufumi Nagata1 shared papersRARobert A. Eder1 shared papers
Not generated yet