J. Markowitz

5.1k citations
11 papers · 169 · h-index 5

Impact in

Papers in

    • Domain Adaptation and Few-Shot Learning 2
    • Adversarial Robustness in Machine Learning 1
    • Advanced Sensor and Energy Harvesting Materials 2
    • Muscle activation and electromyography studies 2

J. Markowitz

11 papers receiving 161 citations

Peers

J. Markowitz
Comparison fields: 5 of 58
  • Physical Therapy, Sports Therapy and Rehabilitation 12
  • Biomedical Engineering 101
  • Rehabilitation 11
  • Health Informatics 1
  • Astronomy and Astrophysics 11
Replace C. Sugimoto with:
C. Sugimoto Japan
Julie Muccini United States
Stefano Bertuletti Italy
Samuel Boudet France
Andrew P. Creagh United Kingdom
Pietro Oldrati Switzerland
Laura Pastor‐Sanz Spain
Vittorio Lippi Germany
Michael Sapienza United Kingdom
J. Markowitz relative to C. Sugimoto Japan C. Sugimoto's profile →
Citations per field
00.5×11×
C. Sugimoto · 1×
Citations per year

Countries citing papers authored by J. Markowitz

Since Specialization
Citations

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

Fields of papers citing papers by J. Markowitz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside J. Markowitz, 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 J. Markowitz Line = papers co-authored together J. Markowitz links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 201177
2 201633
3 201823
4 202215
5 200811
6 20173
7 20222
8
The First International Competition in Machine Reconnaissance Blind Chess
20192
9
Deep CPT-RL: Imparting Human-Like Risk Sensitivity to Artificial Agents.
20211
10 20231
11 20231

About J. Markowitz

J. Markowitz is a scholar working on Artificial Intelligence, Biomedical Engineering, Automotive Engineering, Civil and Structural Engineering and Social Psychology, having authored 11 papers that have together received 169 indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (2 papers), Advanced Sensor and Energy Harvesting Materials (2 papers), Muscle activation and electromyography studies (2 papers), Stock Market Forecasting Methods (1 paper), Autonomous Vehicle Technology and Safety (1 paper), Adversarial Robustness in Machine Learning (1 paper), Remote-Sensing Image Classification (1 paper) and Structural Health Monitoring Techniques (1 paper). The work is most often cited by research in Physical Therapy, Sports Therapy and Rehabilitation (12 citations), Biomedical Engineering (101 citations), Rehabilitation (11 citations), Health Informatics (1 citation) and Astronomy and Astrophysics (11 citations). J. Markowitz has collaborated with scholars based in United States, India and Finland. Frequent co-authors include Hugh Herr, Michael Frederick Eilenberg, Ken Endo, Pavitra Krishnaswamy, I-Jeng Wang, M. Zanolin, E. Katsavounidis, L. Cadonati, Chien‐Ming Huang and Ting Yang. Their work appears in journals such as PLoS ONE, PLoS Computational Biology, Philosophical Transactions of the Royal Society B Biological Sciences, 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) and National Conference on Artificial Intelligence.

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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