J. Markowitz

4.9k total citations
11 papers, 152 citations indexed

About

J. Markowitz is a scholar working on Artificial Intelligence, Biomedical Engineering and Surgery. According to data from OpenAlex, J. Markowitz has authored 11 papers receiving a total of 152 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Biomedical Engineering and 1 paper in Surgery. Recurrent topics in J. Markowitz's work include Muscle activation and electromyography studies (2 papers), Advanced Sensor and Energy Harvesting Materials (2 papers) and Domain Adaptation and Few-Shot Learning (2 papers). J. Markowitz is often cited by papers focused on Muscle activation and electromyography studies (2 papers), Advanced Sensor and Energy Harvesting Materials (2 papers) and Domain Adaptation and Few-Shot Learning (2 papers). J. Markowitz collaborates with scholars based in United States, Finland and India. J. Markowitz's co-authors include Hugh Herr, Pavitra Krishnaswamy, Michael Frederick Eilenberg, Ken Endo, I-Jeng Wang, M. Zanolin, E. Katsavounidis, L. Cadonati, Chien‐Ming Huang and Adam Sapirstein and has published in prestigious journals such as PLoS ONE, Philosophical Transactions of the Royal Society B Biological Sciences and PLoS Computational Biology.

In The Last Decade

J. Markowitz

11 papers receiving 148 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
J. Markowitz United States	5	94	11	11	11	10	11	152
Luiz Eduardo Barreto Martins Brazil	10	85 0.9×	13 1.2×	22 2.0×	13 1.2×	10 1.0×	27	459
Jürgen Edelmann‐Nusser Germany	9	85 0.9×	10 0.9×	7 0.6×	26 2.4×	5 0.5×	27	266
Jörg Fuchslocher Switzerland	10	76 0.8×	25 2.3×	19 1.7×	10 0.9×	4 0.4×	15	415
Marcus Schmidt Germany	11	135 1.4×	10 0.9×	11 1.0×	22 2.0×	6 0.6×	37	281
Franziska Mally Austria	7	40 0.4×	11 1.0×	5 0.5×	4 0.4×	5 0.5×	16	115
Vittorio Lippi Germany	7	82 0.9×	5 0.5×	14 1.3×	58 5.3×	15 1.5×	32	142
Dean Robinson Australia	6	20 0.2×	13 1.2×	7 0.6×	3 0.3×	13 1.3×	8	247
Yuki Inaba Japan	9	119 1.3×	5 0.5×	6 0.5×	23 2.1×	7 0.7×	24	242
Jo Clubb United Kingdom	6	49 0.5×	12 1.1×	10 0.9×	10 0.9×	10 1.0×	11	295
Adam Beard Switzerland	9	145 1.5×	6 0.5×	23 2.1×	24 2.2×	5 0.5×	13	438

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-authorship network of co-authors of J. Markowitz

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

All Works

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11 of 11 papers shown

Markowitz, J., et al.. (2023). A Risk-Sensitive Approach to Policy Optimization. Proceedings of the AAAI Conference on Artificial Intelligence. 37(12). 15019–15027. 1 indexed citations

Drenkow, Nathan, et al.. (2023). Semi-supervised domain transfer for robust maritime satellite image classification. 37–37. 1 indexed citations

Vallabha, Gautam K. & J. Markowitz. (2022). Lifelong learning for robust AI systems. 1–1. 1 indexed citations

Katyal, Kapil D., et al.. (2022). Learning a Group-Aware Policy for Robot Navigation. 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 11328–11335. 15 indexed citations

Markowitz, J., et al.. (2021). Deep CPT-RL: Imparting Human-Like Risk Sensitivity to Artificial Agents.. National Conference on Artificial Intelligence. 1 indexed citations

Gardner, Ryan W., et al.. (2019). The First International Competition in Machine Reconnaissance Blind Chess. 121–130. 2 indexed citations

Rosen, Michael A., Aaron S. Dietz, I-Jeng Wang, et al.. (2018). Sensor-based measurement of critical care nursing workload: Unobtrusive measures of nursing activity complement traditional task and patient level indicators of workload to predict perceived exertion. PLoS ONE. 13(10). e0204819–e0204819. 20 indexed citations

Markowitz, J., et al.. (2017). Hierarchical zero-shot classification with convolutional neural network features and semantic attribute learning. 10. 194–197. 2 indexed citations

Markowitz, J. & Hugh Herr. (2016). Human Leg Model Predicts Muscle Forces, States, and Energetics during Walking. PLoS Computational Biology. 12(5). e1004912–e1004912. 32 indexed citations

10.

Markowitz, J., et al.. (2011). Speed adaptation in a powered transtibial prosthesis controlled with a neuromuscular model. Philosophical Transactions of the Royal Society B Biological Sciences. 366(1570). 1621–1631. 67 indexed citations

11.

Markowitz, J., M. Zanolin, L. Cadonati, & E. Katsavounidis. (2008). Gravitational wave burst source direction estimation using time and amplitude information. Physical review. D. Particles, fields, gravitation, and cosmology. 78(12). 10 indexed citations

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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