Mor Vered

24 papers receiving 211 citations

Peers

Mor Vered
Comparison fields: 5 of 79
  • Health Informatics 39
  • Neuropsychology and Physiological Psychology 7
  • Artificial Intelligence 135
  • Safety Research 24
  • Software 7
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Ashwin Kalyan United States
Marjan Ghazi Saeedi Iran
Izidor Mlakar Slovenia
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Rina Azoulay Israel
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Ivan Donadello Italy
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Countries citing papers authored by Mor Vered

Since Specialization
Citations

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

Fields of papers citing papers by Mor Vered

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202265
2
Online goal recognition through mirroring: humans and agents
201625
3 202321
4 201818
5 202314
6 201912
7 202011
8 201810
9 20247
10 20217
11 20245
12 20215
13 20244
14
Human centered explanation for goal recognition system.
20212
15
Online Goal Recognition as Reasoning over Landmarks
20182
16 20252
17
[Medical image enhancement: Sharpening].
20152
18 20251
19
Towards online goal recognition combining goal mirroring and landmarks: extended abstract
20181
20
Online recognition of navigation goals through goal mirroring: (extended abstract)
20171

About Mor Vered

Mor Vered is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Cardiology and Cardiovascular Medicine, Health and Social Psychology, having authored 24 papers that have together received 219 indexed citations. Recurring topics across this work include AI-based Problem Solving and Planning (9 papers), Robotic Path Planning Algorithms (6 papers), Logic, Reasoning, and Knowledge (4 papers), Reinforcement Learning in Robotics (3 papers), Cardiovascular Health and Risk Factors (3 papers), Cardiac Health and Mental Health (3 papers), Human-Automation Interaction and Safety (2 papers) and Explainable Artificial Intelligence (XAI) (2 papers). The work is most often cited by research in Health Informatics (39 citations), Neuropsychology and Physiological Psychology (7 citations), Artificial Intelligence (135 citations), Safety Research (24 citations) and Software (7 citations). Mor Vered has collaborated with scholars based in Australia, Israel and Brazil. Frequent co-authors include Gal A. Kaminka, Noa Agmon, Tim Miller, Ramon Fraga Pereira, Felipe Meneguzzi, Bárbara Barbosa Neves, Piers D. L. Howe, Alan Petersen, Adrian Carter and Liz Sonenberg. Their work appears in journals such as GeroScience, Journal of the American Geriatrics Society, IEEE Transactions on Human-Machine Systems, Journal of Medical Systems and IEEE Robotics and Automation Letters.

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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