Mor Vered

554 citations
32 papers · 351 · h-index 11

Impact in

    • Artificial Intelligence in Healthcare and Education
    • AI-based Problem Solving and Planning
    • Explainable Artificial Intelligence (XAI)
    • Logic, Reasoning, and Knowledge

Papers in

Mor Vered

26 papers receiving 337 citations

Peers

Mor Vered
Comparison fields: 5 of 60
  • Health Informatics 33
  • Artificial Intelligence 205
  • Safety Research 37
  • Demography 21
  • Social Psychology 32
Replace Rina Azoulay with:
Rina Azoulay Israel
Sungdong Kim South Korea
Zhandos Zhumanov Kazakhstan
Matthias Kraus Germany
Özgür Kafalı United Kingdom
Madhulika Srikumar United States
Ramón López-Cózar Spain
Anthony Rios United States
Tjeerd Schoonderwoerd Netherlands
Kyo-Joong Oh South Korea
Mor Vered relative to Rina Azoulay Israel Rina Azoulay's profile →
Citations per field
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Rina Azoulay · 1×
Citations per year

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 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202287
2 201732
3 202332
4 202331
5
Online goal recognition through mirroring: humans and agents
201630
6 201819
7 201816
8 202016
9 201915
10 202414
11 202411
12 20218
13 20216
14 20246
15 20246
16 20256
17
Online Goal Recognition as Reasoning over Landmarks
20183
18 20253
19
Human centered explanation for goal recognition system.
20212
20 20232

About Mor Vered

Mor Vered is a scholar working on Artificial Intelligence, Health Information Management, Social Psychology, Computer Vision and Pattern Recognition and Safety Research, having authored 32 papers that have together received 351 indexed citations. Recurring topics across this work include AI-based Problem Solving and Planning (13 papers), Explainable Artificial Intelligence (XAI) (10 papers), Multi-Agent Systems and Negotiation (4 papers), Artificial Intelligence in Healthcare (3 papers), Reinforcement Learning in Robotics (2 papers), Robotic Path Planning Algorithms (2 papers), Cardiovascular Health and Risk Factors (2 papers) and Ethics and Social Impacts of AI (2 papers). The work is most often cited by research in Health Informatics (33 citations), Artificial Intelligence (205 citations), Safety Research (37 citations), Demography (21 citations) and Social Psychology (32 citations). Mor Vered has collaborated with scholars based in Australia, Israel and Saudi Arabia. Frequent co-authors include Gal A. Kaminka, Tim Miller, Bárbara Barbosa Neves, Alan R Petersen, Liz Sonenberg, Adrian Carter, Piers D. L. Howe, Ramon Fraga Pereira, Felipe Rech Meneguzzi and Noa Agmon. Their work appears in journals such as Journal of the American Geriatrics Society, Social Science & Medicine, Journal of Medical Systems, Artificial Intelligence and GeroScience.

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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