Maya Siman‐Tov

1.4k citations
65 papers · 956 · h-index 19

Impact in

Papers in

Maya Siman‐Tov

59 papers receiving 934 citations

Peers

Maya Siman‐Tov
Comparison fields: 5 of 119
  • Emergency Medicine 155
  • Critical Care and Intensive Care Medicine 70
  • Research and Theory 12
  • Transportation 75
  • Safety, Risk, Reliability and Quality 86
Replace Irina Radomislensky with:
Irina Radomislensky Israel
David S. Shapiro United States
Catherine A. Staton United States
Nagesh N. Borse United States
Masao Ichikawa Japan
Bridget Kool New Zealand
Jayraan Badiee United States
Jagnoor Jagnoor Australia
David Ballester Ferrando Spain
William G. Fernandez United States
Maya Siman‐Tov relative to Irina Radomislensky Israel Irina Radomislensky's profile →
Citations per field
00.5×
Irina Radomislensky · 1×
Citations per year

Countries citing papers authored by Maya Siman‐Tov

Since Specialization
Citations

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

Fields of papers citing papers by Maya Siman‐Tov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maya Siman‐Tov. 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 Maya Siman‐Tov. The network helps show where Maya Siman‐Tov may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201693
2 201560
3 201046
4 201745
5 201241
6 201440
7 202037
8 201732
9 202028
10 201826
11 202125
12 201524
13 202124
14 202123
15 201723
16 202123
17 201822
18 201819
19 201318
20 201616

About Maya Siman‐Tov

Maya Siman‐Tov is a scholar working on Clinical Psychology, Emergency Medicine, Public Health, Environmental and Occupational Health, General Health Professions and Sociology and Political Science, having authored 65 papers that have together received 956 indexed citations. Recurring topics across this work include Trauma and Emergency Care Studies (11 papers), COVID-19 and Mental Health (7 papers), Resilience and Mental Health (5 papers), Injury Epidemiology and Prevention (4 papers), Disaster Response and Management (4 papers), Migration, Health and Trauma (4 papers), Healthcare professionals’ stress and burnout (3 papers) and Traffic and Road Safety (3 papers). The work is most often cited by research in Emergency Medicine (155 citations), Critical Care and Intensive Care Medicine (70 citations), Research and Theory (12 citations), Transportation (75 citations) and Safety, Risk, Reliability and Quality (86 citations). Maya Siman‐Tov has collaborated with scholars based in Israel, Belgium and United States. Frequent co-authors include Kobi Peleg, Irina Radomislensky, Moran Bodas, Bruria Adini, Eli Jaffe, Arielle Kaim, Shulamith Kreitler, Dena H. Jaffe, Zahava Solomon and Elon Glassberg. Their work appears in journals such as The American Journal of Emergency Medicine, International Journal of Environmental Research and Public Health, Injury, International Journal of Disaster Risk Reduction and Traffic Injury Prevention.

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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