Anna Bonmatí-Tomàs

16 papers receiving 302 citations

Peers

Anna Bonmatí-Tomàs
Comparison fields: 5 of 68
  • Research and Theory 16
  • Neuropsychology and Physiological Psychology 15
  • General Health Professions 108
  • Issues, ethics and legal aspects 5
  • Health 26
Replace María del Carmen Malagón-Aguilera with:
María del Carmen Malagón-Aguilera Spain
Cristina Bosch‐Farré Spain
Tariq Al‐Dwaikat Jordan
Kay Shannon New Zealand
Sienna Caspar Canada
Montserrat Puig Llobet Spain
Eva Ericson‐Lidman Sweden
António Manuel Fonseca Portugal
Boris Miha Kaučič Slovenia
Wanda Bonnel United States
Anna Bonmatí-Tomàs relative to María del Carmen Malagón-Aguilera Spain María del Carmen Malagón-Aguilera's profile →
Citations per field
00.5×1.5×
María del Carmen Malagón-Aguilera · 1×
Citations per year

Countries citing papers authored by Anna Bonmatí-Tomàs

Since Specialization
Citations

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

Fields of papers citing papers by Anna Bonmatí-Tomàs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anna Bonmatí-Tomàs. 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 Anna Bonmatí-Tomàs. The network helps show where Anna Bonmatí-Tomàs may publish in the future.

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 202064
2 201846
3 201937
4 201628
5 202023
6 201917
7 201616
8 201816
9 201215
10 202014
11 201613
12 202010
13 20215
14 20223
15 20223
16 20242

About Anna Bonmatí-Tomàs

Anna Bonmatí-Tomàs is a scholar working on General Health Professions, Public Health, Environmental and Occupational Health, Speech and Hearing, Education and Health, having authored 16 papers that have together received 312 indexed citations. Recurring topics across this work include Health, psychology, and well-being (5 papers), School Health and Nursing Education (2 papers), Innovations in Medical Education (2 papers), Simulation-Based Education in Healthcare (1 paper), Healthcare professionals’ stress and burnout (1 paper), Nursing education and management (1 paper), Education, Leadership, and Health Research (1 paper) and Health and Well-being Studies (1 paper). The work is most often cited by research in Research and Theory (16 citations), Neuropsychology and Physiological Psychology (15 citations), General Health Professions (108 citations), Issues, ethics and legal aspects (5 citations) and Health (26 citations). Anna Bonmatí-Tomàs has collaborated with scholars based in Spain, Netherlands and Italy. Frequent co-authors include Cristina Bosch‐Farré, María del Carmen Malagón-Aguilera, Dolors Juvinyà Canal, David Ballester Ferrando, Concepció Fuentes‐Pumarola, Rosa Suñer Soler, Carme Bertran‐Noguer, Rosario Fernández‐Peña, Marta Raurell‐Torredà and Josep Garre‐Olmo. Their work appears in journals such as International Journal of Environmental Research and Public Health, Nurse Education Today, Clinical Simulation in Nursing, Globalization and Health and International Journal for Equity in Health.

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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