Leona Cilar

1.1k citations
35 papers · 638 indexed · 1 hit paper · h-index 12

Leona Cilar

30 papers receiving 611 citations

Hit Papers

Early detection of type 2 diabetes mellitus using machine...227202020262022202450100150200

Peers

Leona Cilar
Comparison fields: 5 of 114
  • Health Information Management 171
  • Health Informatics 27
  • Research and Theory 9
  • Applied Psychology 46
  • Leadership and Management 9
Replace Nadiah A. Baghdadi with:
Nadiah A. Baghdadi Saudi Arabia
Tracie Risling Canada
Jeeyae Choi United States
Lucija Gosak Slovenia
Sally Mohammed Farghaly Abdelaliem Saudi Arabia
Susan McBride United States
Han Shi Jocelyn Chew Singapore
Luke Woodham United Kingdom
Nahid Zarifsanaiey Iran
Carmen Ropero‐Padilla Spain
Leona Cilar relative to Nadiah A. Baghdadi Saudi Arabia Nadiah A. Baghdadi's profile →
Citations per field
00.5×6.3×
Nadiah A. Baghdadi · 1×
Citations per year

Countries citing papers authored by Leona Cilar

Since Specialization
Citations

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

Fields of papers citing papers by Leona Cilar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20251
3 20251
4 20250
5 20230
6 202324
7 20232
8 202233
9 20224
10 202224
11 20213
12 20217
13 20212
14 202048
15 20201
16 202036
17 20209
18 201930
19 201862
20 20179

About Leona Cilar

Leona Cilar is a scholar working on Leadership and Management, Research and Theory and Applied Psychology, having authored 35 papers that have together received 638 indexed citations. Recurring topics across this work include Digital Mental Health Interventions (5 papers), Psychological Well-being and Life Satisfaction (4 papers), Healthcare professionals’ stress and burnout (4 papers), Mobile Health and mHealth Applications (4 papers), Child and Adolescent Psychosocial and Emotional Development (3 papers), Resilience and Mental Health (3 papers), Artificial Intelligence in Healthcare (3 papers) and Machine Learning in Healthcare (3 papers). The work is most often cited by research in Health Information Management (171 citations), Health Informatics (27 citations) and Research and Theory (9 citations). Leona Cilar has collaborated with scholars based in Slovenia, United Kingdom and United States. Frequent co-authors include Gregor Štiglic, Aziz Sheikh, Primož Kocbek, Leon Kopitar, Majda Pajnkihar, Lucija Gosak, Owen Barr, Dominika Vrbnjak, Nino Fijačko and Roger Watson. Their work appears in journals such as Scientific Reports, Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery, Nurse Education Today, Journal of Nursing Management and Research in Nursing & 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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