Dina Janković

17 papers receiving 414 citations

Hit Papers

Economic analysis of the prevalence and clinical and economic burden of medication error in England 2020 · 207 citations
2070+2+4Years since publication50100150200

Peers

Dina Janković
Comparison fields: 5 of 91
  • Geriatrics and Gerontology 113
  • Emergency Medical Services 110
  • Family Practice 25
  • Medical Laboratory Technology 17
  • Health Information Management 42
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Pastora Pérez-Pérez Spain
Susan Bostwick United States
William A. Zellmer United States
Tiina Kortteisto Finland
Stephanie Taché United States
Helaine Carneiro Capucho Brazil
Alain Biron Canada
Márcio Galvão Oliveira Brazil
Nicolina Silvana Romano-Lieber Brazil
Hannah Family United Kingdom
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Citations per year

Countries citing papers authored by Dina Janković

Since Specialization
Citations

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

Fields of papers citing papers by Dina Janković

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1
Economic analysis of the prevalence and clinical and economic burden of medication error in England
Hit paper breakdown →
2020207
2 202146
3 202127
4 202222
5 201722
6 202021
7 201421
8 202119
9 202210
10 20168
11
Developing a reference protocol for expert elicitation in healthcare decision making
20195
12 20214
13 20224
14 20243
15 20232
16 20241
17 20231
18 20240
19 20250

About Dina Janković

Dina Janković is a scholar working on Economics and Econometrics, General Health Professions, Sociology and Political Science, Experimental and Cognitive Psychology and Applied Psychology, having authored 19 papers that have together received 423 indexed citations. Recurring topics across this work include Health Systems, Economic Evaluations, Quality of Life (8 papers), Delphi Technique in Research (5 papers), Mental Health Research Topics (4 papers), Digital Mental Health Interventions (4 papers), Healthcare cost, quality, practices (3 papers), Antibiotic Use and Resistance (3 papers), Parasite Biology and Host Interactions (2 papers) and Antibiotic Resistance in Bacteria (2 papers). The work is most often cited by research in Geriatrics and Gerontology (113 citations), Emergency Medical Services (110 citations), Family Practice (25 citations), Medical Laboratory Technology (17 citations) and Health Information Management (42 citations). Dina Janković has collaborated with scholars based in United Kingdom, Switzerland and Austria. Frequent co-authors include Mark Sculpher, Elizabeth Camacho, Rachel Elliott, Rita Faria, Laura Bojke, Marta Soares, Christopher Jackson, Abigail Colson, Alec Morton and Linda Sharples. Their work appears in journals such as Health Technology Assessment, Medical Decision Making, Applied Health Economics and Health Policy, BMJ Quality & Safety and BMJ Open.

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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