Natalie Savona

24 papers receiving 1.1k citations

Hit Papers

The need for a complex systems model of evidence for publ...201720262020202320172021200400600

Peers

Natalie Savona
Comparison fields: 5 of 112
  • General Health Professions 614
  • Public Health, Environmental and Occupational Health 285
  • Organizational Behavior and Human Resource Management 153
  • Health 143
  • Management Science and Operations Research 140
Replace Leah Frerichs with:
Leah Frerichs United States
Jo Bibby United Kingdom
Jillian Whelan Australia
Brent A. Langellier United States
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Janneke Harting Netherlands
Tarra L. Penney Canada
Melanie Pescud Australia
Jerry A. Schultz United States
Elizabeth McGill United Kingdom
Natalie Savona relative to Leah Frerichs United States Leah Frerichs's profile →
Citations per field
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Citations per year

Countries citing papers authored by Natalie Savona

Since Specialization
Citations

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

Fields of papers citing papers by Natalie Savona

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Natalie Savona

This figure shows the co-authorship network connecting the top 25 collaborators of Natalie Savona. A scholar is included among the top collaborators of Natalie Savona based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Natalie Savona. Natalie Savona is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 1
3 21
4 4
5 30
6 5
7 4
8 3
9 2
10 16
11 16
12 20
13 8
14
Evaluation of public health interventions from a complex systems perspective: A research methods reviewbreakdown →
131
15 19
16 17
17 48
18
NIHR SPHR Guidance on Systems Approaches to Local Public Health Evaluation. Part 2: What to consider when planning a systems evaluation
16
19
The need for a complex systems model of evidence for public healthbreakdown →
711
20 7

About Natalie Savona

Natalie Savona is a scholar working on Pharmacy, Organizational Behavior and Human Resource Management and General Health Professions, having authored 24 papers that have together received 1.1k indexed citations. Recurring topics across this work include Health Policy Implementation Science (13 papers), Community Health and Development (8 papers) and Global Public Health Policies and Epidemiology (7 papers). The work is most often cited by research in General Health Professions (614 citations), Health (143 citations) and Organizational Behavior and Human Resource Management (153 citations). Natalie Savona has collaborated with scholars based in United Kingdom, Norway and South Africa. Frequent co-authors include Harry Rutter, Steven Cummins, Martin White, Mark Petticrew, Diane T. Finegood, Ketevan Glonti, Penelope Hawe, Alan Shiell, Laurence Moore and Eva Rehfuess. Their work appears in journals such as The Lancet, Social Science & Medicine and International Journal of Environmental Research and Public 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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