Conceição Granja

1.1k citations
22 papers · 550 indexed · 1 hit paper · h-index 7
Topics
Machine Learning in Healthcare (5 papers)Artificial Intelligence in Healthcare (5 papers)Electronic Health Records Systems (4 papers)
Partner nations
NorwaySpainPortugal

In The Last Decade

Conceição Granja

19 papers receiving 542 citations

Hit Papers

Factors Determining the Success and Failure of eHealth In...20182026202020232018100200300

Peers

Conceição Granja
Comparison fields: 5 of 98
  • General Health Professions 277
  • Public Health, Environmental and Occupational Health 141
  • Applied Psychology 113
  • Health Information Management 70
  • Emergency Medical Services 50
Replace Michelle Honey with:
Michelle Honey New Zealand
Aaron Neinstein United States
Frédéric Ehrler Switzerland
Nikolaos Mastellos United Kingdom
Michael Mileski United States
Jessica Baldwin United States
Arunangsu Chatterjee United Kingdom
Stan Kachnowski India
Mahmood Tara Iran
Jiancheng Ye United States
Conceição Granja relative to Michelle Honey New Zealand Michelle Honey's profile →
Citations per field
00.5×1.5×
Michelle Honey · 1×
Citations per year

Countries citing papers authored by Conceição Granja

Since Specialization
Citations

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

Fields of papers citing papers by Conceição Granja

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Conceição Granja

This figure shows the co-authorship network connecting the top 25 collaborators of Conceição Granja. A scholar is included among the top collaborators of Conceição Granja 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 Conceição Granja. Conceição Granja 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 3
2 3
3 0
4 1
5 5
6 0
7 1
8 0
9 11
10 80
11 2
12 2
13 9
14 16
15
Factors Determining the Success and Failure of eHealth Interventions: Systematic Review of the Literaturebreakdown →
354
16
Document-Driven Care Pathways Using HL7 CDA
2
17 1
18 42
19 5
20 6

About Conceição Granja

Conceição Granja is a scholar working on Health Information Management, Health Informatics and Applied Psychology, having authored 22 papers that have together received 550 indexed citations. Recurring topics across this work include Machine Learning in Healthcare (5 papers), Artificial Intelligence in Healthcare (5 papers) and Electronic Health Records Systems (4 papers). The work is most often cited by research in Applied Psychology (113 citations), Health Informatics (22 citations) and Health Information Management (70 citations). Conceição Granja has collaborated with scholars based in Norway, Spain and Portugal. Frequent co-authors include Monika Alise Johansen, Terje Solvoll, Cristina Soguero-Ruíz, Adélio Mendes, Bernardo Almada‐Lobo, Himar Fabelo, Ana M. Wägner, Thomas Schopf, Gustavo M. Callicó and Astrid Grøttland. Their work appears in journals such as IEEE Access, Journal of Medical Internet Research and Applied Sciences.

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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