Sarah Grundy

526 citations
15 papers · 249 indexed · h-index 6
Topics
Biomedical and Engineering Education (6 papers)Engineering Education and Curriculum Development (6 papers)Experimental Learning in Engineering (4 papers)
Partner nations
Australia

In The Last Decade

Sarah Grundy

14 papers receiving 239 citations

Peers

Sarah Grundy
Comparison fields: 5 of 61
  • Health Informatics 104
  • Artificial Intelligence 61
  • Computer Science Applications 51
  • Education 41
  • Radiology, Nuclear Medicine and Imaging 35
Replace Marina Belkina with:
Marina Belkina Australia
Nguyễn Văn Hạnh Vietnam
Ricardo Thierry-Aguilera Mexico
Gyeong-Geon Lee South Korea
Kejiang Xiao China
Ilie Gligorea Romania
Bayode Ogunleye United Kingdom
Alwyn Vwen Yen Lee Singapore
Husni Mubarok Indonesia
Nour-eddine El Faddouli Morocco
Sarah Grundy relative to Marina Belkina Australia Marina Belkina's profile →
Citations per field
00.5×1.5×
Marina Belkina · 1×
Citations per year

Countries citing papers authored by Sarah Grundy

Since Specialization
Citations

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

Fields of papers citing papers by Sarah Grundy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sarah Grundy

This figure shows the co-authorship network connecting the top 25 collaborators of Sarah Grundy. A scholar is included among the top collaborators of Sarah Grundy 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 Sarah Grundy. Sarah Grundy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
#WorkIndexed citations
1 1
2 16
3 3
4 2
5 3
6 0
7 2
8 28
9 2
10 10
11 6
12 24
13 144
14 4
15 4

About Sarah Grundy

Sarah Grundy is a scholar working on Health Informatics, Media Technology and Architecture, having authored 15 papers that have together received 249 indexed citations. Recurring topics across this work include Biomedical and Engineering Education (6 papers), Engineering Education and Curriculum Development (6 papers) and Experimental Learning in Engineering (4 papers). The work is most often cited by research in Health Informatics (104 citations), Computer Science Applications (51 citations) and Energy Engineering and Power Technology (14 citations). Sarah Grundy has collaborated with scholars based in Australia. Frequent co-authors include Marina Belkina, Scott Daniel, Sarah Lyden, Rezwanul Haque, Ghulam Mubashar Hassan, Sasha Nikolic, Peter Neal, Rose Amal, Muhammad Haider Ali Khan and Tze Hao Tan. Their work appears in journals such as SHILAP Revista de lepidopterología, ACS Applied Materials & Interfaces and International Journal of Hydrogen Energy.

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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