Jessica Gronsbell

927 citations
25 papers · 423 indexed · h-index 11
Topics
Biomedical Text Mining and Ontologies (8 papers)Machine Learning in Healthcare (7 papers)COVID-19 and healthcare impacts (5 papers)
Partner nations
CanadaUnited StatesChina

In The Last Decade

Jessica Gronsbell

23 papers receiving 420 citations

Peers

Jessica Gronsbell
Comparison fields: 5 of 87
  • Artificial Intelligence 149
  • Molecular Biology 102
  • Oncology 77
  • General Health Professions 60
  • Health Information Management 57
Replace Leonard DʼAvolio with:
Leonard DʼAvolio United States
Jana K. Shirey-Rice United States
Natalie Fitzpatrick United Kingdom
Anna Ostropolets United States
Elliot G. Arsoniadis United States
Sandra F. Jones United States
Enrico Longato Italy
Evan Sholle United States
Hanieh Razzaghi United States
Ljiljana Trtica Majnarić Croatia
Jessica Gronsbell relative to Leonard DʼAvolio United States Leonard DʼAvolio's profile →
Citations per field
00.5×4.4×
Leonard DʼAvolio · 1×
Citations per year

Countries citing papers authored by Jessica Gronsbell

Since Specialization
Citations

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

Fields of papers citing papers by Jessica Gronsbell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jessica Gronsbell

This figure shows the co-authorship network connecting the top 25 collaborators of Jessica Gronsbell. A scholar is included among the top collaborators of Jessica Gronsbell 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 Jessica Gronsbell. Jessica Gronsbell 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 1
2 0
3 1
4 0
5 6
6 8
7 1
8 55
9 3
10 40
11 2
12 16
13 1
14 4
15 58
16 25
17 56
18 12
19 19
20 4

About Jessica Gronsbell

Jessica Gronsbell is a scholar working on Health Information Management, Health Informatics and Statistics and Probability, having authored 25 papers that have together received 423 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (8 papers), Machine Learning in Healthcare (7 papers) and COVID-19 and healthcare impacts (5 papers). The work is most often cited by research in Health Information Management (57 citations), Health Informatics (14 citations) and Artificial Intelligence (149 citations). Jessica Gronsbell has collaborated with scholars based in Canada, United States and China. Frequent co-authors include Tianxi Cai, Karen Tu, Ellen Stephenson, Katherine P. Liao, Paul Varghese, Sheng Yu, Braden O’Neill, Noah Crampton, Debra A. Butt and Tianrun Cai. Their work appears in journals such as Nature Genetics, PLoS ONE and Radiology.

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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