Heather Mattie

72 total papers · 1.3k total citations
25 papers, 728 citations indexed

About

Heather Mattie is a scholar working on Health Informatics, Epidemiology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Heather Mattie has authored 25 papers receiving a total of 728 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Health Informatics, 6 papers in Epidemiology and 5 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Heather Mattie's work include Artificial Intelligence in Healthcare and Education (6 papers), Machine Learning in Healthcare (4 papers) and Sepsis Diagnosis and Treatment (3 papers). Heather Mattie is often cited by papers focused on Artificial Intelligence in Healthcare and Education (6 papers), Machine Learning in Healthcare (4 papers) and Sepsis Diagnosis and Treatment (3 papers). Heather Mattie collaborates with scholars based in United States, United Kingdom and Singapore. Heather Mattie's co-authors include Trishan Panch, Leo Anthony Celi, Rifat Atun, Rich Ling, Judy Wawira Gichoya, Christopher S. Martin, Kenth Engø‐Monsen, David J. Stone, Rahuldeb Sarkar and Jukka‐Pekka Onnela and has published in prestigious journals such as Nature, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Heather Mattie

22 papers receiving 703 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Heather Mattie 324 222 139 101 91 25 728
Michael Gao 246 0.8× 255 1.1× 119 0.9× 112 1.1× 104 1.1× 39 860
D. Douglas Miller 312 1.0× 203 0.9× 273 2.0× 101 1.0× 74 0.8× 23 823
Armando Bedoya 208 0.6× 221 1.0× 67 0.5× 94 0.9× 78 0.9× 33 711
Sonoo Thadaney-Israni 297 0.9× 226 1.0× 126 0.9× 103 1.0× 112 1.2× 6 626
Bilal A. Mateen 162 0.5× 137 0.6× 110 0.8× 55 0.5× 108 1.2× 42 895
Raffaele Rasoini 246 0.8× 221 1.0× 161 1.2× 96 1.0× 90 1.0× 8 710
Marshall Nichols 152 0.5× 198 0.9× 69 0.5× 78 0.8× 93 1.0× 23 701
Milap Shah 339 1.0× 153 0.7× 197 1.4× 48 0.5× 120 1.3× 35 887
Komal Smriti 292 0.9× 141 0.6× 146 1.1× 56 0.6× 101 1.1× 43 837
Martin Sepulveda 228 0.7× 190 0.9× 120 0.9× 118 1.2× 113 1.2× 31 814

Countries citing papers authored by Heather Mattie

Since Specialization
Citations

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

Fields of papers citing papers by Heather Mattie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Heather Mattie

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

All Works

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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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