Matthew P. Horning

903 citations
14 papers · 498 indexed · h-index 9
Topics
Digital Imaging for Blood Diseases (4 papers)Mosquito-borne diseases and control (4 papers)AI in cancer detection (4 papers)

In The Last Decade

Matthew P. Horning

14 papers receiving 484 citations

Peers

Matthew P. Horning
Comparison fields: 5 of 88
  • Epidemiology 185
  • Artificial Intelligence 174
  • Radiology, Nuclear Medicine and Imaging 91
  • Oncology 82
  • Biomedical Engineering 80
Replace Mayoore S. Jaiswal with:
Mayoore S. Jaiswal United States
Emma Simmons United States
Amanda Lowe United States
Brady Hunt United States
Jenna L. Mueller United States
Pu-Xuan Lu China
Kaku Tamura Japan
H Kozłowski Canada
Pranav Kadhiresan Canada
Buddhisha Udugama Canada
Matthew P. Horning relative to Mayoore S. Jaiswal United States Mayoore S. Jaiswal's profile →
Citations per field
00.5×
Mayoore S. Jaiswal · 1×
Citations per year

Countries citing papers authored by Matthew P. Horning

Since Specialization
Citations

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

Fields of papers citing papers by Matthew P. Horning

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew P. Horning. 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 Matthew P. Horning. The network helps show where Matthew P. Horning may publish in the future.

Co-authorship network of co-authors of Matthew P. Horning

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

All Works

14 of 14 papers shown
#WorkIndexed citations
1 3
2 5
3 5
4 8
5 18
6 21
7 258
8 32
9 34
10 18
11 33
12 26
13 2
14 35

About Matthew P. Horning

Matthew P. Horning is a scholar working on Ecological Modeling, Computer Vision and Pattern Recognition and Critical Care and Intensive Care Medicine, having authored 14 papers that have together received 498 indexed citations. Recurring topics across this work include Digital Imaging for Blood Diseases (4 papers), Mosquito-borne diseases and control (4 papers) and AI in cancer detection (4 papers). The work is most often cited by research in Health Informatics (30 citations), Artificial Intelligence (174 citations) and Epidemiology (185 citations). Matthew P. Horning has collaborated with scholars based in United States, Nigeria and Australia. Frequent co-authors include Benjamin Wilson, Charles B. Delahunt, Rolando Herrero, Brian Befano, Kai Yu, Benjamin Wilson, Mayoore S. Jaiswal, Liming Hu, Sameer Antani and Zhiyun Xue. Their work appears in journals such as Applied Physics Letters, JNCI Journal of the National Cancer Institute and Optics Express.

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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