Andrew D. Brown

923 total citations
35 papers, 588 citations indexed

About

Andrew D. Brown is a scholar working on Artificial Intelligence, Surgery and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Andrew D. Brown has authored 35 papers receiving a total of 588 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 9 papers in Surgery and 7 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Andrew D. Brown's work include Diagnosis and Treatment of Venous Diseases (6 papers), Venous Thromboembolism Diagnosis and Management (5 papers) and Birth, Development, and Health (5 papers). Andrew D. Brown is often cited by papers focused on Diagnosis and Treatment of Venous Diseases (6 papers), Venous Thromboembolism Diagnosis and Management (5 papers) and Birth, Development, and Health (5 papers). Andrew D. Brown collaborates with scholars based in Canada, United Kingdom and United States. Andrew D. Brown's co-authors include Thomas R. Marotta, Kathryn H. Weed, Jennifer P. Craig, Charles N. J. McGhee, Geoffrey E. Hinton, Barbara T. Alexander, John Henry Dasinger, Suttira Intapad, Nisha Sachdev and Brad C. Astor and has published in prestigious journals such as Hypertension, American Journal of Kidney Diseases and Journal of the American Medical Informatics Association.

In The Last Decade

Andrew D. Brown

30 papers receiving 545 citations

Peers

Andrew D. Brown
Comparison fields: 5 of 96
  • Radiology, Nuclear Medicine and Imaging 210
  • Pediatrics, Perinatology and Child Health 100
  • Epidemiology 97
  • Ophthalmology 91
  • Surgery 72
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Citations per field, relative to Andrew D. Brown
Andrew D. Brown · 1×
Citations per year, relative to Andrew D. Brown
Andrew D. Brown · 1×

Countries citing papers authored by Andrew D. Brown

Since Specialization
Citations

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

Fields of papers citing papers by Andrew D. Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew D. Brown. 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 Andrew D. Brown. The network helps show where Andrew D. Brown may publish in the future.

Co-authorship network of co-authors of Andrew D. Brown

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew D. Brown. A scholar is included among the top collaborators of Andrew D. Brown 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 Andrew D. Brown. Andrew D. Brown 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
# Work Indexed citations
1 0
2 2
3 0
4 3
5 11
6 1
7 2
8 23
9 13
10
No Effect of a Whey Growth Factor Extract during Resistance Training on Strength, Body Composition, or Hypertrophic Gene Expression in Resistance-Trained Young Men.
0
11 7
12 14
13 5
14 60
15 7
16
Relative Density Nets: A New Way to Combine Backpropagation with HMM's
1
17
Products of Hidden Markov Models.
18
18 41
19 80
20
Spiking Boltzmann Machines
23

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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