Andrew Nam

761 citations
10 papers · 431 indexed · 1 hit paper · h-index 5
Topics
Artificial Intelligence in Healthcare and Education (3 papers)Radiomics and Machine Learning in Medical Imaging (2 papers)Medical Imaging and Analysis (2 papers)

In The Last Decade

Andrew Nam

9 papers receiving 411 citations

Hit Papers

Racial disparities in automated speech recognition20202026202220242020100200300

Peers

Andrew Nam
Comparison fields: 5 of 104
  • Artificial Intelligence 224
  • Safety Research 61
  • Health Informatics 47
  • Signal Processing 40
  • Sociology and Political Science 37
Replace Allison Koenecke with:
Allison Koenecke United States
Zion Mengesha United States
Lloyd A. Dawe United States
Eugenio Alberdi United Kingdom
Marios Constantinides United Kingdom
Marius Miron Spain
Tamara Tate United States
Valdemar Danry United States
Aaron Springer United States
Mike Schaekermann United States
Andrew Nam relative to Allison Koenecke United States Allison Koenecke's profile →
Citations per field
00.5×1.6×
Allison Koenecke · 1×
Citations per year

Countries citing papers authored by Andrew Nam

Since Specialization
Citations

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

Fields of papers citing papers by Andrew Nam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew Nam

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

All Works

10 of 10 papers shown
#WorkIndexed citations
1 3
2 2
3 46
4 16
5
Racial disparities in automated speech recognitionbreakdown →
353
6 1
7 1
8 0
9 5
10 4

About Andrew Nam

Andrew Nam is a scholar working on Health Informatics, General Social Sciences and Biophysics, having authored 10 papers that have together received 431 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare and Education (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Medical Imaging and Analysis (2 papers). The work is most often cited by research in Health Informatics (47 citations), Safety Research (61 citations) and Artificial Intelligence (224 citations). Andrew Nam has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Allison Koenecke, Zion Mengesha, Sharad Goel, Dan Jurafsky, John R. Rickford, Zachary A. Pardos, Nicola Maffulli, Manu Gupta, Ashim Gupta and Hugo C. Rodriguez. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Biological Psychiatry.

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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