Andrew D. Smith

4.7k citations
117 papers · 3.2k indexed · 2 hit papers · h-index 28
Topics
Radiomics and Machine Learning in Medical Imaging (30 papers)Renal cell carcinoma treatment (26 papers)Renal and related cancers (14 papers)

In The Last Decade

Andrew D. Smith

111 papers receiving 3.2k citations

Hit Papers

CT Texture Analysis: Definitions, Applications, Biologic ...201720262020202320172019100200300400500

Peers

Andrew D. Smith
Comparison fields: 5 of 143
  • Radiology, Nuclear Medicine and Imaging 1.5k
  • Pulmonary and Respiratory Medicine 1.3k
  • Molecular Biology 659
  • Epidemiology 490
  • Oncology 446
Replace Apostolos H. Karantanas with:
Apostolos H. Karantanas Greece
Shigeru Kiryu Japan
Raul N. Uppot United States
Marc Zins France
Akira Yamamoto Japan
Meiyun Wang China
Sang Joon Park South Korea
Anton S. Becker Switzerland
Alexander Sauter Germany
Sadhna Verma United States
Andrew D. Smith relative to Apostolos H. Karantanas Greece Apostolos H. Karantanas's profile →
Citations per field
00.5×3.7×
Apostolos H. Karantanas · 1×
Citations per year

Countries citing papers authored by Andrew D. Smith

Since Specialization
Citations

This map shows the geographic impact of Andrew D. Smith'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. Smith 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. Smith more than expected).

Fields of papers citing papers by Andrew D. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew D. Smith. A scholar is included among the top collaborators of Andrew D. Smith 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. Smith. Andrew D. Smith 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 1
3 0
4 10
5 3
6 1
7 0
8 2
9 3
10 26
11 15
12 3
13
Bosniak Classification of Cystic Renal Masses, Version 2019: An Update Proposal and Needs Assessmentbreakdown →
290
14 9
15 15
16 29
17 173
18 28
19 23
20 56

About Andrew D. Smith

Andrew D. Smith is a scholar working on Health Informatics, Equine and Radiology, Nuclear Medicine and Imaging, having authored 117 papers that have together received 3.2k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (30 papers), Renal cell carcinoma treatment (26 papers) and Renal and related cancers (14 papers). The work is most often cited by research in Health Informatics (162 citations), Radiology, Nuclear Medicine and Imaging (1.5k citations) and Hepatology (388 citations). Andrew D. Smith has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Dushyant V. Sahani, Kumar Sandrasegaran, Perry J. Pickhardt, Meghan G. Lubner, Shetal N. Shah, Michael Lieber, Erick M. Remer, Asser Abou Elkassem, Brian I. Rini and Brian C. Allen. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and Neurology.

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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