Lisa C. Adams

6.2k citations
133 papers · 2.1k indexed · 1 hit paper · h-index 26
Topics
Artificial Intelligence in Healthcare and Education (33 papers)Radiomics and Machine Learning in Medical Imaging (23 papers)MRI in cancer diagnosis (18 papers)

In The Last Decade

Lisa C. Adams

116 papers receiving 2.1k citations

Hit Papers

Current applications and challenges in large language mod...2025202620251020304050

Peers

Lisa C. Adams
Comparison fields: 5 of 158
  • Radiology, Nuclear Medicine and Imaging 735
  • Health Informatics 427
  • Pulmonary and Respiratory Medicine 317
  • Artificial Intelligence 306
  • Surgery 262
Replace Keno K. Bressem with:
Keno K. Bressem Germany
Sergios Gatidis Germany
Matthew Li United States
Omar Arnaout United States
Hari Trivedi United States
Livia Faes United Kingdom
Dun Jack Fu United Kingdom
Lucian Beer Austria
Joseph R. Ledsam United Kingdom
Hamed Asadi Australia
Lisa C. Adams relative to Keno K. Bressem Germany Keno K. Bressem's profile →
Citations per field
00.5×10×15×22×
Keno K. Bressem · 1×
Citations per year

Countries citing papers authored by Lisa C. Adams

Since Specialization
Citations

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

Fields of papers citing papers by Lisa C. Adams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lisa C. Adams. 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 Lisa C. Adams. The network helps show where Lisa C. Adams may publish in the future.

Co-authorship network of co-authors of Lisa C. Adams

This figure shows the co-authorship network connecting the top 25 collaborators of Lisa C. Adams. A scholar is included among the top collaborators of Lisa C. Adams 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 Lisa C. Adams. Lisa C. Adams 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 0
2 1
3 0
4 0
5 0
6 0
7 0
8 1
9 1
10 6
11 9
12 16
13 34
14 27
15 2
16 44
17 49
18 118
19 1
20 11

About Lisa C. Adams

Lisa C. Adams is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging and Family Practice, having authored 133 papers that have together received 2.1k indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare and Education (33 papers), Radiomics and Machine Learning in Medical Imaging (23 papers) and MRI in cancer diagnosis (18 papers). The work is most often cited by research in Health Informatics (427 citations), Radiology, Nuclear Medicine and Imaging (735 citations) and Family Practice (30 citations). Lisa C. Adams has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Keno K. Bressem, Marcus R. Makowski, Bernd Hamm, Stefan M. Niehues, Felix Busch, Daniel Truhn, Janis L. Vahldiek, Avan Kader, Robert L. Gendron and Moritz Wagner. Their work appears in journals such as JAMA, Nature Communications and Bioinformatics.

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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