David Melnick

3.2k total citations
3 papers, 77 citations indexed

About

David Melnick is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine. According to data from OpenAlex, David Melnick has authored 3 papers receiving a total of 77 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Radiology, Nuclear Medicine and Imaging, 1 paper in Cardiology and Cardiovascular Medicine and 1 paper in Pulmonary and Respiratory Medicine. Recurrent topics in David Melnick's work include COVID-19 diagnosis using AI (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper) and Health Systems, Economic Evaluations, Quality of Life (1 paper). David Melnick is often cited by papers focused on COVID-19 diagnosis using AI (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper) and Health Systems, Economic Evaluations, Quality of Life (1 paper). David Melnick collaborates with scholars based in United States. David Melnick's co-authors include Mozziyar Etemadi, Michael P. Thompson, Timothy M. Loftus, Sanjeev Malik, John Bailitz, Matthew T. Wittbrodt, Jonathan Huang, J. Alex Heller, Florencia Garcia-Vicente and Shravya Shetty and has published in prestigious journals such as Radiology and JAMA Network Open.

In The Last Decade

David Melnick

2 papers receiving 76 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
David Melnick United States 2 46 45 22 10 5 3 77
Pierre Elnajjar United States 5 58 1.3× 47 1.0× 25 1.1× 20 2.0× 8 1.6× 8 105
Daniel Santos Germany 3 30 0.7× 36 0.8× 14 0.6× 12 1.2× 4 0.8× 6 65
Kevin Lyman United States 2 50 1.1× 46 1.0× 26 1.2× 19 1.9× 2 0.4× 2 90
N. V. Ledikhova Russia 6 52 1.1× 24 0.5× 17 0.8× 19 1.9× 14 2.8× 16 81
Yasmin McQuinlan United Kingdom 3 40 0.9× 36 0.8× 13 0.6× 7 0.7× 4 0.8× 5 58
Brad Genereaux United States 5 75 1.6× 60 1.3× 34 1.5× 16 1.6× 21 4.2× 7 110
Yazan Chaiah Saudi Arabia 2 59 1.3× 96 2.1× 35 1.6× 7 0.7× 3 0.6× 5 114
Alexander Chowdhury United Kingdom 4 27 0.6× 15 0.3× 48 2.2× 6 0.6× 13 2.6× 4 89
Diana Mincu United Kingdom 4 12 0.3× 33 0.7× 37 1.7× 11 1.1× 4 0.8× 5 87
Bryan Lim Australia 5 20 0.4× 38 0.8× 19 0.9× 2 0.2× 5 1.0× 10 78

Countries citing papers authored by David Melnick

Since Specialization
Citations

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

Fields of papers citing papers by David Melnick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Melnick

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

All Works

3 of 3 papers shown
1.
Huang, Jonathan, Matthew T. Wittbrodt, David Melnick, et al.. (2023). Generative Artificial Intelligence for Chest Radiograph Interpretation in the Emergency Department. JAMA Network Open. 6(10). e2336100–e2336100. 47 indexed citations
2.
Chen, Christina, Aaron Sarna, Charles T. Lau, et al.. (2022). Simplified Transfer Learning for Chest Radiography Models Using Less Data. Radiology. 305(2). 454–465. 30 indexed citations
3.

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Pierre Elnajjar Breakdown of academic impact, for papers by Daniel Santos Breakdown of academic impact, for papers by Kevin Lyman Breakdown of academic impact, for papers by N. V. Ledikhova Breakdown of academic impact, for papers by Yasmin McQuinlan Breakdown of academic impact, for papers by Brad Genereaux Breakdown of academic impact, for papers by Yazan Chaiah Breakdown of academic impact, for papers by Alexander Chowdhury Breakdown of academic impact, for papers by Diana Mincu Breakdown of academic impact, for papers by Bryan Lim
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2026