Matthew Antalek

549 total citations
17 papers, 242 citations indexed

About

Matthew Antalek is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Epidemiology. According to data from OpenAlex, Matthew Antalek has authored 17 papers receiving a total of 242 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Pulmonary and Respiratory Medicine, 4 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Epidemiology. Recurrent topics in Matthew Antalek's work include Radiomics and Machine Learning in Medical Imaging (3 papers), AI in cancer detection (3 papers) and Hepatocellular Carcinoma Treatment and Prognosis (2 papers). Matthew Antalek is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (3 papers), AI in cancer detection (3 papers) and Hepatocellular Carcinoma Treatment and Prognosis (2 papers). Matthew Antalek collaborates with scholars based in United States, Philippines and Spain. Matthew Antalek's co-authors include Joseph M. Mylotte, Alan J. Lesse, M. Benfatto, Alexander M. Gorbach, E. Pace, Keith O. Hodgson, Britt Hedman, Gregory J. Kato, Ritimukta Sarangi and Giovanni Chillemi and has published in prestigious journals such as Circulation, The Journal of Chemical Physics and Blood.

In The Last Decade

Matthew Antalek

14 papers receiving 239 citations

Peers

Matthew Antalek
Comparison fields: 5 of 87
  • Infectious Diseases 54
  • Genetics 51
  • Epidemiology 49
  • Hematology 36
  • Atomic and Molecular Physics, and Optics 33
Replace Е. V. Kryukov with:
Е. V. Kryukov Russia
В. В. Мороз Russia
Laura‐Ann McGill United Kingdom
Zhengqing Yu China
Elżbieta Broniatowska Poland
J.M. Sanchez Torres Spain
Komal Chughtai United States
Maria Gemelli Italy
Paul David Harris United States
Е. V. Kryukov Russia View profile →
Citations per field, relative to Matthew Antalek
Matthew Antalek · 1×
Citations per year, relative to Matthew Antalek
Matthew Antalek · 1×

Countries citing papers authored by Matthew Antalek

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Antalek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Antalek

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

All Works

17 of 17 papers shown
# Work Indexed citations
1 0
2 0
3 12
4 0
5 9
6 12
7 5
8 19
9 1
10
Abstract 17440: Non-Invasive Classification of Pulmonary Hypertension Using 4D Flow MRI and Random Forests
1
11 45
12 6
13 13
14 55
15 28
16 28
17 8

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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