Frederick M. Howard

2.7k citations
52 papers · 1.3k indexed · 3 hit papers · h-index 16
Topics
Breast Cancer Treatment Studies (20 papers)Radiomics and Machine Learning in Medical Imaging (13 papers)Cancer Genomics and Diagnostics (12 papers)

In The Last Decade

Frederick M. Howard

48 papers receiving 1.2k citations

Hit Papers

Comparing scientific abstracts generated by ChatGPT ...2021202620222024202320212023100200300

Peers

Frederick M. Howard
Comparison fields: 5 of 123
  • Oncology 373
  • Artificial Intelligence 373
  • Radiology, Nuclear Medicine and Imaging 369
  • Health Informatics 356
  • Cancer Research 285
Replace Narmin Ghaffari Laleh with:
Narmin Ghaffari Laleh Germany
Travis Zack United States
Christopher Abbosh United Kingdom
Judy J. Wang United States
Robert MacDonald Australia
Adewole S. Adamson United States
Zunamys I. Carrero Germany
Alexander Enk Germany
Eva Krieghoff‐Henning Germany
Dyke Ferber Germany
Frederick M. Howard relative to Narmin Ghaffari Laleh Germany Narmin Ghaffari Laleh's profile →
Citations per field
00.5×5.2×
Narmin Ghaffari Laleh · 1×
Citations per year

Countries citing papers authored by Frederick M. Howard

Since Specialization
Citations

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

Fields of papers citing papers by Frederick M. Howard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Frederick M. Howard. 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 Frederick M. Howard. The network helps show where Frederick M. Howard may publish in the future.

Co-authorship network of co-authors of Frederick M. Howard

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

All Works

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#WorkIndexed citations
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About Frederick M. Howard

Frederick M. Howard is a scholar working on Health Informatics, Cancer Research and Oncology, having authored 52 papers that have together received 1.3k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (20 papers), Radiomics and Machine Learning in Medical Imaging (13 papers) and Cancer Genomics and Diagnostics (12 papers). The work is most often cited by research in Health Informatics (356 citations), Cancer Research (285 citations) and Radiology, Nuclear Medicine and Imaging (369 citations). Frederick M. Howard has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Olufunmilayo I. Olopade, Alexander T. Pearson, Catherine A. Gao, Emma Dyer, Siddhi Ramesh, Yuan Luo, Nikolay S. Markov, Rita Nanda, Sara Kochanny and Dezheng Huo. Their work appears in journals such as Nature Communications, Journal of Clinical Oncology and PLoS ONE.

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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