Michael Lin

1.5k citations
2 papers · 242 indexed · h-index 2
Topics
Radiomics and Machine Learning in Medical Imaging (1 paper)Dementia and Cognitive Impairment Research (1 paper)Alzheimer's disease research and treatments (1 paper)
Journals
Academic RadiologyPubMed
Partner nations
United States

In The Last Decade

Michael Lin

2 papers receiving 237 citations

Peers

Michael Lin
Comparison fields: 5 of 49
  • Radiology, Nuclear Medicine and Imaging 131
  • Psychiatry and Mental health 80
  • Cognitive Neuroscience 65
  • Physiology 55
  • Cellular and Molecular Neuroscience 30
Replace Claire Labbé with:
Claire Labbé Switzerland
Szabolcs Dávid Netherlands
Inès Mérida France
Colin B. Hansen United States
Pierre Malick Koulibaly France
Ľubomír Vojtíšek Czechia
Benjamin Speidel United States
Sheelakumari Raghavan India
Louis Dieumegarde Canada
Salma Bougacha France
Michael Lin relative to Claire Labbé Switzerland Claire Labbé's profile →
Citations per field
00.5×
Claire Labbé · 1×
Citations per year

Countries citing papers authored by Michael Lin

Since Specialization
Citations

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

Fields of papers citing papers by Michael Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Lin

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

All Works

2 of 2 papers shown
#WorkIndexed citations
1 32
2
Comparative evaluation of MR-based partial-volume correction schemes for PET.
210

About Michael Lin

Michael Lin is a scholar working on Neurology, Psychiatry and Mental health and Radiology, Nuclear Medicine and Imaging, having authored 2 papers that have together received 242 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (1 paper), Dementia and Cognitive Impairment Research (1 paper) and Alzheimer's disease research and treatments (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (131 citations), Psychiatry and Mental health (80 citations) and Cognitive Neuroscience (65 citations). Michael Lin has collaborated with scholars based in United States. Frequent co-authors include Phil J. Greer, Carolyn C. Meltzer, Paul E. Kinahan, Thomas E. Nichols, Julie C. Price, Claude Comtat, Zhiyong Xie, Murray Grossman, Lijun Ding and Christian DeVita. Their work appears in journals such as Academic Radiology and PubMed.

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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