Michael Landau

445 citations
10 papers · 339 indexed · h-index 6

Impact in

    • Atherosclerosis and Cardiovascular Diseases
    • Immune cells in cancer
    • T-cell and B-cell Immunology
    • Cell Adhesion Molecules Research

Papers in

Michael Landau

10 papers receiving 325 citations

Peers

Michael Landau
Comparison fields: 5 of 76
  • Immunology 172
  • Immunology and Allergy 28
  • Psychiatry and Mental health 48
  • Instrumentation 9
  • Computer Vision and Pattern Recognition 51
Replace Asif Mazumder with:
Asif Mazumder United Kingdom
Ashish Semwal India
SJ Li China
Neville Dastur United Kingdom
Yat Wa Wong Hong Kong
Do-Hyung Kim South Korea
Qi Bi China
Yuan Cao China
Neda Baniasadi United States
Bärbel Maus Netherlands
Michael Landau relative to Asif Mazumder United Kingdom Asif Mazumder's profile →
Citations per field
00.5×11.5×
Asif Mazumder · 1×
Citations per year

Countries citing papers authored by Michael Landau

Since Specialization
Citations

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

Fields of papers citing papers by Michael Landau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Michael Landau, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michael Landau Line = papers co-authored together Michael Landau links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 20161
2 201534
3 201428
4 20143
5 2012197
6 20103
7 20088
8 19911
9 198953
10 198711

About Michael Landau

Michael Landau is a scholar working on Computer Vision and Pattern Recognition, Geology, Immunology and Allergy, Aerospace Engineering and Pharmacology, having authored 10 papers that have together received 339 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (4 papers), Optical measurement and interference techniques (4 papers), Robotics and Sensor-Based Localization (4 papers), Musculoskeletal pain and rehabilitation (1 paper), Fibromyalgia and Chronic Fatigue Syndrome Research (1 paper), Immunotherapy and Immune Responses (1 paper), Otitis Media and Relapsing Polychondritis (1 paper) and Functional Brain Connectivity Studies (1 paper). The work is most often cited by research in Immunology (172 citations), Immunology and Allergy (28 citations), Psychiatry and Mental health (48 citations), Instrumentation (9 citations) and Computer Vision and Pattern Recognition (51 citations). Michael Landau has collaborated with scholars based in United States, Israel and Germany. Frequent co-authors include Peter A. Beling, Ekaterina K. Koltsova, Klaus Ley, Scott T. Acton, Sibylle von Vietinghoff, Zacarias Garcia, Sara McArdle, Grzegorz Chodaczek, Yury I. Miller and Mircea Sigal. Their work appears in journals such as IEEE Transactions on Computational Imaging, IEEE Transactions on Cybernetics, Psychotherapy and Psychosomatics, Sensors and Journal of Clinical Investigation.

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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