David Lieb

15 papers receiving 529 citations

Peers

David Lieb
Comparison fields: 5 of 101
  • Health, Toxicology and Mutagenesis 103
  • Aging 11
  • Computer Vision and Pattern Recognition 111
  • Immunology 98
  • Biochemistry 34
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Citations per year

Countries citing papers authored by David Lieb

Since Specialization
Citations

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

Fields of papers citing papers by David Lieb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside David Lieb, 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 David Lieb Line = papers co-authored together David Lieb links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 1975130
2 201996
3 202394
4 197588
5 200572
6 200764
7 197430
8 197516
9 202111
10 20208
11 20068
12 19747
13 20193
14 19932
15 20191
16 20200
17 20240
18 20250
19 20190

About David Lieb

David Lieb is a scholar working on Biomedical Engineering, Immunology, Molecular Biology, Computer Vision and Pattern Recognition and Oncology, having authored 19 papers that have together received 630 indexed citations. Recurring topics across this work include Advanced Chemical Sensor Technologies (4 papers), Cancer Genomics and Diagnostics (2 papers), interferon and immune responses (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Advanced Vision and Imaging (2 papers), Video Surveillance and Tracking Methods (2 papers), Robotics and Sensor-Based Localization (2 papers) and Advanced Proteomics Techniques and Applications (1 paper). The work is most often cited by research in Health, Toxicology and Mutagenesis (103 citations), Aging (11 citations), Computer Vision and Pattern Recognition (111 citations), Immunology (98 citations) and Biochemistry (34 citations). David Lieb has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include David H. Fine, F. Rufeh, Sebastian Thrun, David P. Rounbehler, Thomas Eisenhaure, Nir Hacohen, Raktima Raychowdhury, Yuk Yuen Lan, Christopher Garris and James Heather. Their work appears in journals such as Journal of Clinical Oncology, Analytical Letters, Cell, International Journal of Computer Vision and Analytical Chemistry.

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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