Lauri Goodell

907 citations
26 papers · 620 indexed · h-index 16

Lauri Goodell

26 papers receiving 598 citations

Peers

Lauri Goodell
Comparison fields: 5 of 82
  • Biophysics 71
  • Health Informatics 11
  • Computer Vision and Pattern Recognition 137
  • Artificial Intelligence 183
  • Genetics 47
Replace Marcial García‐Rojo with:
Marcial García‐Rojo Spain
Sharath R. Cholleti United States
Yu‐Chiao Chiu United States
Joel H. Saltz United States
Elisa Ficarra Italy
Stephanie Robertson Sweden
Daniel Quang United States
Sheida Nabavi United States
Paul G. O’Reilly United Kingdom
Lauri Goodell relative to Marcial García‐Rojo Spain Marcial García‐Rojo's profile →
Citations per field
00.5×1.5×2.4×
Marcial García‐Rojo · 1×
Citations per year

Countries citing papers authored by Lauri Goodell

Since Specialization
Citations

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

Fields of papers citing papers by Lauri Goodell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201627
2 201427
3 201415
4 201422
5 201317
6 201273
7 20126
8 201150
9 200934
10 200934
11 200512
12 20054
13 200542
14 200515
15 20027
16 20021
17 200059
18 20004
19 199920
20 19962

About Lauri Goodell

Lauri Goodell is a scholar working on Biophysics, Cell Biology, Oncology, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 26 papers that have together received 620 indexed citations. Recurring topics across this work include AI in cancer detection (7 papers), Cellular Mechanics and Interactions (5 papers), Force Microscopy Techniques and Applications (4 papers), Image Retrieval and Classification Techniques (4 papers), CAR-T cell therapy research (3 papers), Biomedical Text Mining and Ontologies (3 papers), Synthetic Organic Chemistry Methods (3 papers) and Microfluidic and Bio-sensing Technologies (3 papers). The work is most often cited by research in Biophysics (71 citations), Health Informatics (11 citations), Computer Vision and Pattern Recognition (137 citations), Artificial Intelligence (183 citations) and Genetics (47 citations). Lauri Goodell has collaborated with scholars based in United States, Sweden and United Kingdom. Frequent co-authors include Wenjin Chen, David J. Foran, Roger Strair, Peter Meer, Arnold B. Rabson, Daniel Medina, Jaydev P. Desai, Dorin Comaniciu, John Glod and Céline Gélinas. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, IEEE Transactions on Automation Science and Engineering, Clinical Cancer Research, BMC Bioinformatics and Leukemia Research.

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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