Matthew J. Stephens

13.1k total citations · 1 hit paper
20 papers, 8.9k citations indexed

About

Matthew J. Stephens is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Matthew J. Stephens has authored 20 papers receiving a total of 8.9k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Pulmonary and Respiratory Medicine and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Matthew J. Stephens's work include Radiomics and Machine Learning in Medical Imaging (4 papers), Lung Cancer Diagnosis and Treatment (4 papers) and Biomedical Text Mining and Ontologies (3 papers). Matthew J. Stephens is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (4 papers), Lung Cancer Diagnosis and Treatment (4 papers) and Biomedical Text Mining and Ontologies (3 papers). Matthew J. Stephens collaborates with scholars based in United States, Switzerland and Mexico. Matthew J. Stephens's co-authors include Chris Harris, Mathew Palakal, Jeanette N. McClintick, Howard J. Edenberg, S. Mukhopadhyay, Javed Mostafa, Milton W. Taylor, Francisco J. García-Dé León, Donald C. Morizot and Steven Kazianis and has published in prestigious journals such as Journal of Virology, Journal of Clinical Microbiology and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

Matthew J. Stephens

19 papers receiving 8.1k citations

Hit Papers

A Combined Corner and Edge Detector 1988 2026 2000 2013 1988 2.5k 5.0k 7.5k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Matthew J. Stephens United States 10 7.1k 3.9k 990 557 545 20 8.9k
Herbert Bay Switzerland 6 7.6k 1.1× 4.1k 1.1× 1.0k 1.1× 632 1.1× 642 1.2× 7 9.4k
Chris Harris United States 10 7.3k 1.0× 4.0k 1.0× 1.0k 1.0× 573 1.0× 487 0.9× 25 8.9k
Tomáš Pajdla Czechia 40 8.5k 1.2× 4.9k 1.3× 1.3k 1.3× 941 1.7× 685 1.3× 158 10.1k
Andreas Ess Switzerland 13 9.6k 1.4× 4.4k 1.1× 1.1k 1.1× 643 1.2× 1.4k 2.5× 19 11.7k
Hujun Bao China 55 7.6k 1.1× 2.6k 0.7× 665 0.7× 861 1.5× 718 1.3× 381 11.6k
Ondřej Chum Czechia 27 9.6k 1.4× 4.1k 1.1× 1.3k 1.3× 481 0.9× 1.3k 2.4× 63 10.7k
Gary Bradski United States 28 8.9k 1.3× 5.7k 1.5× 779 0.8× 1.2k 2.2× 1.1k 2.1× 47 13.1k
Vincent Lepetit Switzerland 47 9.8k 1.4× 6.3k 1.6× 702 0.7× 1.2k 2.2× 857 1.6× 151 11.9k
Emanuele Trucco United Kingdom 42 4.2k 0.6× 1.2k 0.3× 694 0.7× 496 0.9× 547 1.0× 241 7.9k
Stefano Soatto United States 51 8.5k 1.2× 2.7k 0.7× 1.4k 1.4× 473 0.8× 2.1k 3.8× 275 11.0k

Countries citing papers authored by Matthew J. Stephens

Since Specialization
Citations

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

Fields of papers citing papers by Matthew J. Stephens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew J. Stephens. 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 Matthew J. Stephens. The network helps show where Matthew J. Stephens may publish in the future.

Co-authorship network of co-authors of Matthew J. Stephens

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

All Works

20 of 20 papers shown
2.
Blischak, John, Peter Carbonetto, & Matthew J. Stephens. (2020). A Framework for Reproducible and Collaborative Data Science [R package workflowr version 1.6.2]. 1 indexed citations
3.
Stephens, Matthew J., et al.. (2019). Identification of Nonaggressive Pulmonary Nodules Using an Optimized Scoring System. Journal of Thoracic Imaging. 34(3). 170–178. 5 indexed citations
4.
Uthoff, Johanna, Matthew J. Stephens, John D. Newell, et al.. (2019). Machine learning approach for distinguishing malignant and benign lung nodules utilizing standardized perinodular parenchymal features from CT. Medical Physics. 46(7). 3207–3216. 65 indexed citations
5.
Billeter, Adrian T., Frank B. Miller, Brian G. Harbrecht, et al.. (2014). Interhospital transfer of blunt multiply injured patients to a level 1 trauma center does not adversely affect outcome. The American Journal of Surgery. 207(4). 459–466. 17 indexed citations
6.
Stephens, Matthew J., et al.. (2011). Variability in drug formularies and implications in decision support.. PubMed. 2011. 1327–36. 3 indexed citations
7.
Henderson, M., Matthew J. Stephens, D.J. Hoopes, et al.. (2010). A Pilot Trial of Serial Ventilation and Perfusion Imaging in Patients with Medically Inoperable Stage I Non-small Cell Lung Cancer Treated with Stereotactic Body Radiotherapy. International Journal of Radiation Oncology*Biology*Physics. 78(3). S511–S512. 1 indexed citations
8.
Taylor, Milton W., Leonid Brodsky, Matthew J. Stephens, et al.. (2007). Changes in Gene Expression during Pegylated Interferon and Ribavirin Therapy of Chronic Hepatitis C Virus Distinguish Responders from Nonresponders to Antiviral Therapy. Journal of Virology. 81(7). 3391–3401. 96 indexed citations
9.
Taylor, Milton W., W. M. Grosse, Xiaoning Wu, et al.. (2004). Global Effect of PEG-IFN- α and Ribavirin on Gene Expression in PBMC In Vitro. Journal of Interferon & Cytokine Research. 24(2). 107–118. 72 indexed citations
10.
Edenberg, Howard J., Wendy N. Strother, Jeanette N. McClintick, et al.. (2004). Gene expression in the hippocampus of inbred alcohol‐preferring and ‐nonpreferring rats. Genes Brain & Behavior. 4(1). 20–30. 54 indexed citations
11.
Laing, Carlo R., et al.. (2004). A Spiking Model for Binocular Rivalry. 2 indexed citations
12.
Palakal, Mathew, et al.. (2003). A multi-level text mining method to extract biological relationships. PubMed. 1. 97–108. 20 indexed citations
13.
Breese, Marcus R., et al.. (2003). Labrat LIMS. 103–108. 2 indexed citations
14.
Rosenthal, Gil G., Steven Kazianis, Matthew J. Stephens, et al.. (2003). Dissolution of Sexual Signal Complexes in a Hybrid Zone between the Swordtails Xiphophorus birchmanni and Xiphophorus malinche (Poeciliidae). Copeia. 2003(2). 299–307. 60 indexed citations
15.
Palakal, Mathew, et al.. (2003). Identification of Biological Relationships from Text Documents Using Efficient Computational Methods. Journal of Bioinformatics and Computational Biology. 1(2). 307–342. 15 indexed citations
16.
Stephens, Matthew J., et al.. (2000). DETECTING GENE RELATIONS FROM MEDLINE ABSTRACTS. PubMed. 483–495. 89 indexed citations
17.
Stephens, Matthew J., et al.. (1990). Integration of stereo and motion. 24.1–24.6. 1 indexed citations
18.
Stephens, Matthew J., et al.. (1988). 3D Wire-Frame Integration from Image Sequences. 25.1–25.8. 4 indexed citations
19.
Harris, Chris & Matthew J. Stephens. (1988). A Combined Corner and Edge Detector. 23.1–23.6. 8397 indexed citations breakdown →
20.
McCardell, B. A., et al.. (1987). Binding of cholera toxin to Giardia lamblia. Journal of Clinical Microbiology. 25(9). 1786–1788. 3 indexed citations

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026