James Monaco

1.0k total citations
37 papers, 761 citations indexed

About

James Monaco is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, James Monaco has authored 37 papers receiving a total of 761 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 21 papers in Computer Vision and Pattern Recognition and 5 papers in Molecular Biology. Recurrent topics in James Monaco's work include AI in cancer detection (20 papers), Medical Image Segmentation Techniques (11 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). James Monaco is often cited by papers focused on AI in cancer detection (20 papers), Medical Image Segmentation Techniques (11 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). James Monaco collaborates with scholars based in United States, Netherlands and Canada. James Monaco's co-authors include Anant Madabhushi, Michael D. Feldman, Ajay Basavanhally, Shridar Ganesan, Gyan Bhanot, Shannon C. Agner, J E Tomaszewski, Scott Doyle, John Tomaszewski and Ulysses J. Balis and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and IEEE Transactions on Image Processing.

In The Last Decade

James Monaco

35 papers receiving 747 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
James Monaco United States 14 524 345 244 138 138 37 761
Xiaojun Guan China 4 601 1.1× 343 1.0× 346 1.4× 218 1.6× 171 1.2× 10 924
André Homeyer Germany 13 376 0.7× 229 0.7× 294 1.2× 70 0.5× 117 0.8× 37 835
Bassem Ben Cheikh France 6 443 0.8× 344 1.0× 299 1.2× 136 1.0× 80 0.6× 18 778
Péter Bándi Netherlands 8 617 1.2× 292 0.8× 421 1.7× 61 0.4× 125 0.9× 15 779
N. K. Timofeeva Netherlands 4 717 1.4× 292 0.8× 471 1.9× 69 0.5× 143 1.0× 10 963
Ruchika Verma United States 10 583 1.1× 463 1.3× 499 2.0× 72 0.5× 161 1.2× 30 1.0k
Guillaume Jaume United States 11 577 1.1× 210 0.6× 401 1.6× 124 0.9× 107 0.8× 14 885
Norman Zerbe Germany 12 501 1.0× 194 0.6× 314 1.3× 68 0.5× 96 0.7× 34 780
Philipp Kainz Austria 10 605 1.2× 404 1.2× 402 1.6× 97 0.7× 150 1.1× 17 1.1k
Dimitris Glotsos Greece 16 424 0.8× 219 0.6× 321 1.3× 107 0.8× 86 0.6× 73 868

Countries citing papers authored by James Monaco

Since Specialization
Citations

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

Fields of papers citing papers by James Monaco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James Monaco

This figure shows the co-authorship network connecting the top 25 collaborators of James Monaco. A scholar is included among the top collaborators of James Monaco 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 James Monaco. James Monaco 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
1.
Chau, Vinh Q., Teruhiko Imamura, Chris Sciamanna, et al.. (2024). Haemodynamic Effects of Intra-Aortic Balloon Pumps Stratified by Baseline Pulmonary Artery Pulsatility Index. ESC Heart Failure. 12(1). 316–325.
2.
3.
Gallagher, Colleen, Rachel Pedersen, Kathleen Schultz, et al.. (2023). Adverse outcomes in nontrial like patients on commercial HeartMate 3 LVAD support. SHILAP Revista de lepidopterología. 2. 100008–100008. 1 indexed citations
4.
Monaco, James, Amber Khanna, & Prateeti Khazanie. (2020). Transplant and mechanical circulatory support in patients with adult congenital heart disease. Heart Failure Reviews. 25(4). 671–683. 14 indexed citations
5.
Hipp, Jason, Donald J. Johann, Yun Chen, et al.. (2018). Computer-Aided Laser Dissection: A Microdissection Workflow Leveraging Image Analysis Tools. Journal of Pathology Informatics. 9(1). 45–45. 9 indexed citations
6.
Mohammadi, Amir H., Lori J. Goldstein, Hannah Gilmore, et al.. (2018). Image-based risk score to predict recurrence of ER+ breast cancer in ECOG-ACRIN Cancer Research Group E2197.. Journal of Clinical Oncology. 36(15_suppl). 540–540. 8 indexed citations
7.
Lloyd, Mark C., James Monaco, & Marilyn M. Bui. (2016). Image Analysis in Surgical Pathology. Surgical pathology clinics. 9(2). 329–337. 7 indexed citations
8.
Monaco, James, et al.. (2012). Image Segmentation with Implicit Color Standardization Using Spatially Constrained Expectation Maximization: Detection of Nuclei. Lecture notes in computer science. 15(Pt 1). 365–372. 26 indexed citations
9.
Hipp, Jason, Steven C. Smith, Jerome Cheng, et al.. (2012). Optimization of complex cancer morphology detection using the SIVQ pattern recognition algorithm.. SHILAP Revista de lepidopterología. 35(1). 41–50. 13 indexed citations
10.
Hipp, Jason, Jerome Cheng, Liron Pantanowitz, et al.. (2011). Image microarrays (IMA): Digital pathology’s missing tool. Journal of Pathology Informatics. 2(1). 47–47. 8 indexed citations
11.
Monaco, James & Anant Madabhushi. (2011). Weighted Maximum Posterior Marginals for Random Fields Using an Ensemble of Conditional Densities From Multiple Markov Chain Monte Carlo Simulations. IEEE Transactions on Medical Imaging. 30(7). 1353–1364. 4 indexed citations
12.
Cheng, Jerome, Jason Hipp, James Monaco, et al.. (2011). Automated vector selection of SIVQ and parallel computing integration MATLABTM: Innovations supporting large-scale and high-throughput image analysis studies. Journal of Pathology Informatics. 2(1). 37–37. 9 indexed citations
13.
Hipp, Jason, Barbara J. McKenna, James Monaco, et al.. (2011). The need for the pathology community to sponsor a whole slide imaging repository with technical guidance from the pathology informatics community. Journal of Pathology Informatics. 2(1). 31–31. 15 indexed citations
14.
Doyle, Scott, James Monaco, Michaël Feldman, John Tomaszewski, & Anant Madabhushi. (2011). An active learning based classification strategy for the minority class problem: application to histopathology annotation. BMC Bioinformatics. 12(1). 424–424. 52 indexed citations
15.
Yu, Genong, James Monaco, John Tomaszewski, et al.. (2011). Detection of prostate cancer on histopathology using color fractals and Probabilistic Pairwise Markov models. PubMed. 2011. 3427–3430. 15 indexed citations
16.
Xu, Jun, James Monaco, & Anant Madabhushi. (2010). Markov Random Field driven Region-Based Active Contour Model (MaRACel): Application to Medical Image Segmentation. Lecture notes in computer science. 13(Pt 3). 197–204. 19 indexed citations
17.
Monaco, James, John E. Tomaszewski, Michael D. Feldman, et al.. (2010). High-throughput detection of prostate cancer in histological sections using probabilistic pairwise Markov models. Medical Image Analysis. 14(4). 617–629. 90 indexed citations
18.
Basavanhally, Ajay, Shridar Ganesan, Shannon C. Agner, et al.. (2009). Computerized Image-Based Detection and Grading of Lymphocytic Infiltration in HER2+ Breast Cancer Histopathology. IEEE Transactions on Biomedical Engineering. 57(3). 642–653. 207 indexed citations
19.
Monaco, James, Alan C. Bovik, & Lawrence K. Cormack. (2008). Stereoscopic Phase-Differencing: Multiscale Synthesis. 27. 33–36. 1 indexed citations
20.
Monaco, James, Alan C. Bovik, & Lawrence K. Cormack. (2008). Nonlinearities in Stereoscopic Phase-Differencing. IEEE Transactions on Image Processing. 17(9). 1672–1684. 4 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.

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