Peter Solíz

1.8k total citations
117 papers, 1.3k citations indexed

About

Peter Solíz is a scholar working on Radiology, Nuclear Medicine and Imaging, Ophthalmology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Peter Solíz has authored 117 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 95 papers in Radiology, Nuclear Medicine and Imaging, 60 papers in Ophthalmology and 22 papers in Computer Vision and Pattern Recognition. Recurrent topics in Peter Solíz's work include Retinal Imaging and Analysis (72 papers), Retinal Diseases and Treatments (30 papers) and Retinal and Optic Conditions (26 papers). Peter Solíz is often cited by papers focused on Retinal Imaging and Analysis (72 papers), Retinal Diseases and Treatments (30 papers) and Retinal and Optic Conditions (26 papers). Peter Solíz collaborates with scholars based in United States, United Kingdom and Peru. Peter Solíz's co-authors include Marios S. Pattichis, Carla Agurto, E Simon Barriga, Víctor Murray, Michael D. Abràmoff, Sheila C Nemeth, Honggang Yu, Wendall Bauman, Stephen R. Russell and Gilberto Zamora and has published in prestigious journals such as Scientific Reports, The FASEB Journal and IEEE Transactions on Medical Imaging.

In The Last Decade

Peter Solíz

113 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter Solíz United States 19 1.0k 814 477 110 86 117 1.3k
Zailiang Chen China 18 660 0.6× 457 0.6× 454 1.0× 124 1.1× 28 0.3× 54 961
Akram Belghith United States 24 2.3k 2.2× 2.5k 3.0× 170 0.4× 244 2.2× 21 0.2× 87 2.7k
Carmen Alina Lupaşcu Italy 12 585 0.6× 511 0.6× 330 0.7× 20 0.2× 17 0.2× 30 730
Kyle Hasenstab United States 13 488 0.5× 431 0.5× 42 0.1× 67 0.6× 16 0.2× 37 879
J. J. G. Leandro Australia 9 1.2k 1.1× 908 1.1× 835 1.8× 50 0.5× 27 0.3× 13 1.3k
László G. Nyúl Hungary 13 461 0.4× 281 0.3× 440 0.9× 85 0.8× 7 0.1× 45 853
Behzad Aliahmad Australia 12 389 0.4× 263 0.3× 151 0.3× 26 0.2× 64 0.7× 42 543
Jan Odstrčilík Czechia 11 636 0.6× 487 0.6× 376 0.8× 52 0.5× 22 0.3× 32 698
Siamak Yousefi United States 22 1.7k 1.7× 1.7k 2.1× 205 0.4× 124 1.1× 18 0.2× 85 2.1k
Bashir Al-Diri United Kingdom 15 918 0.9× 763 0.9× 469 1.0× 37 0.3× 42 0.5× 46 1.0k

Countries citing papers authored by Peter Solíz

Since Specialization
Citations

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

Fields of papers citing papers by Peter Solíz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Solíz

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Solíz. A scholar is included among the top collaborators of Peter Solíz 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 Peter Solíz. Peter Solíz 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.
Barriga, E Simon, et al.. (2020). Using a Handheld Retinal Camera and Artificial Intelligence for Diabetic Retinopathy Screening in Bolivia. Investigative Ophthalmology & Visual Science. 61(7). 1645–1645. 1 indexed citations
2.
Nemeth, Sheila C, et al.. (2019). Self-Segmentation Strategies for Unsupervised Clustering and Visualization of Retinal Images. Investigative Ophthalmology & Visual Science. 60(11). 1 indexed citations
3.
Barriga, E Simon, et al.. (2018). One Year Results of Clinical Use of an Automatic Diabetic Retinopathy Screening System at Diabetes Care Clinics. Investigative Ophthalmology & Visual Science. 59(9). 1887–1887. 1 indexed citations
5.
Barriga, E Simon, Elizabeth A. McGrew, Gilberto Zamora, et al.. (2014). Assessing Agreement between Dilated Indirect Stereoscopic Exam and Digital Non-Mydriatic Retinal Photography for the Evaluation of Diabetic Retinopathy. Investigative Ophthalmology & Visual Science. 55(13). 5335–5335. 1 indexed citations
6.
Murray, Víctor, et al.. (2012). Recent multiscale AM-FM methods in emerging applications in medical imaging. EURASIP Journal on Advances in Signal Processing. 2012(1). 18 indexed citations
7.
Yu, Honggang, E Simon Barriga, Carla Agurto, et al.. (2012). Fast Localization and Segmentation of Optic Disk in Retinal Images Using Directional Matched Filtering and Level Sets. IEEE Transactions on Information Technology in Biomedicine. 16(4). 644–657. 132 indexed citations
8.
Zamora, Gilberto, et al.. (2011). Automatic Screening Of Eye Diseases Using 3-field Fundus Photographs. Investigative Ophthalmology & Visual Science. 52(14). 1342–1342.
9.
Barriga, E Simon, Víctor Murray, Carla Agurto, et al.. (2010). Automatic Computer-Based Grading for Age-Related Maculopathy. Investigative Ophthalmology & Visual Science. 51(13). 1793–1793. 1 indexed citations
10.
Echegaray, Sebastian, et al.. (2010). Automated Classification of Papilledema Using Frisen Grading and OCT Measurements. Investigative Ophthalmology & Visual Science. 51(13). 1775–1775. 1 indexed citations
11.
Ts’o, Daniel Y., Jesse Schallek, Randy H. Kardon, et al.. (2009). Hemodynamic Components Contribute to Intrinsic Signals of the Retina and Optic Disc. Investigative Ophthalmology & Visual Science. 50(13). 4322–4322. 1 indexed citations
12.
Pattichis, Marios S., Víctor Murray, Michael D. Abràmoff, et al.. (2009). Detection of Structures in the Retina Using AM-FM for Diabetic Retinopathy Classification. Investigative Ophthalmology & Visual Science. 50(13). 313–313. 1 indexed citations
13.
Russell, Stephen R., et al.. (2007). Quantitative Assessment of Retinal Image Quality Compared to Subjective Determination. Investigative Ophthalmology & Visual Science. 48(13). 2607–2607.
14.
Ts’o, Daniel Y., Mark D. Zarella, Jesse Schallek, et al.. (2005). The Origins of Stimulus Dependent Intrinsic Optical Signals of the Retina. Investigative Ophthalmology & Visual Science. 46(13). 2258–2258. 2 indexed citations
15.
Barriga, E Simon, Gilberto Zamora, Stephen R. Russell, & Peter Solíz. (2005). Detection of Spectral Variations Using Independent Component Analysis of Hyperspectral Images in Patients With Age–Related Macular Degeneration. Investigative Ophthalmology & Visual Science. 46(13). 1562–1562. 1 indexed citations
17.
Zamora, Gilberto, et al.. (2004). A Hyperspectral Retinal Imaging System: A Spectral–Spatial Comparison Of Clinically Significant Macular Edema (CSME). Investigative Ophthalmology & Visual Science. 45(13). 457–457. 1 indexed citations
18.
Ts’o, Daniel Y., et al.. (2003). Intrinsic Signal Optical Imaging of Retinal Responses to Patterned Stimuli. Investigative Ophthalmology & Visual Science. 44(13). 2709–2709. 6 indexed citations
19.
Wilson, Mark, et al.. (2003). Automatic Registration of Multi-modal Retinal Images, and FA and ICG Videos for Examinations Over a Six Month Period. Investigative Ophthalmology & Visual Science. 44(13). 1769–1769. 2 indexed citations
20.
Mitra, S., et al.. (2002). Digital stereo image analyzer for generating automated 3-D measures of optic disc deformation in glaucoma. IEEE Transactions on Medical Imaging. 21(10). 1244–1253. 52 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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