M. E. Arias

41 papers receiving 2.2k citations

M. E. Arias's Hit Papers

Detecting the Optic Disc Boundary in Digital Fundus Images Using Morphological, Edge Detection, and Feature Extraction Techniques 2010 · 408 citations
4080+5+10Years since publication250500750

Peers

M. E. Arias
Comparison fields: 5 of 120
  • Ophthalmology 1.1k
  • Radiology, Nuclear Medicine and Imaging 1.5k
  • Computer Vision and Pattern Recognition 1.0k
  • Biotechnology 244
  • Health Information Management 66
Replace Atul Bansal with:
Atul Bansal India
Fuyan Zhang China
Huihua Yang China
Fengping An China
Qilei Chen China
Mohammad Motiur Rahman Bangladesh
Marsyita Hanafi Malaysia
R. Sathya India
M. E. Arias relative to Atul Bansal India Atul Bansal's profile →
Citations per field
00.5×10×20×27.1×
Atul Bansal · 1×
Citations per year

Countries citing papers authored by M. E. Arias

Since Specialization
Citations

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

Fields of papers citing papers by M. E. Arias

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. E. Arias. 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 M. E. Arias. The network helps show where M. E. Arias may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A New Supervised Method for Blood Vessel Segmentation in Retinal Images by Using Gray-Level and Moment Invariants-Based Features
Hit paper breakdown →
2010768
2
Detecting the Optic Disc Boundary in Digital Fundus Images Using Morphological, Edge Detection, and Feature Extraction Techniques
Hit paper breakdown →
2010408
3 2004127
4 202092
5 201486
6 202176
7 201165
8 201359
9 200849
10 200148
11 199747
12 201841
13 202141
14 201734
15 201634
16 199833
17 200630
18 200129
19 200928
20 200027

About M. E. Arias

M. E. Arias is a scholar working on Plant Science, Biomedical Engineering, Biotechnology, Radiology, Nuclear Medicine and Imaging and Ophthalmology, having authored 42 papers that have together received 2.4k indexed citations. Recurring topics across this work include Enzyme-mediated dye degradation (15 papers), Retinal Imaging and Analysis (12 papers), Lignin and Wood Chemistry (11 papers), Glaucoma and retinal disorders (8 papers), Biochemical and biochemical processes (8 papers), Biofuel production and bioconversion (7 papers), Retinal Diseases and Treatments (5 papers) and Digital Imaging for Blood Diseases (4 papers). The work is most often cited by research in Ophthalmology (1.1k citations), Radiology, Nuclear Medicine and Imaging (1.5k citations), Computer Vision and Pattern Recognition (1.0k citations), Biotechnology (244 citations) and Health Information Management (66 citations). M. E. Arias has collaborated with scholars based in Spain, United Kingdom and Italy. Frequent co-authors include D. Marín, Arturo Aquino, J.M. Bravo, Manuel Hernández, Andrew S. Ball, Manuel Jesús Vasallo, M.I. Pérez-Leblic, Marı́a Inés Isla, Marta Amelia Vattuone and Francisco Javier González-Vila. Their work appears in journals such as Applied Microbiology and Biotechnology, Journal of Analytical and Applied Pyrolysis, IEEE Transactions on Medical Imaging, Computer Methods and Programs in Biomedicine and Rapid Communications in Mass Spectrometry.

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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