Mark Eramian

1.2k total citations · 1 hit paper
40 papers, 877 citations indexed

About

Mark Eramian is a scholar working on Computer Vision and Pattern Recognition, Plant Science and Molecular Biology. According to data from OpenAlex, Mark Eramian has authored 40 papers receiving a total of 877 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 12 papers in Plant Science and 5 papers in Molecular Biology. Recurrent topics in Mark Eramian's work include Smart Agriculture and AI (11 papers), Advanced Image and Video Retrieval Techniques (8 papers) and Image and Signal Denoising Methods (5 papers). Mark Eramian is often cited by papers focused on Smart Agriculture and AI (11 papers), Advanced Image and Video Retrieval Techniques (8 papers) and Image and Signal Denoising Methods (5 papers). Mark Eramian collaborates with scholars based in Canada, United Kingdom and United States. Mark Eramian's co-authors include Jianning Chi, Yi Xin, Ekta Walia, Jimmy Wang, Paul Babyn, Gary Groot, Robert A. Schincariol, L. Mansinha, R. G. Stockwell and David Mould and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Transactions on Image Processing.

In The Last Decade

Mark Eramian

39 papers receiving 831 citations

Hit Papers

Thyroid Nodule Classification in Ultrasound Images by Fin... 2017 2026 2020 2023 2017 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Thyroid Nodule Classification in Ultrasound Images by Fine-Tuning Deep Convolutional Neural Network
    2017 294 citations Jianning Chi, Ekta Walia et al. Journal of Digital Imaging profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark Eramian Canada 12 282 237 227 127 107 40 877
Lin Han China 12 426 1.5× 380 1.6× 372 1.6× 34 0.3× 51 0.5× 50 1.2k
Weidong Sun China 18 518 1.8× 227 1.0× 328 1.4× 143 1.1× 708 6.6× 76 1.6k
Mohammad Hesam Hesamian Australia 5 445 1.6× 517 2.2× 378 1.7× 11 0.1× 50 0.5× 11 1.3k
Pablo Márquez-Neila Switzerland 14 449 1.6× 163 0.7× 127 0.6× 30 0.2× 79 0.7× 28 912
Jianning Chi China 13 277 1.0× 373 1.6× 293 1.3× 131 1.0× 62 0.6× 65 760
Xiaohan Ding China 10 472 1.7× 68 0.3× 187 0.8× 12 0.1× 158 1.5× 40 1.0k
Aamir Shahzad Pakistan 16 167 0.6× 148 0.6× 121 0.5× 6 0.0× 34 0.3× 47 681
Maxim Berman Belgium 4 425 1.5× 152 0.6× 172 0.8× 6 0.0× 88 0.8× 6 847
Bryan M. Williams United Kingdom 14 354 1.3× 577 2.4× 112 0.5× 21 0.2× 42 0.4× 63 1.1k

Countries citing papers authored by Mark Eramian

Since Specialization
Citations

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

Fields of papers citing papers by Mark Eramian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Eramian

This figure shows the co-authorship network connecting the top 25 collaborators of Mark Eramian. A scholar is included among the top collaborators of Mark Eramian 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 Mark Eramian. Mark Eramian 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.
Eramian, Mark, et al.. (2023). Semi-Self-Supervised Learning for Semantic Segmentation in Images with Dense Patterns. Plant Phenomics. 5. 25–25. 11 indexed citations
2.
Eramian, Mark, et al.. (2023). Benchmarking Self-Supervised Contrastive Learning Methods for Image-Based Plant Phenotyping. Plant Phenomics. 5. 37–37. 6 indexed citations
3.
Chandnani, Rahul, et al.. (2022). Iterative image segmentation of plant roots for high-throughput phenotyping. Scientific Reports. 12(1). 16563–16563. 8 indexed citations
4.
Eramian, Mark, et al.. (2022). Segmentation of vegetation and microplots in aerial agriculture images: A survey. SHILAP Revista de lepidopterología. 5(1). 10 indexed citations
5.
Badhon, Minhajul Arifin, Hema Duddu, Steven J. Shirtliffe, et al.. (2021). Automatic Microplot Localization Using UAV Images and a Hierarchical Image-Based Optimization Method. Plant Phenomics. 2021. 9764514–9764514. 1 indexed citations
6.
Ahmed, Imran, Mark Eramian, Karsten Nielsen, et al.. (2019). Automatic Detection and Segmentation of Lentil Crop Breeding Plots From Multi-Spectral Images Captured by UAV-Mounted Camera. 1673–1681. 17 indexed citations
7.
Eramian, Mark, Hema Duddu, Menglu Wang, et al.. (2018). Classification of Crop Lodging with Gray Level Co-occurrence Matrix. 251–258. 26 indexed citations
8.
Power, Christopher, Andrew Lewis, Helen Petrie, et al.. (2017). Improving Archaeologists’ Online Archive Experiences Through User-Centred Design. Journal on Computing and Cultural Heritage. 10(1). 1–20. 10 indexed citations
9.
Chi, Jianning, Ekta Walia, Paul Babyn, et al.. (2017). Thyroid Nodule Classification in Ultrasound Images by Fine-Tuning Deep Convolutional Neural Network. Journal of Digital Imaging. 30(4). 477–486. 294 indexed citations breakdown →
10.
Eramian, Mark, Ekta Walia, Christopher Power, Paul Cairns, & Andrew Lewis. (2016). Image-based search and retrieval for biface artefacts using features capturing archaeologically significant characteristics. Machine Vision and Applications. 28(1-2). 201–218. 4 indexed citations
11.
Xin, Yi, Mark Eramian, Ruojing Wang, & Eric Neufeld. (2014). Identification of Morphologically Similar Seeds Using Multi-kernel Learning. 143–150. 5 indexed citations
12.
Eramian, Mark, et al.. (2013). Automated classification of four types of developmental odontogenic cysts. Computerized Medical Imaging and Graphics. 38(3). 151–162. 10 indexed citations
13.
Meng, Dong, Mark Eramian, Simone A. Ludwig, & Roger A. Pierson. (2012). Automatic detection and segmentation of bovine corpora lutea in ultrasonographic ovarian images using genetic programming and rotation invariant local binary patterns. Medical & Biological Engineering & Computing. 51(4). 405–416. 2 indexed citations
14.
Eramian, Mark, et al.. (2011). Segmentation of epithelium in H&E stained odontogenic cysts. Journal of Microscopy. 244(3). 273–292. 16 indexed citations
15.
Pierson, Roger A., et al.. (2008). Level set segmentation of bovine corpora lutea in ex situ ovarian ultrasound images. Reproductive Biology and Endocrinology. 6(1). 33–33. 4 indexed citations
16.
Daley, Mark, Mark Eramian, & Ian McQuillan. (2008). The Bag Automaton: A Model of Nondeterministic Storage. Journal of automata, languages and combinatorics. 13(3). 185–206. 2 indexed citations
17.
Eramian, Mark, et al.. (2007). Computer Assisted Detection of Polycystic Ovary Morphology in Ultrasound Images. 105–112. 33 indexed citations
18.
Eramian, Mark, et al.. (2006). Evaluation of Texture Features for Analysis of Ovarian Follicular Development. Lecture notes in computer science. 9(Pt 2). 93–100. 5 indexed citations
19.
Eramian, Mark & David Mould. (2005). Histogram Equalization using Neighborhood Metrics. 397–404. 40 indexed citations
20.
Eramian, Mark, Robert A. Schincariol, L. Mansinha, & R. G. Stockwell. (1999). Generation of Aquifer Heterogeneity Maps Using Two-Dimensional Spectral Texture Segmentation Techniques. Mathematical Geology. 31(3). 327–348. 27 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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