Justin A. Eichel

881 total citations · 1 hit paper
10 papers, 608 citations indexed

About

Justin A. Eichel is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Justin A. Eichel has authored 10 papers receiving a total of 608 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 2 papers in Artificial Intelligence and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Justin A. Eichel's work include Video Surveillance and Tracking Methods (3 papers), Optical Coherence Tomography Applications (2 papers) and Image and Video Quality Assessment (2 papers). Justin A. Eichel is often cited by papers focused on Video Surveillance and Tracking Methods (3 papers), Optical Coherence Tomography Applications (2 papers) and Image and Video Quality Assessment (2 papers). Justin A. Eichel collaborates with scholars based in Canada, China and United States. Justin A. Eichel's co-authors include Akshaya Mishra, Andrew Achkar, Pierre‐Marc Jodoin, Shaozi Li, Zhiming Luo, Janusz Konrad, Zhiming Luo, Paul Fieguth, David A. Clausi and Kostadinka Bizheva and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Image Processing and Journal of Electronic Imaging.

In The Last Decade

Justin A. Eichel

9 papers receiving 593 citations

Hit Papers

align trajectories

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.

Non-local Deep Features for Salient Object Detection

2017 458 citations Zhiming Luo, Akshaya Mishra et al. profile →

Peers

Justin A. Eichel

CVPR

CN

MT

SS

AI

Huajun Zhou China

Nabil Ouerhani Switzerland

Changqun Xia China

Wenxi Liu Hong Kong

Christian Scharfenberger Canada

Qi Han China

Fatemeh Sadat Saleh Australia

Lina Wei China

J. P. Dai China

Huajun Zhou China

Justin A. Eichel

521 ×1.0

CVPR

87 ×0.6

CN

90 ×1.0

MT

57 ×1.1

SS

48 ×1.0

AI

Citations per year, relative to Justin A. Eichel Justin A. Eichel (= 1×) peers Huajun Zhou

Countries citing papers authored by Justin A. Eichel

Since Specialization

Citations

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

Fields of papers citing papers by Justin A. Eichel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Justin A. Eichel. 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 Justin A. Eichel. The network helps show where Justin A. Eichel may publish in the future.

Co-authorship network of co-authors of Justin A. Eichel

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

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Luo, Zhiming, Janusz Konrad, Shaozi Li, et al.. (2018). MIO-TCD: A New Benchmark Dataset for Vehicle Classification and Localization. IEEE Transactions on Image Processing. 27(10). 5129–5141. 95 indexed citations

2.

Luo, Zhiming, Akshaya Mishra, Andrew Achkar, et al.. (2017). Non-local Deep Features for Salient Object Detection. 6593–6601. 458 indexed citations breakdown →

3.

Li, Zhizhou, Justin A. Eichel, Akshaya Mishra, Andrew Achkar, & Kshirasagar Naik. (2017). A CPU-based algorithm for traffic optimization based on sparse convolutional neural networks. 1–5. 5 indexed citations

4.

Eichel, Justin A., et al.. (2016). Large-scale machine learning and evaluation platform for real-time traffic surveillance. Journal of Electronic Imaging. 25(5). 51204–51204. 1 indexed citations

5.

Miller, Nicholas, et al.. (2015). A Hidden Markov Model for Vehicle Detection and Counting. 269–276. 20 indexed citations

6.

Mishra, Akshaya, et al.. (2015). DREM: Decoupled region energy model for image segmentation. 2. 3354–3357. 1 indexed citations

7.

Eichel, Justin A., Alexander Wong, Paul Fieguth, & David A. Clausi. (2013). Robust Spectral Clustering Using Statistical Sub-Graph Affinity Model. PLoS ONE. 8(12). e82722–e82722. 4 indexed citations

8.

Eichel, Justin A., David A. Clausi, & Paul Fieguth. (2011). Precise High Speed Multi-Target Multi-Sensor Local Positioning System. 109–116. 1 indexed citations

9.

Bizheva, Kostadinka, Justin A. Eichel, Sepideh Hariri, et al.. (2009). Evaluation of hypoxic swelling of human cornea with high speed ultrahigh resolution optical coherence tomography. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7163. 71631G–71631G. 1 indexed citations

10.

Eichel, Justin A., Akshaya Mishra, Paul Fieguth, David A. Clausi, & Kostadinka Bizheva. (2009). A Novel Algorithm for Extraction of the Layers of the Cornea. 34. 313–320. 22 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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