Eric Christiansen

1.6k total citations · 1 hit paper
11 papers, 910 citations indexed

About

Eric Christiansen is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Computer Vision and Pattern Recognition. According to data from OpenAlex, Eric Christiansen has authored 11 papers receiving a total of 910 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Surgery, 3 papers in Pulmonary and Respiratory Medicine and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Eric Christiansen's work include Neural Networks and Applications (2 papers), Gallbladder and Bile Duct Disorders (2 papers) and Advanced Image and Video Retrieval Techniques (2 papers). Eric Christiansen is often cited by papers focused on Neural Networks and Applications (2 papers), Gallbladder and Bile Duct Disorders (2 papers) and Advanced Image and Video Retrieval Techniques (2 papers). Eric Christiansen collaborates with scholars based in United States, Denmark and Canada. Eric Christiansen's co-authors include Garrison W. Cottrell, Matthew H. Tong, Marc Berndl, D. Michael Ando, Steven Finkbeiner, Samuel Yang, Philip Nelson, Serge Belongie, Lee L. Rubin and Ashkan Javaherian and has published in prestigious journals such as Cell, BMC Bioinformatics and Vision Research.

In The Last Decade

Eric Christiansen

11 papers receiving 883 citations

Hit Papers

In Silico Labeling: Predicting Fluorescent Labels in Unla... 2018 2026 2020 2023 2018 100 200 300
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. In Silico Labeling: Predicting Fluorescent Labels in Unlabeled Images
    2018 394 citations Eric Christiansen, Samuel Yang et al. Cell profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eric Christiansen United States 8 298 276 218 151 148 11 910
Paul Salama United States 16 250 0.8× 273 1.0× 468 2.1× 261 1.7× 101 0.7× 115 1.1k
Zhi Lü China 17 218 0.7× 124 0.4× 238 1.1× 576 3.8× 90 0.6× 49 1.4k
Arianna Mencattini Italy 24 177 0.6× 643 2.3× 519 2.4× 226 1.5× 180 1.2× 144 2.1k
Faliu Yi South Korea 17 202 0.7× 166 0.6× 347 1.6× 38 0.3× 229 1.5× 42 850
Mei Zhou China 17 297 1.0× 266 1.0× 449 2.1× 43 0.3× 226 1.5× 68 1.1k
Heung‐Kook Choi South Korea 16 57 0.2× 259 0.9× 334 1.5× 77 0.5× 109 0.7× 89 814
Liangqiong Qu China 19 92 0.3× 366 1.3× 542 2.5× 58 0.4× 106 0.7× 43 1.6k
Ilker Ersoy United States 16 183 0.6× 200 0.7× 502 2.3× 121 0.8× 114 0.8× 43 897
Shilin Wang China 22 59 0.2× 318 1.2× 915 4.2× 61 0.4× 157 1.1× 114 1.7k
Piyush Goyal India 5 254 0.9× 96 0.3× 62 0.3× 159 1.1× 99 0.7× 13 682

Countries citing papers authored by Eric Christiansen

Since Specialization
Citations

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

Fields of papers citing papers by Eric Christiansen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eric Christiansen

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

All Works

11 of 11 papers shown
1.
Christiansen, Eric, et al.. (2021). Emphysematous Osteomyelitis. Applied Radiology. 56A–56B. 1 indexed citations
2.
Ying, Chris, Aaron Klein, Esteban Real, et al.. (2019). NAS-Bench-101: Towards Reproducible Neural Architecture Search. arXiv (Cornell University). 7105–7114. 99 indexed citations
3.
4.
Christiansen, Eric, Samuel Yang, D. Michael Ando, et al.. (2018). In Silico Labeling: Predicting Fluorescent Labels in Unlabeled Images. Cell. 173(3). 792–803.e19. 394 indexed citations breakdown →
5.
Yang, Samuel, Marc Berndl, D. Michael Ando, et al.. (2018). Assessing microscope image focus quality with deep learning. BMC Bioinformatics. 19(1). 77–77. 92 indexed citations
6.
Klein, Aaron, Eric Christiansen, Kevin D. Murphy, & Frank Hutter. (2018). Towards Reproducible Neural Architecture and Hyperparameter Search. 7 indexed citations
7.
8.
Christiansen, Eric, et al.. (2012). Locally Uniform Comparison Image Descriptor. Neural Information Processing Systems. 25. 1–9. 38 indexed citations
9.
Christiansen, Eric, et al.. (2010). Toward real-time grocery detection for the visually impaired. 49–56. 51 indexed citations
10.
McCleery, Joseph P., Lingyun Zhang, Liezhong Ge, et al.. (2008). The roles of visual expertise and visual input in the face inversion effect: Behavioral and neurocomputational evidence. Vision Research. 48(5). 703–715. 18 indexed citations
11.
Tong, Matthew H., et al.. (2007). Learning grammatical structure with Echo State Networks. Neural Networks. 20(3). 424–432. 118 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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