Eric Christiansen

1.6k citations
11 papers · 910 indexed · 1 hit paper · h-index 8
Topics
Neural Networks and Applications (2 papers)Gallbladder and Bile Duct Disorders (2 papers)Advanced Image and Video Retrieval Techniques (2 papers)

In The Last Decade

Eric Christiansen

11 papers receiving 883 citations

Hit Papers

In Silico Labeling: Predicting Fluorescent Labels in Unla...20182026202020232018100200300

Peers

Eric Christiansen
Comparison fields: 5 of 114
  • Biophysics 298
  • Artificial Intelligence 276
  • Computer Vision and Pattern Recognition 218
  • Molecular Biology 151
  • Media Technology 148
Replace Paul Salama with:
Paul Salama United States
Zhi Lü China
Arianna Mencattini Italy
Tanel Pärnamaa Estonia
William Fedus United States
Mary M. Maleckar Norway
Marzieh Haghighi United States
Heung‐Kook Choi South Korea
Faliu Yi South Korea
Liangqiong Qu China
Eric Christiansen relative to Paul Salama United States Paul Salama's profile →
Citations per field
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Citations per year

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
#WorkIndexed citations
1 1
2 99
3 91
4
In Silico Labeling: Predicting Fluorescent Labels in Unlabeled Imagesbreakdown →
394
5 92
6
Towards Reproducible Neural Architecture and Hyperparameter Search
7
7 1
8
Locally Uniform Comparison Image Descriptor
38
9 51
10 18
11 118

About Eric Christiansen

Eric Christiansen is a scholar working on Biophysics, Computer Vision and Pattern Recognition and Media Technology, having authored 11 papers that have together received 910 indexed citations. Recurring topics across this work include Neural Networks and Applications (2 papers), Gallbladder and Bile Duct Disorders (2 papers) and Advanced Image and Video Retrieval Techniques (2 papers). The work is most often cited by research in Biophysics (298 citations), Media Technology (148 citations) and Computer Vision and Pattern Recognition (218 citations). Eric Christiansen has collaborated with scholars based in United States, Denmark and Canada. Frequent 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. Their work appears in journals such as Cell, BMC Bioinformatics and Vision Research.

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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