Sam Skjonsberg

17 total papers · 444 total citations
4 papers, 19 citations indexed

About

Sam Skjonsberg is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Sam Skjonsberg has authored 4 papers receiving a total of 19 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Molecular Biology and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Sam Skjonsberg's work include Biomedical Text Mining and Ontologies (2 papers), Topic Modeling (2 papers) and Advanced Text Analysis Techniques (1 paper). Sam Skjonsberg is often cited by papers focused on Biomedical Text Mining and Ontologies (2 papers), Topic Modeling (2 papers) and Advanced Text Analysis Techniques (1 paper). Sam Skjonsberg collaborates with scholars based in United States and South Korea. Sam Skjonsberg's co-authors include Zejiang Shen, Mark E Neumann, Oyvind Tafjord, Arman Cohan, Lucy Lu Wang, Waleed Ammar, Sarthak Jain, Carissa Schoenick, Hannaneh Hajishirzi and Christopher Clark and has published in prestigious journals such as arXiv (Cornell University) and Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing.

In The Last Decade

Sam Skjonsberg

4 papers receiving 18 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Sam Skjonsberg 13 10 4 3 2 4 19
Sofya Chepushtanova 10 0.8× 6 0.6× 8 2.0× 2 0.7× 3 26
G.A. Kabatianskii 17 1.3× 4 0.4× 6 1.5× 3 1.0× 2 20
Curt Kohler 14 1.1× 8 0.8× 2 0.5× 1 0.5× 4 18
Uzma Hussain 4 0.3× 8 0.8× 5 1.3× 3 1.0× 4 17
M. S. Kim 20 1.5× 5 0.5× 3 0.8× 4 29
K. Y. Gao 9 0.7× 8 0.8× 2 0.5× 1 0.3× 5 16
Shengyuan Hu 12 0.9× 3 0.3× 5 1.3× 5 27
Marcell Vazquez-Chanlatte 18 1.4× 3 0.3× 2 0.5× 7 2.3× 5 21
Émile Mathieu 9 0.7× 3 0.3× 11 2.8× 2 0.7× 3 25
Trevor S. Frisby 5 0.4× 10 1.0× 4 1.3× 2 1.0× 4 20

Countries citing papers authored by Sam Skjonsberg

Since Specialization
Citations

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

Fields of papers citing papers by Sam Skjonsberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sam Skjonsberg

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

All Works

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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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