Sam Skjonsberg

454 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 Mark E Neumann, Zejiang Shen, Arman Cohan, Lucy Lu Wang, Waleed Ammar, Carissa Schoenick, Sarthak Jain, Oyvind Tafjord, Ali Farhadi and Jordi Salvador 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

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sam Skjonsberg United States	3	13	10	4	3	2	4	19
Sofya Chepushtanova United States	3	10 0.8×	6 0.6×	8 2.0×	2 0.7×		3	26
Dries Van Daele Belgium	3	7 0.5×	16 1.6×	2 0.5×	3 1.0×		3	29
Mehran Soltani Denmark	4	13 1.0×	7 0.7×	2 0.5×			7	32
Hagar Hussein Egypt	4	14 1.1×	7 0.7×	2 0.5×			6	34
K. Y. Gao China	2	9 0.7×	8 0.8×	2 0.5×	1 0.3×		5	18
Helge Hecht Czechia	4	4 0.3×	13 1.3×	3 0.8×	6 2.0×		11	33
S. Sagar Imambi India	4	12 0.9×	5 0.5×	5 1.3×	2 0.7×	1 0.5×	15	30
Shengyuan Hu United States	4	12 0.9×	3 0.3×	5 1.3×			6	27
Ievgen Redko France	3	21 1.6×	4 0.4×	8 2.0×	1 0.3×		6	26
Kouichi Kimura Japan	3	8 0.6×	17 1.7×	2 0.5×	1 0.3×		11	27

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

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

4 of 4 papers shown

1.

Neumann, Mark E, Zejiang Shen, & Sam Skjonsberg. (2021). PAWLS: PDF Annotation With Labels and Structure. 258–264. 7 indexed citations

2.

Clark, Christopher, Jordi Salvador, Dustin Schwenk, et al.. (2021). Iconary: A Pictionary-Based Game for Testing Multimodal Communication with Drawings and Text. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 1864–1886. 1 indexed citations

3.

Wang, Lucy Lu, Oyvind Tafjord, Arman Cohan, et al.. (2020). SUPP.AI: finding evidence for supplement-drug interactions. 362–371. 8 indexed citations

4.

Wang, Lucy Lu, Oyvind Tafjord, Arman Cohan, et al.. (2019). Extracting evidence of supplement-drug interactions from literature. arXiv (Cornell University). 3 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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