Olga Scrivner

415 total citations
13 papers, 190 citations indexed

About

Olga Scrivner is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Olga Scrivner has authored 13 papers receiving a total of 190 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 3 papers in Information Systems. Recurrent topics in Olga Scrivner's work include Data Visualization and Analytics (4 papers), Natural Language Processing Techniques (3 papers) and Topic Modeling (2 papers). Olga Scrivner is often cited by papers focused on Data Visualization and Analytics (4 papers), Natural Language Processing Techniques (3 papers) and Topic Modeling (2 papers). Olga Scrivner collaborates with scholars based in United States, China and Germany. Olga Scrivner's co-authors include Katy Börner, Mike Gallant, Xiaozhong Liu, Lingfei Wu, James A. Evans, Manuel Díaz‐Campos, Sandra Kübler, Thủy Nguyễn, Kosali Simon and Ben Fulton and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Olga Scrivner

11 papers receiving 174 citations

Peers

Olga Scrivner

IS

AI

EDUCA

CVPR

EE

Hardika Dwi Hermawan Indonesia

Agustina Agustina Indonesia

Muhammad Anwar Indonesia

Simone Bacellar Leal Ferreira Brazil

Wan Abdul Rahim Wan Mohd Isa Malaysia

Junfeng Yang China

Fairuz Iqbal Maulana Indonesia

Sorel Reisman United States

Freddy Paz Peru

Heng Hou United Kingdom

Hardika Dwi Hermawan Indonesia

Olga Scrivner

102 ×2.4

IS

28 ×0.9

AI

106 ×3.4

EDUCA

27 ×0.9

CVPR

8 ×0.3

EE

Citations per year, relative to Olga Scrivner Olga Scrivner (= 1×) peers Hardika Dwi Hermawan

Countries citing papers authored by Olga Scrivner

Since Specialization

Citations

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

Fields of papers citing papers by Olga Scrivner

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Olga Scrivner

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

All Works

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13 of 13 papers shown

1.

Hollingsworth, Joseph E., et al.. (2022). Visualization of Students’ Solutions as a Sequential Network. 2022 IEEE Global Engineering Education Conference (EDUCON). 1189–1194.

2.

Scrivner, Olga, et al.. (2020). Job postings in the substance use disorder treatment related sector during the first five years of Medicaid expansion. PLoS ONE. 15(1). e0228394–e0228394. 4 indexed citations

3.

Börner, Katy, et al.. (2020). Mapping the co-evolution of artificial intelligence, robotics, and the internet of things over 20 years (1998-2017). PLoS ONE. 15(12). e0242984–e0242984. 13 indexed citations

4.

Albrecht, Conan, et al.. (2020). Introduction to the Minitrack on Advances in Teaching and Learning Technologies. Proceedings of the ... Annual Hawaii International Conference on System Sciences.

5.

Börner, Katy, Olga Scrivner, Mike Gallant, et al.. (2018). Skill discrepancies between research, education, and jobs reveal the critical need to supply soft skills for the data economy. Proceedings of the National Academy of Sciences. 115(50). 12630–12637. 104 indexed citations

6.

Scrivner, Olga, et al.. (2018). XD Metrics on Demand Value Analytics: Visualizing the Impact of Internal Information Technology Investments on External Funding, Publications, and Collaboration Networks. SHILAP Revista de lepidopterología. 2. 4 indexed citations

7.

Scrivner, Olga, et al.. (2017). Building Customized Text Mining Tools via Shiny Framework: The Future of Data Visualization.. 93–97. 1 indexed citations

8.

Scrivner, Olga, et al.. (2017). Interactive Text Mining Suite: Data Visualization for Literary Studies.. 29–38. 4 indexed citations

9.

Scrivner, Olga & Manuel Díaz‐Campos. (2016). Language Variation Suite: A theoretical and methodological contribution for linguistic data analysis. Proceedings of the Linguistic Society of America. 1. 29–29. 14 indexed citations

10.

Scrivner, Olga, et al.. (2016). Augmented reality digital technologies (ARDT) for foreign language teaching and learning. 395–398. 32 indexed citations

11.

Scrivner, Olga & Sandra Kübler. (2015). Tools for Digital Humanities: Enabling Access to the Old Occitan Romance of Flamenca. 1–11. 3 indexed citations

12.

Scrivner, Olga, et al.. (2014). SWIFT Aligner, A Multifunctional Tool for Parallel Corpora: Visualization, Word Alignment, and (Morpho)-Syntactic Cross-Language Transfer. Language Resources and Evaluation. 2913–2919. 7 indexed citations

13.

Scrivner, Olga & Sandra Kübler. (2012). Building An Old Occitan Corpus via Cross-Language Transfer. 392–400. 4 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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