Janara Christensen

1.9k total citations
12 papers, 713 citations indexed

About

Janara Christensen is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Janara Christensen has authored 12 papers receiving a total of 713 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 4 papers in Information Systems and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Janara Christensen's work include Topic Modeling (8 papers), Natural Language Processing Techniques (7 papers) and Web Data Mining and Analysis (4 papers). Janara Christensen is often cited by papers focused on Topic Modeling (8 papers), Natural Language Processing Techniques (7 papers) and Web Data Mining and Analysis (4 papers). Janara Christensen collaborates with scholars based in United States and United Kingdom. Janara Christensen's co-authors include Stephen Soderland, Oren Etzioni, Mausam Mausam, Anthony Fader, Sumit Basu, David R. Musicant, Gagan Bansal, Bret Jackson, D. Groß and Thomas G. Smith and has published in prestigious journals such as Environmental Modelling & Software, North American Chapter of the Association for Computational Linguistics and International Joint Conference on Artificial Intelligence.

In The Last Decade

Janara Christensen

12 papers receiving 660 citations

Peers

Janara Christensen
Comparison fields: 5 of 76
  • Artificial Intelligence 602
  • Information Systems 151
  • Management Science and Operations Research 61
  • Computer Vision and Pattern Recognition 60
  • Molecular Biology 42
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Virgil Pavlu United States
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Citations per field, relative to Janara Christensen
Janara Christensen · 1×
Citations per year, relative to Janara Christensen
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Countries citing papers authored by Janara Christensen

Since Specialization
Citations

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

Fields of papers citing papers by Janara Christensen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Janara Christensen

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

All Works

12 of 12 papers shown
# Work Indexed citations
1 35
2
Towards Coherent Multi-Document Summarization
78
3 48
4
Instance-Driven Attachment of Semantic Annotations over Conceptual Hierarchies
1
5 274
6 92
7
Semantic Role Labeling for Open Information Extraction
50
8
Machine Reading at the University of Washington
22
9 44
10
Understanding Support Vector Machine Classifications via a Recommender System-Like Approach.
21
11 3
12 45

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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