Janara Christensen
- Artificial Intelligence top 2%
- Information Systems top 5%
- Management Science and Operations Research top 10%
- Computer Vision and Pattern Recognition top 10%
- Molecular Biology
- Co-authors
- Stephen SoderlandOren EtzioniMausam MausamAnthony FaderSumit BasuDavid R. MusicantGagan BansalBret Jackson
- Topics
- Topic Modeling (8 papers)Natural Language Processing Techniques (7 papers)Web Data Mining and Analysis (4 papers)
- Journals
- Environmental Modelling & SoftwareNorth American Chapter of the Association for Computational LinguisticsInternational Joint Conference on Artificial Intelligence
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Janara Christensen
12 papers receiving 660 citations
Peers
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
Countries citing papers authored by Janara Christensen
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
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
| # | 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 |
About Janara Christensen
Janara Christensen is a scholar working on Artificial Intelligence, Information Systems and Environmental Engineering, having authored 12 papers that have together received 713 indexed citations. Recurring topics across this work include Topic Modeling (8 papers), Natural Language Processing Techniques (7 papers) and Web Data Mining and Analysis (4 papers). The work is most often cited by research in Artificial Intelligence (602 citations), Information Systems (151 citations) and Management Science and Operations Research (61 citations). Janara Christensen has collaborated with scholars based in United States and United Kingdom. Frequent 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. Their work appears in journals such as Environmental Modelling & Software, North American Chapter of the Association for Computational Linguistics and International Joint Conference on Artificial Intelligence.
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.