Mary Ellen Okurowski
- Artificial Intelligence top 2%
- Language and Linguistics top 5%
- Information Systems
- Experimental and Cognitive Psychology
- Literature and Literary Theory top 10%
- Co-authors
- Lynn CarlsonDaniel MarcuChinatsu AoneFu-Dong ChiouMitchell P. MarcusFei XiaNianwen XueMartha Palmer
- Topics
- Natural Language Processing Techniques (7 papers)Topic Modeling (6 papers)Advanced Text Analysis Techniques (6 papers)
- Partner nations
- United States
In The Last Decade
Mary Ellen Okurowski
19 papers receiving 526 citations
Peers
Comparison fields: 5 of 36
- Artificial Intelligence 598
- Language and Linguistics 58
- Information Systems 39
- Experimental and Cognitive Psychology 35
- Literature and Literary Theory 33
Countries citing papers authored by Mary Ellen Okurowski
This map shows the geographic impact of Mary Ellen Okurowski'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 Mary Ellen Okurowski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mary Ellen Okurowski more than expected).
Fields of papers citing papers by Mary Ellen Okurowski
This network shows the impact of papers produced by Mary Ellen Okurowski. 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 Mary Ellen Okurowski. The network helps show where Mary Ellen Okurowski may publish in the future.
Co-authorship network of co-authors of Mary Ellen Okurowski
This figure shows the co-authorship network connecting the top 25 collaborators of Mary Ellen Okurowski. A scholar is included among the top collaborators of Mary Ellen Okurowski 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 Mary Ellen Okurowski. Mary Ellen Okurowski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Federal Agency Finds Success in Group Mentoring Program: Group Mentoring Has Gained Momentum over the Past Few Years and Is Now a Mainstream Option for Mentoring in the Private and Public Sectors. Team, Peer, and Facilitated Group Methods Broaden Choices for Employee Development | 1 |
| 2 | 1 | |
| 3 | 10 | |
| 4 | 384 | |
| 5 | Developing Guidelines and Ensuring Consistency for Chinese Text Annotation | 89 |
| 6 | 6 | |
| 7 | 13 | |
| 8 | 44 | |
| 9 | A Scalable Summarization System Using Robust NLP | 41 |
| 10 | 3 | |
| 11 | 14 | |
| 12 | A Hybrid Approach to Multilingual Text Processing: Information Extraction and Machine Translation. | 5 |
| 13 | 3 | |
| 14 | 5 | |
| 15 | 5 | |
| 16 | 3 | |
| 17 | 1 | |
| 18 | 5 | |
| 19 | 4 |
About Mary Ellen Okurowski
Mary Ellen Okurowski is a scholar working on Software, Artificial Intelligence and General Social Sciences, having authored 19 papers that have together received 637 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (7 papers), Topic Modeling (6 papers) and Advanced Text Analysis Techniques (6 papers). The work is most often cited by research in Artificial Intelligence (598 citations), Language and Linguistics (58 citations) and Literature and Literary Theory (33 citations). Mary Ellen Okurowski has collaborated with scholars based in United States. Frequent co-authors include Lynn Carlson, Daniel Marcu, Chinatsu Aone, Fu-Dong Chiou, Mitchell P. Marcus, Fei Xia, Nianwen Xue, Martha Palmer, Shi-Zhe Huang and Nancy Chinchor. Their work appears in journals such as IEEE Intelligent Systems, Language Resources and Evaluation and Language Sciences.
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.