John M. Conroy
- Artificial Intelligence top 1%
- Statistical and Nonlinear Physics top 5%
- Information Systems top 5%
- Molecular Biology
- Computer Networks and Communications top 10%
- Co-authors
- Dianne P. O’LearyJudith D. SchlesingerCarey E. PriebeHoa Trang DangYoungser ParkDavid J. MarchetteAni NenkovaDaniel Dunlavy
- Topics
- Topic Modeling (34 papers)Natural Language Processing Techniques (31 papers)Advanced Text Analysis Techniques (16 papers)
- Journals
- Proceedings of the National Academy of SciencesSHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- United StatesRussiaEgypt
In The Last Decade
John M. Conroy
45 papers receiving 968 citations
Peers
Comparison fields: 5 of 76
- Artificial Intelligence 917
- Statistical and Nonlinear Physics 152
- Information Systems 137
- Molecular Biology 116
- Computer Networks and Communications 78
Countries citing papers authored by John M. Conroy
This map shows the geographic impact of John M. Conroy'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 John M. Conroy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John M. Conroy more than expected).
Fields of papers citing papers by John M. Conroy
This network shows the impact of papers produced by John M. Conroy. 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 John M. Conroy. The network helps show where John M. Conroy may publish in the future.
Co-authorship network of co-authors of John M. Conroy
This figure shows the co-authorship network connecting the top 25 collaborators of John M. Conroy. A scholar is included among the top collaborators of John M. Conroy 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 John M. Conroy. John M. Conroy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 7 | |
| 4 | 4 | |
| 5 | MultiLing 2015: Multilingual Summarization of Single and Multi-Documents, On-line Fora, and Call-center Conversations | 14 |
| 6 | A Decade of Automatic Content Evaluation of News Summaries: Reassessing the State of the Art | 29 |
| 7 | CLASSY 2011 at TAC: Guided and Multi-lingual Summaries and Evaluation Metrics. | 35 |
| 8 | Ranking Human and Machine Summarization Systems | 13 |
| 9 | 17 | |
| 10 | Guiding CLASSY Toward More Responsive Summaries. | 5 |
| 11 | CLASSY 2009: Summarization and Metrics | 6 |
| 12 | CLASSY and TAC 2008 Metrics. | 8 |
| 13 | Sentence Trimming and Selection: Mixing and Matching | 1 |
| 14 | A Hidden Markov Model for the TREC Novelty Task | 2 |
| 15 | From TREC to DUC to TREC Again. | 6 |
| 16 | Performance of a Three-Stage System for Multi-Document Summarization | 11 |
| 17 | Text Summarization via Hidden Markov Models and Pivoted QR Matrix Decomposition | 31 |
| 18 | 21 | |
| 19 | 2 | |
| 20 | 1 |
About John M. Conroy
John M. Conroy is a scholar working on Artificial Intelligence, Hardware and Architecture and Statistical and Nonlinear Physics, having authored 48 papers that have together received 1.1k indexed citations. Recurring topics across this work include Topic Modeling (34 papers), Natural Language Processing Techniques (31 papers) and Advanced Text Analysis Techniques (16 papers). The work is most often cited by research in Artificial Intelligence (917 citations), Computational Mathematics (11 citations) and Statistical and Nonlinear Physics (152 citations). John M. Conroy has collaborated with scholars based in United States, Russia and Egypt. Frequent co-authors include Dianne P. O’Leary, Judith D. Schlesinger, Carey E. Priebe, Hoa Trang Dang, Youngser Park, David J. Marchette, Ani Nenkova, Daniel Dunlavy, Karolina Owczarzak and Tamara G. Kolda. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.
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.