Jack G. Conrad
Impact in
- Artificial Intelligence top 5%
- Topic Modeling
- Advanced Text Analysis Techniques
- Sentiment Analysis and Opinion Mining
- Natural Language Processing Techniques
- Text and Document Classification Technologies
- Information Systems top 5%
- Web Data Mining and Analysis
Papers in
-
- Topic Modeling 13
- Sentiment Analysis and Opinion Mining 5
- Natural Language Processing Techniques 3
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- Web Data Mining and Analysis 9
- Data Mining Algorithms and Applications 3
- Digital and Cyber Forensics 3
- Co-authors
- Frank Schilder (5 shared papers)Khalid Al-Kofahi (3 shared papers)Qiang Lü (2 shared papers)Jochen L. Leidner (4 shared papers)Ying Zhao (1 shared paper)George Karypis (1 shared paper)John Zeleznikow (2 shared papers)L. Karl Branting (2 shared papers)
- Journals
- Artificial Intelligence and Law (3 papers)Theory and applications of categories (1 paper)ACM Transactions on Information Systems (1 paper)University of Minnesota Digital Conservancy (University of Minnesota) (1 paper)Journal of the American Society for Information Science and Technology (1 paper)
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Jack G. Conrad
29 papers receiving 294 citations
Peers
Comparison fields: 5 of 44
- Artificial Intelligence 246
- Information Systems 121
- Political Science and International Relations 90
- Management Science and Operations Research 39
- Law 24
Countries citing papers authored by Jack G. Conrad
This map shows the geographic impact of Jack G. Conrad'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 Jack G. Conrad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jack G. Conrad more than expected).
Fields of papers citing papers by Jack G. Conrad
This network shows the impact of papers produced by Jack G. Conrad. 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 Jack G. Conrad. The network helps show where Jack G. Conrad may publish in the future.
Co-authors
The 17 scholars most cited alongside Jack G. Conrad, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 59 | |
| 2 | 2003 | 45 | |
| 3 | 2011 | 37 | |
| 4 | 2005 | 30 | |
| 5 | 2022 | 20 | |
| 6 | 2009 | 14 | |
| 7 | 2008 | 14 | |
| 8 | 2010 | 12 | |
| 9 | 2004 | 11 | |
| 10 | 2021 | 10 | |
| 11 | E-Discovery Revisited: A Broader Perspective for IR Researchers | 2007 | 10 |
| 12 | 2015 | 10 | |
| 13 | Thomson Reuters at TAC 2008: Aggressive Filtering with FastSum for Update and Opinion Summarization. | 2008 | 9 |
| 14 | 2003 | 8 | |
| 15 | Semi-Supervised Events Clustering in News Retrieval. | 2016 | 8 |
| 16 | 2001 | 7 | |
| 17 | 2018 | 6 | |
| 18 | 2001 | 5 | |
| 19 | 2013 | 5 | |
| 20 | 2012 | 5 |
About Jack G. Conrad
Jack G. Conrad is a scholar working on Artificial Intelligence, Information Systems, Political Science and International Relations, Management Science and Operations Research and Law, having authored 29 papers that have together received 345 indexed citations. Recurring topics across this work include Topic Modeling (13 papers), Artificial Intelligence in Law (11 papers), Web Data Mining and Analysis (9 papers), Data Quality and Management (6 papers), Sentiment Analysis and Opinion Mining (5 papers), Data Mining Algorithms and Applications (3 papers), Digital and Cyber Forensics (3 papers) and Natural Language Processing Techniques (3 papers). The work is most often cited by research in Artificial Intelligence (246 citations), Information Systems (121 citations), Political Science and International Relations (90 citations), Management Science and Operations Research (39 citations) and Law (24 citations). Jack G. Conrad has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Frank Schilder, Khalid Al-Kofahi, Qiang Lü, Jochen L. Leidner, Ying Zhao, George Karypis, John Zeleznikow, L. Karl Branting, Andrew Vold and Michael A. Bender. Their work appears in journals such as Artificial Intelligence and Law, Theory and applications of categories, ACM Transactions on Information Systems, University of Minnesota Digital Conservancy (University of Minnesota) and Journal of the American Society for Information Science and Technology.
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.