Isaac G. Councill
- Artificial Intelligence top 2%
- Information Systems top 2%
- Management Science and Operations Research top 5%
- Molecular Biology
- Computer Networks and Communications top 10%
- Co-authors
- C. Lee GilesMin‐Yen KanRyan McDonaldLeonid VelikovichJian HuangYang SongJia LiHuajing Li
- Topics
- Web Data Mining and Analysis (9 papers)Spam and Phishing Detection (5 papers)Topic Modeling (5 papers)
- Journals
- Language Resources and EvaluationMeeting of the Association for Computational LinguisticsNational Conference on Artificial Intelligence
- Partner nations
- United StatesSingapore
In The Last Decade
Isaac G. Councill
25 papers receiving 629 citations
Peers
Comparison fields: 5 of 55
- Artificial Intelligence 504
- Information Systems 267
- Management Science and Operations Research 139
- Molecular Biology 119
- Computer Networks and Communications 91
Countries citing papers authored by Isaac G. Councill
This map shows the geographic impact of Isaac G. Councill'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 Isaac G. Councill with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Isaac G. Councill more than expected).
Fields of papers citing papers by Isaac G. Councill
This network shows the impact of papers produced by Isaac G. Councill. 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 Isaac G. Councill. The network helps show where Isaac G. Councill may publish in the future.
Co-authorship network of co-authors of Isaac G. Councill
This figure shows the co-authorship network connecting the top 25 collaborators of Isaac G. Councill. A scholar is included among the top collaborators of Isaac G. Councill 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 Isaac G. Councill. Isaac G. Councill is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | SeerSuite: developing a scalable and reliable application framework for building digital libraries by crawling the web | 16 |
| 2 | What's great and what's not: learning to classify the scope of negation for improved sentiment analysis | 113 |
| 3 | 21 | |
| 4 | 27 | |
| 5 | ParsCit: an Open-source CRF Reference String Parsing Package | 185 |
| 6 | 6 | |
| 7 | 3 | |
| 8 | 8 | |
| 9 | 105 | |
| 10 | 41 | |
| 11 | OverCite: a distributed, cooperative citeseer | 17 |
| 12 | 9 | |
| 13 | Characterizing scientific contributions through automatic acknowledgement indexing and citation analysis | 1 |
| 14 | 15 | |
| 15 | Responsibility-Driven Explanation Engineering for Cognitive Models | 3 |
| 16 | DTank: A Competitive Environment for Distributed Agents | 2 |
| 17 | 13 | |
| 18 | 6 | |
| 19 | Explaining Soar: Analysis of Existing Tools and User Information Requirements | 11 |
| 20 | Modeling the Effects of Two Behavior Moderators in ACT-R | 1 |
About Isaac G. Councill
Isaac G. Councill is a scholar working on Information Systems, Artificial Intelligence and Management Science and Operations Research, having authored 25 papers that have together received 704 indexed citations. Recurring topics across this work include Web Data Mining and Analysis (9 papers), Spam and Phishing Detection (5 papers) and Topic Modeling (5 papers). The work is most often cited by research in Artificial Intelligence (504 citations), Information Systems (267 citations) and Management Science and Operations Research (139 citations). Isaac G. Councill has collaborated with scholars based in United States and Singapore. Frequent co-authors include C. Lee Giles, Min‐Yen Kan, Ryan McDonald, Leonid Velikovich, Jian Huang, Yang Song, Jia Li, Huajing Li, Wang-Chien Lee and Hongyuan Zha. Their work appears in journals such as Language Resources and Evaluation, Meeting of the Association for Computational Linguistics and National 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.