Andrew Hickl
- Artificial Intelligence top 2%
- Information Systems top 5%
- Molecular Biology
- Computer Vision and Pattern Recognition
- Management Science and Operations Research
- Co-authors
- Sanda M. HarabagiuFinley LăcătuşuDan MoldovanPatrick WangKirk RobertsJohn WilliamsChristine ClarkBryan Rink
- Topics
- Topic Modeling (23 papers)Natural Language Processing Techniques (21 papers)Speech and dialogue systems (7 papers)
- Journals
- Information Processing & ManagementLanguage Resources and EvaluationTheory and applications of categories
- Partner nations
- South KoreaUnited States
In The Last Decade
Andrew Hickl
23 papers receiving 490 citations
Peers
Comparison fields: 5 of 39
- Artificial Intelligence 581
- Information Systems 109
- Molecular Biology 45
- Computer Vision and Pattern Recognition 27
- Management Science and Operations Research 14
Countries citing papers authored by Andrew Hickl
This map shows the geographic impact of Andrew Hickl'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 Andrew Hickl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew Hickl more than expected).
Fields of papers citing papers by Andrew Hickl
This network shows the impact of papers produced by Andrew Hickl. 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 Andrew Hickl. The network helps show where Andrew Hickl may publish in the future.
Co-authorship network of co-authors of Andrew Hickl
This figure shows the co-authorship network connecting the top 25 collaborators of Andrew Hickl. A scholar is included among the top collaborators of Andrew Hickl 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 Andrew Hickl. Andrew Hickl is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | Nonparametric Bayesian Models for Unsupervised Event Coreference Resolution | 10 |
| 3 | Scaling Answer Type Detection to Large Hierarchies | 2 |
| 4 | Unsupervised Resource Creation for Textual Inference Applications. | 6 |
| 5 | Workshop: Application of LCC's GROUNDHOG System for RTE-4. | 4 |
| 6 | 18 | |
| 7 | Machine Reading through Textual and Knowledge Entailment. | 1 |
| 8 | 31 | |
| 9 | LCC's GISTexter at DUC 2007: Machine Reading for Update Summarization | 12 |
| 10 | What in the world is a Shahab?: Wide Coverage Named Entity Recognition for Arabic | 6 |
| 11 | Impact of Question Decomposition on the Quality of Answer Summaries. | 15 |
| 12 | Negation, contrast and contradiction in text processing | 89 |
| 13 | Question Answering with LCC's CHAUCER-2 at TREC 2007 | 33 |
| 14 | 11 | |
| 15 | 5 | |
| 16 | 131 | |
| 17 | 43 | |
| 18 | Employing two question answering systems in TREC-2005 | 48 |
| 19 | Lite-GISTexter at DUC 2005 | 11 |
| 20 | Experiments with Interactive Question Answering in Complex Scenarios | 17 |
About Andrew Hickl
Andrew Hickl is a scholar working on Artificial Intelligence, Hardware and Architecture and Language and Linguistics, having authored 24 papers that have together received 608 indexed citations. Recurring topics across this work include Topic Modeling (23 papers), Natural Language Processing Techniques (21 papers) and Speech and dialogue systems (7 papers). The work is most often cited by research in Artificial Intelligence (581 citations), Information Systems (109 citations) and Computer Science Applications (10 citations). Andrew Hickl has collaborated with scholars based in South Korea and United States. Frequent co-authors include Sanda M. Harabagiu, Finley Lăcătuşu, Dan Moldovan, Patrick Wang, Kirk Roberts, John Williams, Christine Clark, Bryan Rink, Shi Ying and Cosmin A. Bejan. Their work appears in journals such as Information Processing & Management, Language Resources and Evaluation and Theory and applications of categories.
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.