Dustin Hillard
- Artificial Intelligence top 2%
- Information Systems top 5%
- Signal Processing top 10%
- General Social Sciences top 0.5%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Mari OstendorfStephen PurpuraElizabeth ShribergMary P. HarperAndreas StolckeE. ShribergJohn WilkersonYang Liu
- Topics
- Natural Language Processing Techniques (19 papers)Topic Modeling (15 papers)Speech and dialogue systems (10 papers)
- Journals
- IEEE Signal Processing MagazineIEEE Transactions on Audio Speech and Language ProcessingLanguage Resources and Evaluation
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Dustin Hillard
30 papers receiving 777 citations
Peers
Comparison fields: 5 of 67
- Artificial Intelligence 670
- Information Systems 128
- Signal Processing 88
- General Social Sciences 76
- Computer Vision and Pattern Recognition 71
Countries citing papers authored by Dustin Hillard
This map shows the geographic impact of Dustin Hillard'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 Dustin Hillard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dustin Hillard more than expected).
Fields of papers citing papers by Dustin Hillard
This network shows the impact of papers produced by Dustin Hillard. 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 Dustin Hillard. The network helps show where Dustin Hillard may publish in the future.
Co-authorship network of co-authors of Dustin Hillard
This figure shows the co-authorship network connecting the top 25 collaborators of Dustin Hillard. A scholar is included among the top collaborators of Dustin Hillard 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 Dustin Hillard. Dustin Hillard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 24 | |
| 2 | 11 | |
| 3 | 12 | |
| 4 | A Hierarchical Model for Value Estimation in Sponsored Search | 2 |
| 5 | 15 | |
| 6 | Minimally-Supervised Extraction of Entities from Text Advertisements | 24 |
| 7 | 66 | |
| 8 | A COLLABORATIVE FILTERING APPROACH TO SPONSORED SEARCH | 2 |
| 9 | The U.S. Policy Agenda Legislation Corpus Volume 1 - a Language Resource from 1947 - 1998. | 1 |
| 10 | 1 | |
| 11 | 96 | |
| 12 | 36 | |
| 13 | 35 | |
| 14 | 184 | |
| 15 | 41 | |
| 16 | 15 | |
| 17 | 10 | |
| 18 | 46 | |
| 19 | 16 | |
| 20 | 120 |
About Dustin Hillard
Dustin Hillard is a scholar working on Artificial Intelligence, Marketing and Information Systems, having authored 30 papers that have together received 893 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (19 papers), Topic Modeling (15 papers) and Speech and dialogue systems (10 papers). The work is most often cited by research in General Social Sciences (76 citations), Artificial Intelligence (670 citations) and Signal Processing (88 citations). Dustin Hillard has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Mari Ostendorf, Stephen Purpura, Elizabeth Shriberg, Mary P. Harper, Andreas Stolcke, E. Shriberg, John Wilkerson, Yang Liu, Hema Raghavan and Dilek Hakkani‐Tür. Their work appears in journals such as IEEE Signal Processing Magazine, IEEE Transactions on Audio Speech and Language Processing and Language Resources and Evaluation.
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.