Cliff Brunk
- Artificial Intelligence top 10%
- Topic Modeling 2
- Text and Document Classification Technologies 2
- Machine Learning and Data Classification 2
- Neural Networks and Applications 1
- Signal Processing top 10%
- Data Management and Algorithms 2
- Information Systems top 10%
- Web Data Mining and Analysis 2
- Information Retrieval and Search Behavior 1
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- Geographic Information Systems Studies 2
- Co-authors
- Dan GillickOriol VinyalsAmarnag SubramanyaRon KohaviJames D. KellyDmitry PavlovC. Lee GilesZiming Zhuang
- Journals
- Proceedings of the American Society for Information Science and Technology (1 paper)Knowledge Discovery and Data Mining (1 paper)
- Partner nations
- United StatesRussiaUnited Kingdom
In The Last Decade
Cliff Brunk
7 papers receiving 188 citations
Peers
Comparison fields: 5 of 38
- Artificial Intelligence 154
- Signal Processing 46
- Computer Vision and Pattern Recognition 56
- Information Systems 54
- Geography, Planning and Development 7
Countries citing papers authored by Cliff Brunk
This map shows the geographic impact of Cliff Brunk'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 Cliff Brunk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cliff Brunk more than expected).
Fields of papers citing papers by Cliff Brunk
This network shows the impact of papers produced by Cliff Brunk. 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 Cliff Brunk. The network helps show where Cliff Brunk may publish in the future.
Co-authorship network
The 12 scholars most cited alongside Cliff Brunk, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 112 | |
| 2 | 2012 | 5 | |
| 3 | 2010 | 19 | |
| 4 | 2008 | 1 | |
| 5 | 2008 | 12 | |
| 6 | 2002 | 3 | |
| 7 | 1997 | 58 |
About Cliff Brunk
Cliff Brunk is a scholar working on Geography, Planning and Development, Signal Processing, Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition, having authored 7 papers that have together received 210 indexed citations. Recurring topics across this work include Geographic Information Systems Studies (2 papers), Topic Modeling (2 papers), Web Data Mining and Analysis (2 papers), Text and Document Classification Technologies (2 papers), Machine Learning and Data Classification (2 papers), Data Management and Algorithms (2 papers), Information Retrieval and Search Behavior (1 paper) and Neural Networks and Applications (1 paper). The work is most often cited by research in Artificial Intelligence (154 citations), Signal Processing (46 citations), Computer Vision and Pattern Recognition (56 citations), Information Systems (54 citations) and Geography, Planning and Development (7 citations). Cliff Brunk has collaborated with scholars based in United States, Russia and United Kingdom. Frequent co-authors include Dan Gillick, Oriol Vinyals, Amarnag Subramanya, Ron Kohavi, James D. Kelly, Dmitry Pavlov, C. Lee Giles, Ziming Zhuang, Sumit Bhatia and Prasenjit Mitra. Their work appears in journals such as Proceedings of the American Society for Information Science and Technology and Knowledge Discovery and Data Mining.
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.