Bryan Kisiel
Impact in
- Computational Mathematics top 2%
- Artificial Intelligence top 1%
- Topic Modeling
- Advanced Graph Neural Networks
- Natural Language Processing Techniques
- Semantic Web and Ontologies
- Text and Document Classification Technologies
- Domain Adaptation and Few-Shot Learning
Papers in
-
- Text and Document Classification Technologies 6
- Topic Modeling 5
- Natural Language Processing Techniques 4
- Advanced Text Analysis Techniques 1
-
- Information Retrieval and Search Behavior 2
- Spam and Phishing Detection 1
- Co-authors
- Tom M. Mitchell (3 shared papers)Justin Betteridge (2 shared papers)J. Andrew Carlson (1 shared paper)Estevam Hruschka (1 shared paper)Burr Settles (1 shared paper)Yiming Yang (5 shared papers)Jian Zhang (3 shared papers)Partha Talukdar (2 shared papers)
- Journals
- Theory and applications of categories (3 papers)The Florida AI Research Society (1 paper)Research Showcase @ Carnegie Mellon University (Carnegie Mellon University) (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (1 paper)
- Partner nations
- United StatesSwitzerlandBrazil
In The Last Decade
Bryan Kisiel
12 papers receiving 1.3k citations
Bryan Kisiel's Hit Papers
Peers
Comparison fields: 5 of 67
- Computational Mathematics 49
- Artificial Intelligence 1.2k
- Management Science and Operations Research 201
- Information Systems 309
- Computer Vision and Pattern Recognition 208
Countries citing papers authored by Bryan Kisiel
This map shows the geographic impact of Bryan Kisiel'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 Bryan Kisiel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bryan Kisiel more than expected).
Fields of papers citing papers by Bryan Kisiel
This network shows the impact of papers produced by Bryan Kisiel. 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 Bryan Kisiel. The network helps show where Bryan Kisiel may publish in the future.
Co-authors
The 25 scholars most cited alongside Bryan Kisiel, 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 | Toward an Architecture for Never-Ending Language Learning Hit paper breakdown → | 2010 | 1189 |
| 2 | 2003 | 105 | |
| 3 | 2013 | 58 | |
| 4 | 2005 | 31 | |
| 5 | 2007 | 16 | |
| 6 | 2003 | 8 | |
| 7 | 2003 | 6 | |
| 8 | CMUML System for KBP 2015 Cold Start Slot Filling. | 2015 | 1 |
| 9 | CMUML Micro-Reader System for KBP 2016 Cold Start Slot Filling, Event Nugget Detection, and Event Argument Linking. | 2016 | 1 |
| 10 | CMUML System for KBP 2013 Slot Filling. | 2013 | 1 |
| 11 | Combining Categorization-based and Corpus-based Approaches for CLIR. | 2005 | 1 |
| 12 | 2009 | 1 |
About Bryan Kisiel
Bryan Kisiel is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Information Systems and Management and Signal Processing, having authored 12 papers that have together received 1.4k indexed citations. Recurring topics across this work include Text and Document Classification Technologies (6 papers), Topic Modeling (5 papers), Natural Language Processing Techniques (4 papers), Information Retrieval and Search Behavior (2 papers), Advanced Data Storage Technologies (2 papers), Distributed and Parallel Computing Systems (2 papers), Spam and Phishing Detection (1 paper) and Advanced Text Analysis Techniques (1 paper). The work is most often cited by research in Computational Mathematics (49 citations), Artificial Intelligence (1.2k citations), Management Science and Operations Research (201 citations), Information Systems (309 citations) and Computer Vision and Pattern Recognition (208 citations). Bryan Kisiel has collaborated with scholars based in United States, Switzerland and Brazil. Frequent co-authors include Tom M. Mitchell, Justin Betteridge, J. Andrew Carlson, Estevam Hruschka, Burr Settles, Yiming Yang, Jian Zhang, Partha Talukdar, Matt Gardner and Shinjae Yoo. Their work appears in journals such as Theory and applications of categories, The Florida AI Research Society, Research Showcase @ Carnegie Mellon University (Carnegie Mellon University) and Proceedings of the AAAI 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.