Kyle Williams
Impact in
- Information Systems top 5%
- Information Retrieval and Search Behavior
- Web Data Mining and Analysis
- Recommender Systems and Techniques
Papers in
-
- Web Data Mining and Analysis 11
- Information Retrieval and Search Behavior 6
- Recommender Systems and Techniques 3
- Expert finding and Q&A systems 2
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- Advanced Text Analysis Techniques 4
- Topic Modeling 3
- Co-authors
- C. Lee Giles (13 shared papers)Imed Zitouni (5 shared papers)Aidan C. Crook (4 shared papers)Ahmed Hassan Awadallah (4 shared papers)Madian Khabsa (8 shared papers)Julia Kiseleva (3 shared papers)Jian Wu (8 shared papers)Tasos Anastasakos (2 shared papers)
- Journals
- International Journal of Digital Earth (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (1 paper)
- Partner nations
- United StatesNetherlands
In The Last Decade
Kyle Williams
20 papers receiving 264 citations
Peers
Comparison fields: 5 of 50
- Information Systems and Management 42
- Information Systems 130
- Archeology 6
- Artificial Intelligence 166
- Computer Science Applications 23
Countries citing papers authored by Kyle Williams
This map shows the geographic impact of Kyle Williams'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 Kyle Williams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kyle Williams more than expected).
Fields of papers citing papers by Kyle Williams
This network shows the impact of papers produced by Kyle Williams. 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 Kyle Williams. The network helps show where Kyle Williams may publish in the future.
Co-authors
The 25 scholars most cited alongside Kyle Williams, 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 | 63 | |
| 2 | 2016 | 34 | |
| 3 | 2014 | 30 | |
| 4 | 2015 | 21 | |
| 5 | 2018 | 21 | |
| 6 | 2013 | 19 | |
| 7 | 2014 | 18 | |
| 8 | 2014 | 16 | |
| 9 | Cahokia Archaeology: Field Reports | 1975 | 13 |
| 10 | 2016 | 10 | |
| 11 | 2015 | 8 | |
| 12 | 2014 | 7 | |
| 13 | 2016 | 7 | |
| 14 | 2014 | 4 | |
| 15 | 2009 | 3 | |
| 16 | 2016 | 2 | |
| 17 | 2014 | 1 | |
| 18 | 2016 | 1 | |
| 19 | 2016 | 1 | |
| 20 | 2016 | 1 |
About Kyle Williams
Kyle Williams is a scholar working on Information Systems, Artificial Intelligence, Management Science and Operations Research, Information Systems and Management and Communication, having authored 20 papers that have together received 280 indexed citations. Recurring topics across this work include Web Data Mining and Analysis (11 papers), Data Quality and Management (6 papers), Information Retrieval and Search Behavior (6 papers), Advanced Text Analysis Techniques (4 papers), Scientific Computing and Data Management (3 papers), Recommender Systems and Techniques (3 papers), Topic Modeling (3 papers) and Expert finding and Q&A systems (2 papers). The work is most often cited by research in Information Systems and Management (42 citations), Information Systems (130 citations), Archeology (6 citations), Artificial Intelligence (166 citations) and Computer Science Applications (23 citations). Kyle Williams has collaborated with scholars based in United States and Netherlands. Frequent co-authors include C. Lee Giles, Imed Zitouni, Aidan C. Crook, Ahmed Hassan Awadallah, Madian Khabsa, Julia Kiseleva, Jian Wu, Tasos Anastasakos, Sagnik Ray Choudhury and Suppawong Tuarob. Their work appears in journals such as International Journal of Digital Earth 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.