Alexander Yates
About
In The Last Decade
Alexander Yates
46 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 99
- Artificial Intelligence 2.1k
- Information Systems 755
- Management Science and Operations Research 333
- Computer Networks and Communications 180
- Computer Vision and Pattern Recognition 179
Countries citing papers authored by Alexander Yates
This map shows the geographic impact of Alexander Yates'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 Alexander Yates with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexander Yates more than expected).
Fields of papers citing papers by Alexander Yates
This network shows the impact of papers produced by Alexander Yates. 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 Alexander Yates. The network helps show where Alexander Yates may publish in the future.
Co-authorship network of co-authors of Alexander Yates
This figure shows the co-authorship network connecting the top 25 collaborators of Alexander Yates. A scholar is included among the top collaborators of Alexander Yates 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 Alexander Yates. Alexander Yates is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 5 | |
| 3 | 11 | |
| 4 | 6 | |
| 5 | 41 | |
| 6 | Semantic Parsing Freebase: Towards Open-domain Semantic Parsing | 25 |
| 7 | Large-scale Semantic Parsing via Schema Matching and Lexicon Extension | 154 |
| 8 | Biased Representation Learning for Domain Adaptation | 13 |
| 9 | Linking Named Entities to Any Database | 17 |
| 10 | Automatic Grading of Scientific Inquiry | 5 |
| 11 | Semi-supervised Representation Learning for Domain Adaptation using Dynamic Dependency Networks | 1 |
| 12 | Extracting STRIPS Representations of Actions and Events | 19 |
| 13 | Types of Common-Sense Knowledge Needed for Recognizing Textual Entailment | 43 |
| 14 | Extracting Action and Event Semantics from Web Text | 20 |
| 15 | Extracting Glosses to Disambiguate Word Senses | 10 |
| 16 | Open-Domain Semantic Role Labeling by Modeling Word Spans | 15 |
| 17 | 10 | |
| 18 | Unsupervised Resolution of Objects and Relations on the Web | 54 |
| 19 | Methods for domain-independent information extraction from the web: an experimental comparison | 73 |
| 20 | PRECISE on ATIS: semantic tractability and experimental results | 3 |
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.