Dayne Freitag
About
In The Last Decade
Dayne Freitag
38 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Artificial Intelligence 2.9k
- Information Systems 1.8k
- Computer Networks and Communications 508
- Computer Vision and Pattern Recognition 438
- Signal Processing 367
Countries citing papers authored by Dayne Freitag
This map shows the geographic impact of Dayne Freitag'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 Dayne Freitag with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dayne Freitag more than expected).
Fields of papers citing papers by Dayne Freitag
This network shows the impact of papers produced by Dayne Freitag. 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 Dayne Freitag. The network helps show where Dayne Freitag may publish in the future.
Co-authorship network of co-authors of Dayne Freitag
This figure shows the co-authorship network connecting the top 25 collaborators of Dayne Freitag. A scholar is included among the top collaborators of Dayne Freitag 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 Dayne Freitag. Dayne Freitag is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 3 | |
| 3 | 8 | |
| 4 | Improving NER in Arabic Using a Morphological Tagger. | 26 |
| 5 | A Sequence Alignment Model Based on the Averaged Perceptron | 12 |
| 6 | NYU-Fair Issac-RWTH Chinese to English entity translation 07 system | 6 |
| 7 | A Critical Survey of the Methodology for IE Evaluation | 11 |
| 8 | Trained Named Entity Recognition using Distributional Clusters. | 39 |
| 9 | 24 | |
| 10 | Consumption of medicinal substancesfor the medication of live-stock in Mecklenburg-Western Pomerania | 2 |
| 11 | Information Extraction with HMM Structures Learned by Stochastic Optimization | 170 |
| 12 | Boosted Wrapper Induction | 137 |
| 13 | 285 | |
| 14 | A Machine Learning Architecture for Optimizing Web Search Engines | 79 |
| 15 | Information extraction from HTML: application of a general machine learning approach | 134 |
| 16 | Learning to extract symbolic knowledge from the World Wide Web | 443 |
| 17 | Multistrategy Learning for Information Extraction | 55 |
| 18 | 14 | |
| 19 | A tour guide for the world wide web | 37 |
| 20 | Web Watcher: A Tour Guide for the World Wide Web. | 425 |
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.