Alan Ritter
About
In The Last Decade
Alan Ritter
65 papers receiving 4.8k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Artificial Intelligence 4.4k
- Information Systems 880
- Computer Vision and Pattern Recognition 617
- Statistical and Nonlinear Physics 466
- Sociology and Political Science 324
Countries citing papers authored by Alan Ritter
This map shows the geographic impact of Alan Ritter'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 Alan Ritter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alan Ritter more than expected).
Fields of papers citing papers by Alan Ritter
This network shows the impact of papers produced by Alan Ritter. 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 Alan Ritter. The network helps show where Alan Ritter may publish in the future.
Co-authorship network of co-authors of Alan Ritter
This figure shows the co-authorship network connecting the top 25 collaborators of Alan Ritter. A scholar is included among the top collaborators of Alan Ritter 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 Alan Ritter. Alan Ritter is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 21 | |
| 3 | 0 | |
| 4 | A Focused Study to Compare Arabic Pre-training Models on Newswire IE Tasks | 2 |
| 5 | GigaBERT: Zero-shot Transfer Learning from English to Arabic | 14 |
| 6 | 42 | |
| 7 | Adversarial Learning for Neural Dialogue Generation breakdown → | 467 |
| 8 | Results of the WNUT16 Named Entity Recognition Shared Task | 66 |
| 9 | 234 | |
| 10 | Shared Tasks of the 2015 Workshop on Noisy User-generated Text: Twitter Lexical Normalization and Named Entity Recognition | 48 |
| 11 | Assuming Facts Are Expressed More Than Once. | 1 |
| 12 | Gathering and Generating Paraphrases from Twitter with Application to Normalization | 24 |
| 13 | Twitter Part-of-Speech Tagging for All: Overcoming Sparse and Noisy Data | 168 |
| 14 | Paraphrasing for Style | 49 |
| 15 | Extracting knowledge from Twitter and the web | 3 |
| 16 | A Latent Dirichlet Allocation Method for Selectional Preferences | 107 |
| 17 | Machine Reading at the University of Washington | 22 |
| 18 | Unsupervised Modeling of Twitter Conversations | 257 |
| 19 | What Is This, Anyway: Automatic Hypernym Discovery. | 70 |
| 20 | Machine Learning Approach to Tuning Distributed Operating System Load Balancing Algorithms. | 1 |
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.