Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
This map shows the geographic impact of Eric Brill'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 Eric Brill with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Brill more than expected).
This network shows the impact of papers produced by Eric Brill. 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 Eric Brill. The network helps show where Eric Brill may publish in the future.
Co-authorship network of co-authors of Eric Brill
This figure shows the co-authorship network connecting the top 25 collaborators of Eric Brill.
A scholar is included among the top collaborators of Eric Brill 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 Eric Brill. Eric Brill is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
20 of 20 papers shown
1.
Agichtein, Eugene, Eric Brill, & Susan Dumais. (2006). Improving Web Search Ranking by Incorporating User Behavior. International ACM SIGIR Conference on Research and Development in Information Retrieval.49 indexed citations
2.
Agichtein, Eugene, Eric Brill, & Susan Dumais. (2006). Improving web search ranking by incorporating user behavior information. 19–26.735 indexed citations breakdown →
Soricut, Radu & Eric Brill. (2004). Automatic Question Answering: Beyond the Factoid.. North American Chapter of the Association for Computational Linguistics. 57–64.68 indexed citations
5.
Cucerzan, Silviu & Eric Brill. (2004). Spelling Correction as an Iterative Process that Exploits the Collective Knowledge of Web Users.. Empirical Methods in Natural Language Processing. 293–300.149 indexed citations
Brill, Eric & John C. Henderson. (1998). Exploiting diversity for natural language processing. 1174.7 indexed citations
14.
Mangu, Lidia & Eric Brill. (1997). Automatic Rule Acquisition for Spelling Correction. International Conference on Machine Learning. 187–194.89 indexed citations
Brill, Eric. (1993). A corpus-based approach to language learning. Scholarly Commons (University of Pennsylvania).174 indexed citations
19.
Brill, Eric, et al.. (1993). An Information-Theoretic Solution to Parameter Setting*. Scholarly Commons (University of Pennsylvania).1 indexed citations
20.
Brill, Eric. (1992). A simple rule-based part of speech tagger. 152–152.939 indexed citations breakdown →
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.