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.
Countries citing papers authored by Ralph Weischedel
Since
Specialization
Citations
This map shows the geographic impact of Ralph Weischedel'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 Ralph Weischedel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ralph Weischedel more than expected).
Fields of papers citing papers by Ralph Weischedel
This network shows the impact of papers produced by Ralph Weischedel. 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 Ralph Weischedel. The network helps show where Ralph Weischedel may publish in the future.
Co-authorship network of co-authors of Ralph Weischedel
This figure shows the co-authorship network connecting the top 25 collaborators of Ralph Weischedel.
A scholar is included among the top collaborators of Ralph Weischedel 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 Ralph Weischedel. Ralph Weischedel is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Min, Bonan, et al.. (2018). When ACE met KBP: End-to-End Evaluation of Knowledge Base Population with Component-level Annotation.. Language Resources and Evaluation.1 indexed citations
3.
Min, Bonan, Zhuolin Jiang, Marjorie Freedman, & Ralph Weischedel. (2017). Learning Transferable Representation for Bilingual Relation Extraction via Convolutional Neural Networks. International Joint Conference on Natural Language Processing. 1. 674–684.4 indexed citations
4.
Freedman, Marjorie, et al.. (2011). Language Use: What can it tell us?. Meeting of the Association for Computational Linguistics. 341–345.7 indexed citations
5.
Shen, Libin, Bing Zhang, Spyros Matsoukas, Jinxi Xu, & Ralph Weischedel. (2010). Statistical Machine Translation with a Factorized Grammar. Empirical Methods in Natural Language Processing. 616–625.2 indexed citations
6.
Freedman, Marjorie, Edward Loper, Elizabeth Boschee, & Ralph Weischedel. (2010). Empirical Studies in Learning to Read. North American Chapter of the Association for Computational Linguistics. 61–69.4 indexed citations
7.
Shen, Libin, Jinxi Xu, & Ralph Weischedel. (2008). A New String-to-Dependency Machine Translation Algorithm with a Target Dependency Language Model. Meeting of the Association for Computational Linguistics. 577–585.179 indexed citations
Xu, Jinxi, et al.. (2003). TREC 2003 QA at BBN: Answering Definitional Questions.. Text REtrieval Conference. 98–106.49 indexed citations
10.
Xu, Jinxi, Alexander Fraser, & Ralph Weischedel. (2002). TREC 2001 cross-lingual retrieval at BBN. Defense Technical Information Center (DTIC). 68–77.70 indexed citations
11.
Xu, Jinxi, et al.. (2002). TREC 2002 QA at BBN: Answer Selection and Confidence Estimation.. Text REtrieval Conference.28 indexed citations
12.
Schwartz, Richard, et al.. (2000). Annotating Resources for Information Extraction. Language Resources and Evaluation.9 indexed citations
13.
Miller, S.L., Heidi Fox, Lance Ramshaw, & Ralph Weischedel. (2000). A novel use of statistical parsing to extract information from text. The COCOON platform (University of Paris). 226–233.129 indexed citations
14.
Weischedel, Ralph, et al.. (1993). Coping with ambiguity and unknown words through probabilistic models. Computational Linguistics. 19(2). 361–382.178 indexed citations
15.
Meteer, Marie, Richard Schwartz, & Ralph Weischedel. (1991). POST: using probabilities in language processing. International Joint Conference on Artificial Intelligence. 960–965.22 indexed citations
16.
Weischedel, Ralph, et al.. (1989). NATURAL-LANGUAGE PROCESSING. ScholarWorks@UMassAmherst (University of Massachusetts Amherst). 4.
17.
Reitman, Walter, et al.. (1985). Automated Information Management Technology (AIM-TECH): Considerations for a Technology Investment Strategy.. Defense Technical Information Center (DTIC).2 indexed citations
18.
Joshi, Aravind K., Bonnie Webber, & Ralph Weischedel. (1984). Living up to expectations: computing expert responses. ScholarlyCommons (University of Pennsylvania). 169–175.55 indexed citations
19.
Joshi, Aravind K., Bonnie Webber, & Ralph Weischedel. (1984). Default Reasoning in Interaction.. 144–150.10 indexed citations
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.