Breck Baldwin

1.1k total citations
14 papers, 695 citations indexed

About

Breck Baldwin is a scholar working on Artificial Intelligence, Molecular Biology and Management Science and Operations Research. According to data from OpenAlex, Breck Baldwin has authored 14 papers receiving a total of 695 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 1 paper in Molecular Biology and 1 paper in Management Science and Operations Research. Recurrent topics in Breck Baldwin's work include Natural Language Processing Techniques (8 papers), Semantic Web and Ontologies (7 papers) and Topic Modeling (6 papers). Breck Baldwin is often cited by papers focused on Natural Language Processing Techniques (8 papers), Semantic Web and Ontologies (7 papers) and Topic Modeling (6 papers). Breck Baldwin collaborates with scholars based in United States. Breck Baldwin's co-authors include Amit Bagga, Thomas Morton, Bonnie Webber, Alexis Dimitriadis, Magdalena Wolska, Srinivas Bachu, Christine Doran, Jason Baldridge, Gabriel Murray and Jeffrey C. Reynar and has published in prestigious journals such as SHILAP Revista de lepidopterología, Empirical Methods in Natural Language Processing and The COCOON platform (University of Paris).

In The Last Decade

Breck Baldwin

13 papers receiving 586 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Breck Baldwin United States	8	620	190	122	66	46	14	695
Amit Bagga United States	10	571 0.9×	192 1.0×	166 1.4×	64 1.0×	67 1.5×	30	691
Taylor Cassidy United States	12	502 0.8×	85 0.4×	73 0.6×	61 0.9×	39 0.8×	21	550
Michael Wick United States	13	427 0.7×	139 0.7×	98 0.8×	52 0.8×	54 1.2×	29	506
Congle Zhang United States	7	673 1.1×	97 0.5×	104 0.9×	59 0.9×	14 0.3×	8	714
Andrew Borthwick United States	7	641 1.0×	140 0.7×	174 1.4×	80 1.2×	31 0.7×	15	735
Páraic Sheridan Ireland	13	451 0.7×	39 0.2×	160 1.3×	26 0.4×	27 0.6×	25	530
Chris Hokamp Ireland	8	512 0.8×	50 0.3×	92 0.8×	43 0.7×	18 0.4×	20	552
Tom Kenter Netherlands	9	391 0.6×	38 0.2×	130 1.1×	27 0.4×	42 0.9×	19	490
Yee Fan Tan Singapore	8	305 0.5×	97 0.5×	116 1.0×	54 0.8×	15 0.3×	18	372
Joel Nothman Australia	12	893 1.4×	169 0.9×	123 1.0×	63 1.0×	20 0.4×	30	969

Countries citing papers authored by Breck Baldwin

Since Specialization

Citations

This map shows the geographic impact of Breck Baldwin'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 Breck Baldwin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Breck Baldwin more than expected).

Fields of papers citing papers by Breck Baldwin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Breck Baldwin. 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 Breck Baldwin. The network helps show where Breck Baldwin may publish in the future.

Co-authorship network of co-authors of Breck Baldwin

This figure shows the co-authorship network connecting the top 25 collaborators of Breck Baldwin. A scholar is included among the top collaborators of Breck Baldwin 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 Breck Baldwin. Breck Baldwin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

14 of 14 papers shown

1.

Baldwin, Breck, Lauren Reese, Jan Neumann, et al.. (2023). Simulating Humans at Scale to Evaluate Voice Interfaces for TVs: the Round-Trip System at Comcast. 1279–1280.

2.

Baldwin, Breck. (2022). Deep learning does not replace Bayesian modeling: Comparing research use via citation counting. SHILAP Revista de lepidopterología. 3(1). 1 indexed citations

3.

Baldwin, Breck, et al.. (2014). Natural Language Processing with Java and LingPipe Cookbook. 7 indexed citations

4.

Bagga, Amit & Breck Baldwin. (1999). Cross-document event coreference. 1–1. 46 indexed citations

5.

Bagga, Amit, et al.. (1999). Proceedings of the Workshop on Coreference and its Applications. 1 indexed citations

6.

Baldwin, Breck & Thomas Morton. (1998). Dynamic Coreference-Based Summarization. Empirical Methods in Natural Language Processing. 1–6. 53 indexed citations

7.

Baldwin, Breck. (1998). Coreference as the Foundations for Link Analysis over Free Text Databases. 4 indexed citations

8.

Bagga, Amit & Breck Baldwin. (1998). Entity-based cross-document coreferencing using the Vector Space Model. 1. 79–79. 344 indexed citations

9.

Baldwin, Breck, Thomas Morton, Amit Bagga, et al.. (1998). Description of the UPENN CAMP System as Used for Coreference.. 10 indexed citations

10.

Bagga, Amit & Breck Baldwin. (1998). Entity-based cross-document coreferencing using the Vector Space Model. 1. 79–79. 130 indexed citations

11.

Baldwin, Breck, et al.. (1997). EAGLE: an extensible architecture for general linguistic engineering. The COCOON platform (University of Paris). 271–283. 4 indexed citations

12.

Baldwin, Breck, et al.. (1997). EAGLE. 23–23. 2 indexed citations

13.

Baldwin, Breck. (1997). CogNIAC. 38–45. 86 indexed citations

14.

Webber, Bonnie & Breck Baldwin. (1992). Accommodating context change. 96–103. 7 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.

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