Andrew Borthwick

1.1k total citations
15 papers, 735 citations indexed

About

Andrew Borthwick is a scholar working on Management Science and Operations Research, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Andrew Borthwick has authored 15 papers receiving a total of 735 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Management Science and Operations Research, 10 papers in Artificial Intelligence and 3 papers in Computer Networks and Communications. Recurrent topics in Andrew Borthwick's work include Data Quality and Management (11 papers), Topic Modeling (6 papers) and Privacy-Preserving Technologies in Data (3 papers). Andrew Borthwick is often cited by papers focused on Data Quality and Management (11 papers), Topic Modeling (6 papers) and Privacy-Preserving Technologies in Data (3 papers). Andrew Borthwick collaborates with scholars based in United States, Switzerland and China. Andrew Borthwick's co-authors include Ralph Grishman, John Sterling, Eugene Agichtein, Satoshi Sekine, Julio Gonzalo, Javier Artiles, Enrique Amigó, Adelene Y. L. Sim, Adam Winkel and Arthur P. Goldberg and has published in prestigious journals such as Journal of Public Health Management and Practice, Theory and applications of categories and Meeting of the Association for Computational Linguistics.

In The Last Decade

Andrew Borthwick

13 papers receiving 602 citations

Peers

Andrew Borthwick
Comparison fields: 5 of 75
  • Artificial Intelligence 641
  • Information Systems 174
  • Management Science and Operations Research 140
  • Molecular Biology 80
  • Computer Vision and Pattern Recognition 32
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Citations per field, relative to Andrew Borthwick
Andrew Borthwick · 1×
Citations per year, relative to Andrew Borthwick
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Countries citing papers authored by Andrew Borthwick

Since Specialization
Citations

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

Fields of papers citing papers by Andrew Borthwick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew Borthwick

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

All Works

15 of 15 papers shown
# Work Indexed citations
1 5
2 4
3 2
4
Intelius-NYU TAC-KBP2012 Cold Start System
1
5
Dynamic Record Blocking: Efficient Linking of Massive Databases in MapReduce
26
6
The Intelius Nickname Collection: Quantitative Analyses from Billions of Public Records
4
7
WePS-3 Evaluation Campaign: Overview of the Web People Search Clustering and Attribute Extraction Tasks.
46
8 11
9
Business Requirements of A Record Matching System.
1
10 6
11
Key Concepts in the ChoiceMaker 2 Record Matching System
16
12
A maximum entropy approach to named entity recognition
331
13
Exploiting diverse knowledge sources via maximum entropy in named entity recognition
138
14
NYU: Description of the MENE Named Entity System as Used in MUC-7
143
15
NYU language modeling experiment for 1996 CSR evaluation
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.

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