J. Nathan Foster

1.9k citations
19 papers · 711 indexed · h-index 12

J. Nathan Foster

19 papers receiving 646 citations

Peers

J. Nathan Foster
Comparison fields: 5 of 37
  • Artificial Intelligence 449
  • Computer Networks and Communications 331
  • Information Systems 310
  • Software 253
  • Information Systems and Management 128
Replace Alan Schmitt with:
Alan Schmitt France
Doug Kimelman United States
Sai Deep Tetali United States
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Pascal Fradet France
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J. Nathan Foster relative to Alan Schmitt France Alan Schmitt's profile →
Citations per field
00.5×2.6×
Alan Schmitt · 1×
Citations per year

Countries citing papers authored by J. Nathan Foster

Since Specialization
Citations

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

Fields of papers citing papers by J. Nathan Foster

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. Nathan Foster. 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 J. Nathan Foster. The network helps show where J. Nathan Foster may publish in the future.

Co-authorship network of co-authors of J. Nathan Foster

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

All Works

19 of 19 papers shown
#WorkIndexed citations
1 1
2 23
3
Bidirectional programming languages
19
4
Bidirectional Transformations: A Cross-Discipline Perspective GRACE Meeting Notes, State of the Art, and Outlook
11
5 106
6
An Algebraic Approach to View Maintenance for XQuery.
5
7 32
8 40
9 65
10 8
11
Caching and Replication in Mobile Data Management.
12
12 223
13
A Logic Your Typechecker Can Count On: Unordered Tree Types in Practice
8
14
A Theory of Featherweight Java in Isabelle/HOL.
3
15 31
16
Schema-Directed Data Synchronization
3
17 20
18 98
19
Rupiah: Towards an Expressive Static Type System for Java
3

About J. Nathan Foster

J. Nathan Foster is a scholar working on Software, Hardware and Architecture and Computer Networks and Communications, having authored 19 papers that have together received 711 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (7 papers), Model-Driven Software Engineering Techniques (6 papers) and Logic, programming, and type systems (6 papers). The work is most often cited by research in Software (253 citations), Information Systems and Management (128 citations) and Computer Networks and Communications (331 citations). J. Nathan Foster has collaborated with scholars based in United States, France and Denmark. Frequent co-authors include Benjamin C. Pierce, Alan Schmitt, Michael B. Greenwald, Jonathan T. Moore, Aaron Bohannon, Val Tannen, Todd J. Green, Steve Zdancewic, Grigoris Karvounarakis and Krzysztof Czarnecki. Their work appears in journals such as Journal of Computer and System Sciences, ACM SIGPLAN Notices and ACM Transactions on Programming Languages and Systems.

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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