James Cheney

6.7k citations
159 papers · 4.5k · 2 hit papers · h-index 30

Impact in

Papers in

James Cheney

155 papers receiving 4.2k citations

James Cheney's Hit Papers

Provenance in Databases: Why, How, and Where 2009 · 410 citations
4100+8+16Years since publication100200300400

Peers

James Cheney
Comparison fields: 5 of 88
  • Information Systems and Management 852
  • Artificial Intelligence 2.7k
  • Software 270
  • Computer Networks and Communications 981
  • Information Systems 641
Replace Susan B. Davidson with:
Susan B. Davidson United States
Christopher Olston United States
Wang-Chiew Tan United States
Sergey Melnik United States
Avi Silberschatz United States
Benjamin C. Reed United States
Daniela Florescu United States
Utkarsh Srivastava United States
Laura Chiticariu United States
Jan Van den Bussche Belgium
James Cheney relative to Susan B. Davidson United States Susan B. Davidson's profile →
Citations per field
00.5×2×2.7×
Susan B. Davidson · 1×
Citations per year

Countries citing papers authored by James Cheney

Since Specialization
Citations

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

Fields of papers citing papers by James Cheney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside James Cheney, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with James Cheney Line = papers co-authored together James Cheney links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 159 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Cyclone: A Safe Dialect of C
Hit paper breakdown →
2002454
2
Provenance in Databases: Why, How, and Where
Hit paper breakdown →
2009410
3 2002303
4 2004260
5 2006212
6
PROV-DM: The PROV Data Model
2013184
7 2013153
8 2002142
9 200899
10 200297
11 200884
12 200978
13 201574
14 201572
15 201268
16 200464
17
8th USENIX Workshop on the Theory and Practice of Provenance (TaPP '16)
201662
18 201360
19 201258
20 200752

About James Cheney

James Cheney is a scholar working on Artificial Intelligence, Information Systems and Management, Computer Networks and Communications, Software and Information Systems, having authored 159 papers that have together received 4.5k indexed citations. Recurring topics across this work include Logic, programming, and type systems (77 papers), Scientific Computing and Data Management (38 papers), Advanced Database Systems and Queries (36 papers), Semantic Web and Ontologies (22 papers), Access Control and Trust (16 papers), Logic, Reasoning, and Knowledge (9 papers), Research Data Management Practices (7 papers) and Model-Driven Software Engineering Techniques (6 papers). The work is most often cited by research in Information Systems and Management (852 citations), Artificial Intelligence (2.7k citations), Software (270 citations), Computer Networks and Communications (981 citations) and Information Systems (641 citations). James Cheney has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Wang-Chiew Tan, Peter Buneman, Laura Chiticariu, Murdoch J. Gabbay, Dan Grossman, Trevor Jim, Michael Hicks, Stijn Vansummeren, Adriane P. Chapman and Yan-Ling Wang. Their work appears in journals such as ACM SIGPLAN Notices, Proceedings of the ACM on Programming Languages, ACM SIGMOD Record, Journal of Automated Reasoning and Lecture notes in computer science.

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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