Craig W. Thompson

952 citations
42 papers · 581 indexed · h-index 13
Topics
Semantic Web and Ontologies (12 papers)Advanced Database Systems and Queries (11 papers)Distributed and Parallel Computing Systems (7 papers)

In The Last Decade

Craig W. Thompson

38 papers receiving 506 citations

Peers

Craig W. Thompson
Comparison fields: 5 of 88
  • Artificial Intelligence 215
  • Computer Networks and Communications 175
  • Information Systems 130
  • Human-Computer Interaction 117
  • Computer Vision and Pattern Recognition 92
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Countries citing papers authored by Craig W. Thompson

Since Specialization
Citations

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

Fields of papers citing papers by Craig W. Thompson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Craig W. Thompson. 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 Craig W. Thompson. The network helps show where Craig W. Thompson may publish in the future.

Co-authorship network of co-authors of Craig W. Thompson

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 7
3 3
4 5
5 24
6
Automating File Schema Recognition Via Content-Based Oracles.
1
7 12
8 1
9 36
10
Dynamic Composition of Agent Grammars
1
11
Automating Workflow for Data Processing in Grid Architecture.
3
12 4
13 1
14
The changing database standards landscape
1
15
Evaluation of the Object Query Service Submissions to the Object Management Group.
3
16
Querying an Object-Oriented Hypermedia System.
4
17
Menu-Based Natural Language Interfaces to Databases.
1
18
Using menu-based natural language understanding to avoid problems associated with traditional natural language interfaces to databases (transportable, update, nlmenu)
1
19
Building Usable Menu-Based Natural Language Interfaces To Databases
20
20
Language processing via canonical verbs and semantic models
11

About Craig W. Thompson

Craig W. Thompson is a scholar working on Management Information Systems, Computer Networks and Communications and Information Systems and Management, having authored 42 papers that have together received 581 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (12 papers), Advanced Database Systems and Queries (11 papers) and Distributed and Parallel Computing Systems (7 papers). The work is most often cited by research in Human-Computer Interaction (117 citations), Computer Networks and Communications (175 citations) and Artificial Intelligence (215 citations). Craig W. Thompson has collaborated with scholars based in United States, Switzerland and Mexico. Frequent co-authors include Moez Limayem, Harry Tennant, James R. Miller, Fran Hagstrom, Sastry Duri, George Roussos, Taieb Znati, Gary G. Hendrix, Susan Gauch and Jonathan Slocum. Their work appears in journals such as ACM Computing Surveys, ACM SIGMOD Record and IEEE Internet Computing.

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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