Dan Connolly

1.3k citations
17 papers · 718 · h-index 12

Impact in

Papers in

Dan Connolly

17 papers receiving 628 citations

Peers

Dan Connolly
Comparison fields: 5 of 114
  • Artificial Intelligence 418
  • Information Systems 260
  • Information Systems and Management 60
  • Computer Networks and Communications 183
  • Health Information Management 37
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Citations per field
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Citations per year

Countries citing papers authored by Dan Connolly

Since Specialization
Citations

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

Fields of papers citing papers by Dan Connolly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Dan Connolly, 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 Dan Connolly Line = papers co-authored together Dan Connolly links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1
Tabulator: Exploring and Analyzing linked data on the Semantic Web
2006255
2 2008108
3
Expressing observations from electronic medical record flowsheets in an i2b2 based clinical data repository to support research and quality improvement.
201192
4 201549
5 201444
6
Using semantic web technologies for policy management on the web
200642
7
XML principles, tools, and techniques
199735
8
Delta: an ontology for the distribution of differences between RDF graphs
200423
9
The evolution of Web documents: the ascent of XML
199717
10
XML for Dummies
199813
11 200611
12
Experience with N3 rules.
200511
13 19988
14 20067
15 19981
16
A Lexical Analyzer for HTML and Basic SGML.
19961
17 20091

About Dan Connolly

Dan Connolly is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Molecular Biology and Sociology and Political Science, having authored 17 papers that have together received 718 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (3 papers), Service-Oriented Architecture and Web Services (3 papers), Logic, Reasoning, and Knowledge (2 papers), Access Control and Trust (2 papers), Biomedical Text Mining and Ontologies (2 papers), Advanced Database Systems and Queries (2 papers), Vestibular and auditory disorders (1 paper) and Hermeneutics and Narrative Identity (1 paper). The work is most often cited by research in Artificial Intelligence (418 citations), Information Systems (260 citations), Information Systems and Management (60 citations), Computer Networks and Communications (183 citations) and Health Information Management (37 citations). Dan Connolly has collaborated with scholars based in United States and Saudi Arabia. Frequent co-authors include Tim Berners‐Lee, Lalana Kagal, Lydia B. Chilton, Adam Lerer, Lemuel R. Waitman, D. Nathan Sheets, Judith J. Warren, James Hendler, Daniel J. Weitzner and Lauren S. Aaronson. Their work appears in journals such as IEEE Internet Computing, Journal of Vestibular Research, Theory and Practice of Logic Programming, Nature and World Wide Web.

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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