Ian Niles

2.4k citations
8 papers · 1.3k · 1 hit paper · h-index 7

Impact in

Papers in

    • Semantic Web and Ontologies 6
    • Natural Language Processing Techniques 3
    • Advanced Computational Techniques and Applications 1
    • Topic Modeling 1
    • Service-Oriented Architecture and Web Services 3

Ian Niles

8 papers receiving 1.1k citations

Ian Niles's Hit Papers

Towards a standard upper ontology 2001 · 909 citations
9090+8+16Years since publication250500750

Peers

Ian Niles
Comparison fields: 5 of 74
  • Artificial Intelligence 1.1k
  • Information Systems 418
  • Management Information Systems 99
  • Computer Networks and Communications 200
  • Signal Processing 92
Replace Leo Obrst with:
Leo Obrst United States
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Claudio Masolo Italy
Marco Schorlemmer Spain
James G. Schmolze United States
Oliver Kutz Germany
Vinay K. Chaudhri United States
Volker Haarslev Canada
Zuhair Bandar United Kingdom
Stefan Conrad Germany
Ian Niles relative to Leo Obrst United States Leo Obrst's profile →
Citations per field
00.5×1.5×1.9×
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Citations per year

Countries citing papers authored by Ian Niles

Since Specialization
Citations

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

Fields of papers citing papers by Ian Niles

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 2 scholars most cited alongside Ian Niles, 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 Ian Niles Line = papers co-authored together Ian Niles links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1
Towards a standard upper ontology
Hit paper breakdown →
2001909
2
The Suggested Upper Merged Ontology: A Large Ontology for the Semantic Web and its Applic ations
2002167
3
Linking Lixicons and Ontologies: Mapping WordNet to the Suggested Upper Merged Ontology.
2003149
4 200244
5
Mapping WordNet to the SUMO Ontology
200328
6
The MILO: A General-purpose, Mid-level Ontology.
200419
7
Origins of the IEEE Standard Upper Ontology
200112
8 19972

About Ian Niles

Ian Niles is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, General Health Professions and Philosophy, having authored 8 papers that have together received 1.3k indexed citations. Recurring topics across this work include Semantic Web and Ontologies (6 papers), Natural Language Processing Techniques (3 papers), Service-Oriented Architecture and Web Services (3 papers), Hermeneutics and Narrative Identity (1 paper), Aging, Elder Care, and Social Issues (1 paper), Advanced Database Systems and Queries (1 paper), Advanced Computational Techniques and Applications (1 paper) and Topic Modeling (1 paper). The work is most often cited by research in Artificial Intelligence (1.1k citations), Information Systems (418 citations), Management Information Systems (99 citations), Computer Networks and Communications (200 citations) and Signal Processing (92 citations). Ian Niles has collaborated with scholars based in United States. Frequent co-authors include Adam Pease and John Li. Their work appears in journals such as Philosophia and The Knowledge Engineering Review.

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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