Arthur Stutt

597 citations
17 papers · 472 · h-index 8

Impact in

Papers in

Arthur Stutt

15 papers receiving 408 citations

Peers

Arthur Stutt
Comparison fields: 5 of 54
  • Artificial Intelligence 400
  • Information Systems 259
  • Computer Science Applications 39
  • Management Information Systems 45
  • Management Science and Operations Research 49
Replace Michael C. Daconta with:
Michael C. Daconta United States
Rose Dieng-Kuntz France
Ralph R. Swick United States
I‐Ching Hsu Taiwan
Henda Hajjami Ben Ghézala Tunisia
Chutiporn Anutariya Thailand
Jos Lehmann Italy
Bruce Krulwich United States
Marja-Riitta Koivunen United States
Frederico Araújo Dur�ão Brazil
Arthur Stutt relative to Michael C. Daconta United States Michael C. Daconta's profile →
Citations per field
00.5×1.7×
Michael C. Daconta · 1×
Citations per year

Countries citing papers authored by Arthur Stutt

Since Specialization
Citations

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

Fields of papers citing papers by Arthur Stutt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside Arthur Stutt, 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 Arthur Stutt Line = papers co-authored together Arthur Stutt links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2002237
2 200483
3 200435
4 199628
5 200318
6
MnM: ontology driven tool for semantic markup
200218
7 200511
8
MnM: A Tool for Automatic Support on Semantic Markup
20047
9 19906
10 20026
11 20076
12 20046
13
A Vital Solution to the Sisyphus II Elevator Design Problem
19945
14 19933
15
Tribalization, e-learning and the Semantic Web
20022
16
Engineering Knowledge in the Age of the Semantic Web: 14th International Conference, EKAW 2004, Whittlebury Hall, UK, October 5-8, 2004. Proceedings
20041
17 20030

About Arthur Stutt

Arthur Stutt is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Computer Science Applications and Sociology and Political Science, having authored 17 papers that have together received 472 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (14 papers), Service-Oriented Architecture and Web Services (7 papers), Web Data Mining and Analysis (3 papers), Advanced Database Systems and Queries (3 papers), Open Education and E-Learning (3 papers), AI-based Problem Solving and Planning (2 papers), Multimedia Communication and Technology (2 papers) and Business Process Modeling and Analysis (1 paper). The work is most often cited by research in Artificial Intelligence (400 citations), Information Systems (259 citations), Computer Science Applications (39 citations), Management Information Systems (45 citations) and Management Science and Operations Research (49 citations). Arthur Stutt has collaborated with scholars based in United Kingdom and Hong Kong. Frequent co-authors include Enrico Motta, John Domingue, Fabio Ciravegna, María Vargas-Vera, Mattia Lanzoni, N. R. Shadbolt, Nigel Shadbolt, Kieron O’Hara, Zdeněk Zdráhal and Martin Džbor. Their work appears in journals such as International Journal of Human-Computer Studies, Journal of Interactive Media in Education, Antiquity, Lecture notes in computer science and International Journal of Knowledge and Learning.

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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