Scott A. Moore

491 citations
25 papers · 297 · h-index 10

Impact in

Papers in

Scott A. Moore

21 papers receiving 253 citations

Peers

Scott A. Moore
Comparison fields: 5 of 51
  • Management Information Systems 89
  • Artificial Intelligence 182
  • Information Systems 79
  • Human-Computer Interaction 17
  • Management Science and Operations Research 32
Replace Levent V. Orman with:
Levent V. Orman United States
Albertas Čaplinskas Lithuania
Timo K. Käkölä Finland
Palash Bera United States
Dimitris Karagiannis Austria
Amjad Umar United States
W.L. Yeung Hong Kong
Richard D. Hackathorn United States
Cheryl L. Dunn United States
Philipp Offermann Germany
Scott A. Moore relative to Levent V. Orman United States Levent V. Orman's profile →
Citations per field
00.5×1.7×
Levent V. Orman · 1×
Citations per year

Countries citing papers authored by Scott A. Moore

Since Specialization
Citations

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

Fields of papers citing papers by Scott A. Moore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Scott A. Moore. 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 Scott A. Moore. The network helps show where Scott A. Moore may publish in the future.

Co-authors

The 5 scholars most cited alongside Scott A. Moore, 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 Scott A. Moore Line = papers co-authored together Scott A. Moore links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199781
2 200133
3 200225
4 199222
5 200022
6 200019
7 199814
8 199613
9 201212
10 199911
11 199510
12 20238
13 20027
14 20076
15 20024
16 20062
17 20052
18
Declaratively Processing Provenance Metadata
20132
19 20071
20 19921

About Scott A. Moore

Scott A. Moore is a scholar working on Management Information Systems, Artificial Intelligence, Human-Computer Interaction, Management Science and Operations Research and Computer Networks and Communications, having authored 25 papers that have together received 297 indexed citations. Recurring topics across this work include Multi-Agent Systems and Negotiation (9 papers), Semantic Web and Ontologies (7 papers), Logic, Reasoning, and Knowledge (4 papers), Auction Theory and Applications (4 papers), Supply Chain and Inventory Management (4 papers), Usability and User Interface Design (4 papers), Service-Oriented Architecture and Web Services (3 papers) and Business Process Modeling and Analysis (3 papers). The work is most often cited by research in Management Information Systems (89 citations), Artificial Intelligence (182 citations), Information Systems (79 citations), Human-Computer Interaction (17 citations) and Management Science and Operations Research (32 citations). Scott A. Moore has collaborated with scholars based in United States and Canada. Frequent co-authors include Steven Orla Kimbrough, Michael D. Gordon, Kristopher Micinski, Ashish Gehani and Natarajan Shankar. Their work appears in journals such as Decision Support Systems, Information Systems Research, Central Asian Survey, Computational Economics and International Journal of Electronic Commerce.

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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