Scott A. Moore

490 citations
28 papers · 352 · h-index 12

Impact in

Papers in

Scott A. Moore

24 papers receiving 301 citations

Peers

Scott A. Moore
Comparison fields: 5 of 54
  • Management Information Systems 97
  • Artificial Intelligence 227
  • Information Systems 108
  • Human-Computer Interaction 20
  • Computer Networks and Communications 74
Replace Ajantha Dahanayake with:
Ajantha Dahanayake Netherlands
Levent V. Orman United States
Timo Käkölä Finland
Padmal Vitharana United States
Amjad Umar United States
W.L. Yeung Hong Kong
Raman Ramsin Iran
Gad Ariav United States
Hermano Perrelli de Moura Brazil
Ivan Mistrík United States
Scott A. Moore relative to Ajantha Dahanayake Netherlands Ajantha Dahanayake's profile →
Citations per field
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Ajantha Dahanayake · 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 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199788
2 200135
3 200225
4 200024
5 199222
6 199320
7 200020
8 199817
9 200315
10 201213
11 199613
12 199512
13 199911
14 20029
15 20237
16 20076
17 20024
18
Declaratively Processing Provenance Metadata
20132
19 20052
20 20062

About Scott A. Moore

Scott A. Moore is a scholar working on Artificial Intelligence, Management Information Systems, Computer Networks and Communications, Management Science and Operations Research and Information Systems, having authored 28 papers that have together received 352 indexed citations. Recurring topics across this work include Multi-Agent Systems and Negotiation (12 papers), Semantic Web and Ontologies (8 papers), Logic, Reasoning, and Knowledge (5 papers), Business Process Modeling and Analysis (4 papers), Service-Oriented Architecture and Web Services (4 papers), Auction Theory and Applications (4 papers), Supply Chain and Inventory Management (4 papers) and Usability and User Interface Design (4 papers). The work is most often cited by research in Management Information Systems (97 citations), Artificial Intelligence (227 citations), Information Systems (108 citations), Human-Computer Interaction (20 citations) and Computer Networks and Communications (74 citations). Scott A. Moore has collaborated with scholars based in United States and Canada. Frequent co-authors include Steven O. Kimbrough, Michael D. Gordon, Kristopher Micinski, Natarajan Shankar and Ashish Gehani. Their work appears in journals such as Information Systems Research, Decision Support Systems, International Journal of Electronic Commerce, Proceedings of the ACM on Programming Languages and Computational Economics.

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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