Scott Moore

1.2k citations
41 papers · 899 · h-index 16

Impact in

Papers in

Scott Moore

38 papers receiving 844 citations

Peers

Scott Moore
Comparison fields: 5 of 94
  • Environmental Engineering 199
  • Ocean Engineering 139
  • Water Science and Technology 109
  • Signal Processing 85
  • Political Science and International Relations 179
Replace Anka Lisec with:
Anka Lisec Slovenia
Florent Joerin Canada
Yanhui Wang China
Lasse Møller-Jensen Denmark
Lun Liu China
Chitresh Saraswat Japan
Cate Fox‐Lent United States
Debra Knopman United States
Rongjin Yang China
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Citations per field
00.5×2×4×6×7.7×
Anka Lisec · 1×
Citations per year

Countries citing papers authored by Scott Moore

Since Specialization
Citations

This map shows the geographic impact of Scott 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 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 Moore more than expected).

Fields of papers citing papers by Scott Moore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015288
2 201497
3 201457
4 201437
5 201530
6 201229
7 201129
8 202125
9 201724
10 201822
11 201220
12 198619
13 201119
14 201818
15 201417
16 201716
17 201715
18 201715
19 201513
20 201113

About Scott Moore

Scott Moore is a scholar working on Sociology and Political Science, Political Science and International Relations, Artificial Intelligence, Ocean Engineering and Signal Processing, having authored 41 papers that have together received 899 indexed citations. Recurring topics across this work include Transboundary Water Resource Management (11 papers), Security and Verification in Computing (10 papers), Water Governance and Infrastructure (8 papers), Hydropower, Displacement, Environmental Impact (6 papers), China's Socioeconomic Reforms and Governance (6 papers), Water resources management and optimization (5 papers), Advanced Malware Detection Techniques (5 papers) and Logic, programming, and type systems (4 papers). The work is most often cited by research in Environmental Engineering (199 citations), Ocean Engineering (139 citations), Water Science and Technology (109 citations), Signal Processing (85 citations) and Political Science and International Relations (179 citations). Scott Moore has collaborated with scholars based in United States, United Kingdom and Denmark. Frequent co-authors include Dabo Guan, Zhu Liu, Qiang Zhang, Henry Lee, Jun Su, Stephen Chong, Joshua B. Fisher, Aslan Askarov, Christos Dimoulas and James E. Nickum. Their work appears in journals such as ACM SIGPLAN Notices, The China Quarterly, International Journal of Water Resources Development, Water Policy and Publius The Journal of Federalism.

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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