Scott Spangler

1.2k citations
38 papers · 809 · h-index 15

Impact in

Papers in

    • Advanced Text Analysis Techniques 10
    • Semantic Web and Ontologies 8
    • Sentiment Analysis and Opinion Mining 4
    • Web Data Mining and Analysis 6
    • Data Mining Algorithms and Applications 4

Scott Spangler

37 papers receiving 755 citations

Peers

Scott Spangler
Comparison fields: 5 of 117
  • Health Informatics 42
  • Artificial Intelligence 275
  • Management Information Systems 74
  • Information Systems 169
  • Information Systems and Management 50
Replace Yongjun Zhu with:
Yongjun Zhu South Korea
Javed Mostafa United States
Giannis Tzimas Greece
Erik M. van Mulligen Netherlands
Oya Beyan Germany
Francisco M. Couto Portugal
Markus Bundschus Germany
Susie Stephens United States
Dimitar Hristovski Slovenia
Adriane Chapman United Kingdom
Scott Spangler relative to Yongjun Zhu South Korea Yongjun Zhu's profile →
Citations per field
00.5×5.7×
Yongjun Zhu · 1×
Citations per year

Countries citing papers authored by Scott Spangler

Since Specialization
Citations

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

Fields of papers citing papers by Scott Spangler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017129
2 2017111
3 2014101
4 200839
5 200333
6 201031
7 201130
8 200728
9
Mining the Talk: Unlocking the Business Value in Unstructured Information
200728
10 201028
11
Contemporary management of ectopic pregnancy.
198125
12 200921
13 200219
14 200917
15 198916
16 202014
17 201513
18 201112
19 200612
20 201810

About Scott Spangler

Scott Spangler is a scholar working on Artificial Intelligence, Information Systems, Molecular Biology, Management Information Systems and Computer Networks and Communications, having authored 38 papers that have together received 809 indexed citations. Recurring topics across this work include Advanced Text Analysis Techniques (10 papers), Semantic Web and Ontologies (8 papers), Big Data and Business Intelligence (6 papers), Web Data Mining and Analysis (6 papers), Biomedical Text Mining and Ontologies (5 papers), Advanced Database Systems and Queries (4 papers), Data Mining Algorithms and Applications (4 papers) and Sentiment Analysis and Opinion Mining (4 papers). The work is most often cited by research in Health Informatics (42 citations), Artificial Intelligence (275 citations), Management Information Systems (74 citations), Information Systems (169 citations) and Information Systems and Management (50 citations). Scott Spangler has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Jeffrey Kreulen, Keke Cai, Ying Chen, Alix M.B. Lacoste, Jiawei Han, Ying Chen, Ana Lelescu, Rita Sattler, Tina Kovalik and Justin Lessler. Their work appears in journals such as Proceedings of the American Society for Information Science and Technology, Analytical Chemistry, PLoS ONE, Acta Neuropathologica and Journal of Management Information Systems.

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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