Scott Spangler

1.2k citations
34 papers · 673 · h-index 14

Impact in

Papers in

Scott Spangler

33 papers receiving 635 citations

Peers

Scott Spangler
Comparison fields: 5 of 114
  • Health Informatics 31
  • Management Information Systems 62
  • Artificial Intelligence 223
  • Information Systems and Management 43
  • Information Systems 136
Replace Yongjun Zhu with:
Yongjun Zhu South Korea
Oya Beyan Germany
Markus Bundschus Germany
Erik M. van Mulligen Netherlands
Xiaodong Feng China
Simon Baker United Kingdom
Tania Tudorache United States
Francisco M. Couto Portugal
Adriane Chapman United Kingdom
John R. Talburt United States
Scott Spangler relative to Yongjun Zhu South Korea Yongjun Zhu's profile →
Citations per field
00.5×
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 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017107
2 2017103
3 201477
4 200833
5 201029
6 200328
7 201028
8
Mining the Talk: Unlocking the Business Value in Unstructured Information
200727
9 201127
10
Contemporary management of ectopic pregnancy.
198125
11 200725
12 200918
13 200216
14 200916
15 202013
16 201511
17
Mining the Talk: Unlocking the Business Value in Unstructured Information (IBM Press)
200710
18 201110
19 20189
20 20198

About Scott Spangler

Scott Spangler is a scholar working on Artificial Intelligence, Information Systems, Molecular Biology, Management Information Systems and Information Systems and Management, having authored 34 papers that have together received 673 indexed citations. Recurring topics across this work include Advanced Text Analysis Techniques (10 papers), Semantic Web and Ontologies (7 papers), Biomedical Text Mining and Ontologies (6 papers), Web Data Mining and Analysis (6 papers), Big Data and Business Intelligence (5 papers), Sentiment Analysis and Opinion Mining (4 papers), Scientific Computing and Data Management (4 papers) and Complex Network Analysis Techniques (3 papers). The work is most often cited by research in Health Informatics (31 citations), Management Information Systems (62 citations), Artificial Intelligence (223 citations), Information Systems and Management (43 citations) and Information Systems (136 citations). Scott Spangler has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Jeffrey Kreulen, Keke Cai, Ying Chen, Jiawei Han, Alix M.B. Lacoste, Ana Lelescu, Ying Chen, Justin Lessler, Rita Sattler and Nadine Bakkar. Their work appears in journals such as World Patent Information, Data Mining and Knowledge Discovery, Acta Neuropathologica, Proceedings of the American Society for Information Science and Technology and Analytical Chemistry.

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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