Scott Spangler
Impact in
- Health Informatics top 5%
- Management Information Systems top 10%
- Big Data and Business Intelligence
Papers in
-
- Scientific Computing and Data Management 4
- Co-authors
- Jeffrey KreulenYing ChenKeke CaiJiawei HanAlix M.B. LacosteJustin LesslerAna LelescuRobert Bowser
- Journals
- Data Mining and Knowledge Discovery (1 paper)Acta Neuropathologica (1 paper)Proceedings of the American Society for Information Science and Technology (1 paper)Analytical Chemistry (1 paper)Journal of Management Information Systems (1 paper)
- Partner nations
- United StatesChinaAustria
In The Last Decade
Scott Spangler
33 papers receiving 635 citations
Peers
Comparison fields: 5 of 114
- Health Informatics 31
- Management Information Systems 62
- Artificial Intelligence 223
- Information Systems and Management 43
- Information Systems 136
Countries citing papers authored by Scott Spangler
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
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-authorship network
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 1 | |
| 2 | Accelerating Discovery: Mining Unstructured Information for Hypothesis Generation | 2020 | 3 |
| 3 | 2019 | 8 | |
| 4 | 2019 | 5 | |
| 5 | 2018 | 5 | |
| 6 | 2018 | 9 | |
| 7 | 2017 | 103 | |
| 8 | 2016 | 0 | |
| 9 | 2015 | 11 | |
| 10 | 2012 | 3 | |
| 11 | 2011 | 10 | |
| 12 | 2010 | 4 | |
| 13 | 2010 | 29 | |
| 14 | 2009 | 18 | |
| 15 | Mining the Talk: Unlocking the Business Value in Unstructured Information (IBM Press) | 2007 | 10 |
| 16 | Mining the Talk: Unlocking the Business Value in Unstructured Information | 2007 | 27 |
| 17 | 2003 | 28 | |
| 18 | 2002 | 16 | |
| 19 | 2002 | 3 | |
| 20 | 2001 | 6 |
About Scott Spangler
Scott Spangler is a scholar working on Library and Information Sciences, Information Systems and Management, Management Information Systems, Information Systems and Artificial Intelligence, 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 Advanced Database Systems and Queries (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 Austria. Frequent co-authors include Jeffrey Kreulen, Ying Chen, Keke Cai, Jiawei Han, Alix M.B. Lacoste, Justin Lessler, Ying Chen, Ana Lelescu, Robert Bowser and Nadine Bakkar. Their work appears in journals such as Data Mining and Knowledge Discovery, Acta Neuropathologica, Proceedings of the American Society for Information Science and Technology, Analytical Chemistry 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.