Scott Spangler

1.2k total citations
34 papers, 673 citations indexed

About

Scott Spangler is a scholar working on Artificial Intelligence, Information Systems and Molecular Biology. According to data from OpenAlex, Scott Spangler has authored 34 papers receiving a total of 673 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 12 papers in Information Systems and 9 papers in Molecular Biology. Recurrent topics in Scott Spangler's work include Advanced Text Analysis Techniques (10 papers), Semantic Web and Ontologies (7 papers) and Biomedical Text Mining and Ontologies (6 papers). Scott Spangler is often cited by papers focused on Advanced Text Analysis Techniques (10 papers), Semantic Web and Ontologies (7 papers) and Biomedical Text Mining and Ontologies (6 papers). Scott Spangler collaborates with scholars based in United States, China and Austria. Scott Spangler's 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 and has published in prestigious journals such as PLoS ONE, Analytical Chemistry and Acta Neuropathologica.

In The Last Decade

Scott Spangler

33 papers receiving 635 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Scott Spangler United States 14 223 175 136 62 61 34 673
Yongjun Zhu South Korea 16 247 1.1× 244 1.4× 116 0.9× 107 1.7× 50 0.8× 63 859
Oya Beyan Germany 17 406 1.8× 203 1.2× 118 0.9× 22 0.4× 13 0.2× 64 999
Giuseppe Agapito Italy 19 144 0.6× 442 2.5× 154 1.1× 13 0.2× 26 0.4× 72 906
Frizo Janssens Belgium 13 292 1.3× 144 0.8× 253 1.9× 24 0.4× 160 2.6× 24 683
Adriane Chapman United Kingdom 16 462 2.1× 167 1.0× 469 3.4× 31 0.5× 13 0.2× 64 1.5k
Tania Tudorache United States 16 785 3.5× 676 3.9× 295 2.2× 74 1.2× 6 0.1× 53 1.2k
Xiaodong Feng China 17 207 0.9× 30 0.2× 84 0.6× 16 0.3× 120 2.0× 64 684
Jiexun Li United States 18 517 2.3× 111 0.6× 233 1.7× 66 1.1× 88 1.4× 27 889
Erik M. van Mulligen Netherlands 29 986 4.4× 1.2k 6.9× 144 1.1× 37 0.6× 11 0.2× 107 1.9k
Benjamin J. Keller United States 13 192 0.9× 176 1.0× 379 2.8× 4 0.1× 21 0.3× 24 916

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-authorship network of co-authors of Scott Spangler

This figure shows the co-authorship network connecting the top 25 collaborators of Scott Spangler. A scholar is included among the top collaborators of Scott Spangler based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Scott Spangler. Scott Spangler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Spangler, Scott, et al.. (2020). ONLINE STUDENTS' PERCEPTIONS OF EMBEDDED LIBRARIANS: A PILOT STUDY. Issues in Information Systems. 21(1). 1 indexed citations
2.
Spangler, Scott. (2020). Accelerating Discovery: Mining Unstructured Information for Hypothesis Generation. CERN Document Server (European Organization for Nuclear Research). 3 indexed citations
3.
Hatz, Sonja, Scott Spangler, Andrew T. Bender, et al.. (2019). Identification of pharmacodynamic biomarker hypotheses through literature analysis with IBM Watson. PLoS ONE. 14(4). e0214619–e0214619. 8 indexed citations
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O’Leary, Daniel E. & Scott Spangler. (2018). Continuously Monitoring Bank Risk, Reputation, and Opportunity. Journal of Emerging Technologies in Accounting. 15(2). 151–163. 9 indexed citations
7.
Bakkar, Nadine, Tina Kovalik, Ileana Lorenzini, et al.. (2017). Artificial intelligence in neurodegenerative disease research: use of IBM Watson to identify additional RNA-binding proteins altered in amyotrophic lateral sclerosis. Acta Neuropathologica. 135(2). 227–247. 103 indexed citations
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Ji, Ming, Qi He, Jiawei Han, & Scott Spangler. (2015). Mining strong relevance between heterogeneous entities from unstructured biomedical data. Data Mining and Knowledge Discovery. 29(4). 976–998. 11 indexed citations
10.
Bhatia, Sumit, Bin He, Qi He, & Scott Spangler. (2012). A scalable approach for performing proximal search for verbose patent search queries. 2603–2606. 3 indexed citations
11.
Spangler, Scott, Ying Chen, Jeffrey Kreulen, et al.. (2011). Exploratory analytics on patent data sets using the SIMPLE platform. World Patent Information. 33(4). 328–339. 10 indexed citations
12.
Spangler, Scott, Ying Chen, Jeffrey Kreulen, et al.. (2010). SIMPLE: Interactive Analytics on Patent Data. 19. 426–433. 4 indexed citations
13.
Cai, Keke, Scott Spangler, Ying Chen, & Li Zhang. (2010). Leveraging sentiment analysis for topic detection. Web Intelligence and Agent Systems An International Journal. 8(3). 291–302. 29 indexed citations
14.
Spangler, Scott, Ying Chen, Ana Lelescu, et al.. (2009). COBRA – mining web for COrporate Brand and Reputation Analysis. Web Intelligence and Agent Systems An International Journal. 7(3). 243–254. 18 indexed citations
15.
Spangler, Scott & Jeffrey Kreulen. (2007). Mining the Talk: Unlocking the Business Value in Unstructured Information (IBM Press). 10 indexed citations
16.
Spangler, Scott & Jeffrey Kreulen. (2007). Mining the Talk: Unlocking the Business Value in Unstructured Information. CERN Document Server (European Organization for Nuclear Research). 27 indexed citations
17.
Spangler, Scott, Jeffrey Kreulen, & Justin Lessler. (2003). Generating and Browsing Multiple Taxonomies Over a Document Collection. Journal of Management Information Systems. 19(4). 191–212. 28 indexed citations
18.
Spangler, Scott & Jeffrey Kreulen. (2002). Interactive methods for taxonomy editing and validation. 665–668. 16 indexed citations
19.
Spangler, Scott & Jeffrey Kreulen. (2002). Interactive methods for taxonomy editing and validation. 3 indexed citations
20.
Spangler, Scott & Jeffrey Kreulen. (2001). Knowledge base maintenance using knowledge gap analysis. 462–466. 6 indexed citations

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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