W. Scott Spangler

1.0k total citations
17 papers, 663 citations indexed

About

W. Scott Spangler is a scholar working on Artificial Intelligence, Information Systems and Molecular Biology. According to data from OpenAlex, W. Scott Spangler has authored 17 papers receiving a total of 663 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 6 papers in Information Systems and 2 papers in Molecular Biology. Recurrent topics in W. Scott Spangler's work include Advanced Text Analysis Techniques (8 papers), Web Data Mining and Analysis (3 papers) and Data Mining Algorithms and Applications (3 papers). W. Scott Spangler is often cited by papers focused on Advanced Text Analysis Techniques (8 papers), Web Data Mining and Analysis (3 papers) and Data Mining Algorithms and Applications (3 papers). W. Scott Spangler collaborates with scholars based in United States, Poland and Czechia. W. Scott Spangler's co-authors include Dharmendra S. Modha, Jeffrey Kreulen, William F. Cody, Inderjit S. Dhillon, Usama M. Fayyad, Ramasamy Uthurusamy, Mohammad Al Hasan, Thomas D. Griffin, Yan Su and Ying Chen and has published in prestigious journals such as Machine Learning, IBM Journal of Research and Development and Computational Statistics & Data Analysis.

In The Last Decade

W. Scott Spangler

16 papers receiving 594 citations

Peers

W. Scott Spangler
Carmen De Maio Italy
Chunnian Liu China
Xuan Zhang China
Jan Hidders Netherlands
Wenhuang Liu China
Giorgos Kollias United States
Matthias Böehm Germany
Chuan Zhao China
S. Asharaf India
Chidanand Apté United States
Carmen De Maio Italy
W. Scott Spangler
Citations per year, relative to W. Scott Spangler W. Scott Spangler (= 1×) peers Carmen De Maio

Countries citing papers authored by W. Scott Spangler

Since Specialization
Citations

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

Fields of papers citing papers by W. Scott Spangler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of W. Scott Spangler

This figure shows the co-authorship network connecting the top 25 collaborators of W. Scott Spangler. A scholar is included among the top collaborators of W. 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 W. Scott Spangler. W. Scott Spangler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
O’Leary, Daniel E. & W. Scott Spangler. (2016). Monitoring and Mining Digital Media for Brand and Reputation Information. International Conference on Information Systems. 3 indexed citations
2.
Spangler, W. Scott, et al.. (2014). Sales Prediction with Social Media Analysis. 213–222. 6 indexed citations
3.
Su, Yan, W. Scott Spangler, & Ying Chen. (2013). Chemical Name Extraction Based on Automatic Training Data Generation and Rich Feature Set. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 10(5). 1218–1233. 14 indexed citations
4.
He, Qi, et al.. (2012). Prospective Client Driven Technology Recommendation. 110–119. 1 indexed citations
5.
Su, Yan, W. Scott Spangler, & Ying Chen. (2012). Learning to extract chemical names based on random text generation and incomplete dictionary. 21–25. 5 indexed citations
6.
Spangler, W. Scott, et al.. (2010). A smarter process for sensing the information space. IBM Journal of Research and Development. 54(4). 1–13. 16 indexed citations
7.
Hasan, Mohammad Al, et al.. (2009). COA. 1175–1184. 33 indexed citations
8.
Hasan, Mohammad Al & W. Scott Spangler. (2007). Assessing patent value through advanced text analysis. 191–192. 2 indexed citations
9.
Spangler, W. Scott, et al.. (2006). Machines in the conversation: Detecting themes and trends in informal communication streams. IBM Systems Journal. 45(4). 785–799. 22 indexed citations
10.
Modha, Dharmendra S. & W. Scott Spangler. (2003). Feature Weighting in k-Means Clustering. Machine Learning. 52(3). 217–237. 249 indexed citations
11.
Cody, William F., et al.. (2002). The integration of business intelligence and knowledge management. IBM Systems Journal. 41(4). 697–713. 152 indexed citations
12.
Dhillon, Inderjit S., Dharmendra S. Modha, & W. Scott Spangler. (2002). Class visualization of high-dimensional data with applications. Computational Statistics & Data Analysis. 41(1). 59–90. 35 indexed citations
13.
Modha, Dharmendra S. & W. Scott Spangler. (2000). Clustering hypertext with applications to web searching. 143–152. 60 indexed citations
14.
Dhillon, Inderjit S., Dharmendra S. Modha, & W. Scott Spangler. (1998). Visualizing Class Structure of Multidimensional Data.. 488–493. 35 indexed citations
15.
Spangler, W. Scott, et al.. (1992). An application of model-based reasoning in experiment design. Innovative Applications of Artificial Intelligence. 217–234.
16.
Lorenzen, Thomas J., et al.. (1992). DEXPERT: an expert system for the design of experiments. Statistics and Computing. 2(2). 47–54. 3 indexed citations
17.
Uthurusamy, Ramasamy, Usama M. Fayyad, & W. Scott Spangler. (1991). Learning Useful Rules from Inconclusive Data.. 141–158. 27 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Carmen De Maio Breakdown of academic impact, for papers by Chunnian Liu Breakdown of academic impact, for papers by Xuan Zhang Breakdown of academic impact, for papers by Jan Hidders Breakdown of academic impact, for papers by Wenhuang Liu Breakdown of academic impact, for papers by Giorgos Kollias Breakdown of academic impact, for papers by Matthias Böehm Breakdown of academic impact, for papers by Chuan Zhao Breakdown of academic impact, for papers by S. Asharaf Breakdown of academic impact, for papers by Chidanand Apté
Rankless by CCL
2026