William M. Pottenger

1.4k total citations
57 papers, 717 citations indexed

About

William M. Pottenger is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, William M. Pottenger has authored 57 papers receiving a total of 717 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Artificial Intelligence, 20 papers in Information Systems and 11 papers in Computer Vision and Pattern Recognition. Recurrent topics in William M. Pottenger's work include Data Mining Algorithms and Applications (11 papers), Natural Language Processing Techniques (8 papers) and Rough Sets and Fuzzy Logic (7 papers). William M. Pottenger is often cited by papers focused on Data Mining Algorithms and Applications (11 papers), Natural Language Processing Techniques (8 papers) and Rough Sets and Fuzzy Logic (7 papers). William M. Pottenger collaborates with scholars based in United States, Bulgaria and Netherlands. William M. Pottenger's co-authors include April Kontostathis, Mark G. Arnold, Faisal M. Khan, Murat Can Ganiz, Glenn D. Blank, Brian Fisher, Bruce R. Schatz, William Ribarsky, G. Drew Kessler and Mooi Choo Chuah and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Parallel and Distributed Systems and Information Processing & Management.

In The Last Decade

William M. Pottenger

55 papers receiving 636 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
William M. Pottenger United States 15 456 200 144 91 90 57 717
Jordi Herrera‐Joancomartí Spain 19 432 0.9× 425 2.1× 121 0.8× 272 3.0× 51 0.6× 61 913
E. Koutsofios United States 9 209 0.5× 239 1.2× 257 1.8× 158 1.7× 85 0.9× 14 635
Luke K. McDowell United States 13 229 0.5× 129 0.6× 66 0.5× 100 1.1× 37 0.4× 32 431
Fred Hohman United States 12 415 0.9× 120 0.6× 332 2.3× 51 0.6× 60 0.7× 24 808
Xin Xin China 19 593 1.3× 625 3.1× 169 1.2× 135 1.5× 41 0.5× 82 1.0k
Bay-Wei Chang United States 11 241 0.5× 295 1.5× 214 1.5× 94 1.0× 36 0.4× 19 717
Bryan Kisiel United States 7 1.2k 2.7× 309 1.5× 207 1.4× 60 0.7× 64 0.7× 12 1.4k
Enrique Amigó Spain 16 840 1.8× 388 1.9× 156 1.1× 68 0.7× 112 1.2× 51 1.1k
Hana Chockler Israel 11 429 0.9× 151 0.8× 101 0.7× 102 1.1× 33 0.4× 45 810
Francesco Ricca Italy 17 775 1.7× 101 0.5× 181 1.3× 154 1.7× 45 0.5× 78 1.0k

Countries citing papers authored by William M. Pottenger

Since Specialization
Citations

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

Fields of papers citing papers by William M. Pottenger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William M. Pottenger. 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 William M. Pottenger. The network helps show where William M. Pottenger may publish in the future.

Co-authorship network of co-authors of William M. Pottenger

This figure shows the co-authorship network connecting the top 25 collaborators of William M. Pottenger. A scholar is included among the top collaborators of William M. Pottenger 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 William M. Pottenger. William M. Pottenger 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.
Pottenger, William M., et al.. (2020). Design And Evaluation Of Multimedia To Teach Java And Object Oriented Software Engineering. 7.364.1–7.364.27. 2 indexed citations
2.
Pottenger, William M., et al.. (2013). Modeling Microtext with Higher Order Learning. National Conference on Artificial Intelligence. 3 indexed citations
3.
Pottenger, William M.. (2007). D-HOTM: distributed higher order text mining. International Conference on Digital Government Research. 268–269. 1 indexed citations
4.
Pottenger, William M., et al.. (2007). NSF-DGE GK-12 teaching fellowships. 474–475. 2 indexed citations
5.
Pottenger, William M., et al.. (2005). A semi-supervised active learning algorithm for information extraction from textual data: Research Articles. 56(3). 258–271. 11 indexed citations
6.
Pottenger, William M., et al.. (2005). Methodologies for Trend Detection in Textual Data Mining. 3(1). 41; author reply 42–41; author reply 42. 24 indexed citations
7.
Pottenger, William M., et al.. (2005). Distributed higher order association rule mining using information extracted from textual data. ACM SIGKDD Explorations Newsletter. 7(1). 26–35. 17 indexed citations
8.
Khan, Faisal M., Mark G. Arnold, & William M. Pottenger. (2004). Finite precision analysis of support vector machine classification in logarithmic number systems. 254–261. 11 indexed citations
9.
Khan, Faisal M., Mark G. Arnold, & William M. Pottenger. (2004). Finite precision analysis of support vector machine classification in logarithmic number systems. 1. 254–261. 13 indexed citations
10.
Kontostathis, April, et al.. (2004). A software infrastructure for research in textual data mining. 112–121. 3 indexed citations
11.
Blank, Glenn D., et al.. (2003). Adapting multimedia for diverse student learning styles. Journal of computing sciences in colleges. 18(3). 45–58. 24 indexed citations
12.
Pottenger, William M., et al.. (2003). A semi-supervised algorithm for pattern discovery in information extraction from textual data. Knowledge Discovery and Data Mining. 117–123. 5 indexed citations
13.
Blank, Glenn D., et al.. (2003). Multimedia for Computer Science: from CS0/CS1 to Grades 7-12. EdMedia: World Conference on Educational Media and Technology. 2003(1). 2903–2906. 9 indexed citations
14.
Pottenger, William M. & April Kontostathis. (2003). A term co-occurrence based framework for understanding lsi: theory and practice. 18(2). 74–85. 1 indexed citations
15.
Pottenger, William M., et al.. (2003). Self-organizing systems for knowledge discovery in large databases. 4. 2480–2485. 2 indexed citations
16.
Kontostathis, April & William M. Pottenger. (2002). A Mathematical View of Latent Semantic Indexing: Tracing Term Co-Occurrences. 10 indexed citations
17.
Blank, Glenn D., et al.. (2001). CIMEL: constructive, collaborative inquiry-based multimedia E-learning.. 179. 10 indexed citations
18.
Pottenger, William M., et al.. (2001). Detecting emerging concepts in textual data mining. Society for Industrial and Applied Mathematics eBooks. 89–105. 26 indexed citations
19.
20.
Pottenger, William M.. (1997). Theory, techniques, and experiments in solving recurrences in computer programs. 8 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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