Robert J. Hilderman
Impact in
- Signal Processing top 5%
- Data Management and Algorithms
- Information Systems top 2%
- Data Mining Algorithms and Applications
Papers in
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- Data Management and Algorithms 20
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- Data Mining Algorithms and Applications 28
- Co-authors
- Howard J. Hamilton (29 shared papers)Nick J. Cercone (4 shared papers)Garrett Nicolai (3 shared papers)N. Cercone (1 shared paper)Liangchun Li (3 shared papers)David Gerhard (1 shared paper)Daryl H. Hepting (3 shared papers)Dominik Ślȩzak (3 shared papers)
- Journals
- Lecture notes in computer science (14 papers)Journal of Intelligent Information Systems (1 paper)IEEE Transactions on Software Engineering (1 paper)International Journal of Business Intelligence and Data Mining (1 paper)Intelligent Data Analysis (1 paper)
- Partner nations
- Canada
In The Last Decade
Robert J. Hilderman
44 papers receiving 642 citations
Peers
Comparison fields: 5 of 65
- Signal Processing 248
- Information Systems 508
- Computational Theory and Mathematics 318
- Artificial Intelligence 382
- Computer Networks and Communications 97
Countries citing papers authored by Robert J. Hilderman
This map shows the geographic impact of Robert J. Hilderman'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 Robert J. Hilderman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert J. Hilderman more than expected).
Fields of papers citing papers by Robert J. Hilderman
This network shows the impact of papers produced by Robert J. Hilderman. 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 Robert J. Hilderman. The network helps show where Robert J. Hilderman may publish in the future.
Co-authors
The 9 scholars most cited alongside Robert J. Hilderman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 173 | |
| 2 | 2001 | 84 | |
| 3 | 1999 | 37 | |
| 4 | 1998 | 36 | |
| 5 | Categorical proportional difference: a feature selection method for text categorization | 2008 | 35 |
| 6 | 1999 | 34 | |
| 7 | 2000 | 33 | |
| 8 | 2003 | 23 | |
| 9 | 1998 | 22 | |
| 10 | 1997 | 17 | |
| 11 | A characterization of wordnet features in Boolean models for text classification | 2006 | 14 |
| 12 | 1999 | 14 | |
| 13 | 2007 | 13 | |
| 14 | Evaluating WordNet Features in Text Classification Models. | 2006 | 13 |
| 15 | Knowledge Discovery and Interestingness Measures: A Survey | 2012 | 13 |
| 16 | Ranking the Interestingness of Summaries from Data Mining Systems | 1999 | 12 |
| 17 | 2002 | 12 | |
| 18 | 2015 | 11 | |
| 19 | 2005 | 8 | |
| 20 | 2009 | 8 |
About Robert J. Hilderman
Robert J. Hilderman is a scholar working on Signal Processing, Information Systems, Computational Theory and Mathematics, Artificial Intelligence and Computer Networks and Communications, having authored 47 papers that have together received 692 indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (28 papers), Data Management and Algorithms (20 papers), Rough Sets and Fuzzy Logic (18 papers), Advanced Database Systems and Queries (8 papers), Text and Document Classification Technologies (4 papers), Advanced Text Analysis Techniques (4 papers), Semantic Web and Ontologies (3 papers) and Distributed systems and fault tolerance (3 papers). The work is most often cited by research in Signal Processing (248 citations), Information Systems (508 citations), Computational Theory and Mathematics (318 citations), Artificial Intelligence (382 citations) and Computer Networks and Communications (97 citations). Robert J. Hilderman has collaborated with scholars based in Canada. Frequent co-authors include Howard J. Hamilton, Nick J. Cercone, Garrett Nicolai, N. Cercone, Liangchun Li, David Gerhard, Daryl H. Hepting, Dominik Ślȩzak and Richard Dosselmann. Their work appears in journals such as Lecture notes in computer science, Journal of Intelligent Information Systems, IEEE Transactions on Software Engineering, International Journal of Business Intelligence and Data Mining and Intelligent Data Analysis.
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.