Ron Papka
Impact in
- Artificial Intelligence top 2%
- Text and Document Classification Technologies
- Advanced Text Analysis Techniques
- Topic Modeling
- Natural Language Processing Techniques
- Algorithms and Data Compression
- Information Systems top 2%
- Web Data Mining and Analysis
- Spam and Phishing Detection
Papers in
-
- Text and Document Classification Technologies 6
- Advanced Text Analysis Techniques 4
- Algorithms and Data Compression 3
- Machine Learning and Algorithms 2
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- Web Data Mining and Analysis 6
- Information Retrieval and Search Behavior 3
- Co-authors
- James Allan (5 shared papers)Victor Lavrenko (2 shared papers)James P. Callan (2 shared papers)David Lewis (1 shared paper)Robert E. Schapire (1 shared paper)W. Bruce Croft (1 shared paper)Andrew G. Barto (1 shared paper)
- Journals
- ACM SIGIR Forum (1 paper)Neural Information Processing Systems (1 paper)Defense Technical Information Center (DTIC) (1 paper)
- Partner nations
- United States
In The Last Decade
Ron Papka
9 papers receiving 833 citations
Peers
Comparison fields: 5 of 57
- Artificial Intelligence 752
- Information Systems 454
- Statistical and Nonlinear Physics 215
- Signal Processing 75
- Computer Vision and Pattern Recognition 139
Countries citing papers authored by Ron Papka
This map shows the geographic impact of Ron Papka'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 Ron Papka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ron Papka more than expected).
Fields of papers citing papers by Ron Papka
This network shows the impact of papers produced by Ron Papka. 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 Ron Papka. The network helps show where Ron Papka may publish in the future.
Co-authors
The 7 scholars most cited alongside Ron Papka, 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 | 1996 | 368 | |
| 2 | 1998 | 333 | |
| 3 | 2017 | 93 | |
| 4 | On-Line New Event Detection, Clustering, and Tracking | 1999 | 44 |
| 5 | On-Line New Event Detection using Single Pass Clustering TITLE2: | 1998 | 43 |
| 6 | 1998 | 17 | |
| 7 | On-line new event detection, clustering, and tracking (information retrieval, internet) | 1999 | 16 |
| 8 | Text-Based Information Retrieval Using Exponentiated Gradient Descent | 1996 | 7 |
| 9 | On-line New Event Detection, Clustering, and Tracking TITLE2: | 1999 | 3 |
| 10 | Why Bigger Windows Are Better Than Smaller Ones TITLE2 | 1997 | 1 |
About Ron Papka
Ron Papka is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Computer Vision and Pattern Recognition and Management Science and Operations Research, having authored 10 papers that have together received 925 indexed citations. Recurring topics across this work include Web Data Mining and Analysis (6 papers), Text and Document Classification Technologies (6 papers), Advanced Text Analysis Techniques (4 papers), Algorithms and Data Compression (3 papers), Information Retrieval and Search Behavior (3 papers), Machine Learning and Algorithms (2 papers), Advanced Database Systems and Queries (2 papers) and Data Quality and Management (1 paper). The work is most often cited by research in Artificial Intelligence (752 citations), Information Systems (454 citations), Statistical and Nonlinear Physics (215 citations), Signal Processing (75 citations) and Computer Vision and Pattern Recognition (139 citations). Ron Papka has collaborated with scholars based in United States. Frequent co-authors include James Allan, Victor Lavrenko, James P. Callan, David Lewis, Robert E. Schapire, W. Bruce Croft and Andrew G. Barto. Their work appears in journals such as ACM SIGIR Forum, Neural Information Processing Systems and Defense Technical Information Center (DTIC).
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.