Byron Dom
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- Image and Object Detection Techniques 7
- Medical Image Segmentation Techniques 6
- Information Systems top 0.1%
- Web Data Mining and Analysis 14
- Expert finding and Q&A systems 5
- Signal Processing top 0.5%
- Artificial Intelligence top 0.5%
- Text and Document Classification Technologies 11
- Algorithms and Data Compression 6
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- Complex Network Analysis Techniques 5
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- Industrial Vision Systems and Defect Detection 9
- Co-authors
- Soumen ChakrabartiMartin van den BergPiotr IndykW. NiblackPrabhakar RaghavanDragutin PetkovićMyron FlicknerQian Huang
- Journals
- Machine Vision and Applications (3 papers)Computer (3 papers)Artificial Intelligence Review (1 paper)
- Partner nations
- United StatesIndiaSouth Korea
In The Last Decade
Byron Dom
47 papers receiving 5.0k citations
Hit Papers
Peers
Comparison fields: 5 of 120
- Computer Vision and Pattern Recognition 2.4k
- Information Systems 2.5k
- Signal Processing 859
- Artificial Intelligence 2.0k
- Statistical and Nonlinear Physics 699
Countries citing papers authored by Byron Dom
This map shows the geographic impact of Byron Dom'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 Byron Dom with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Byron Dom more than expected).
Fields of papers citing papers by Byron Dom
This network shows the impact of papers produced by Byron Dom. 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 Byron Dom. The network helps show where Byron Dom may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Byron Dom, 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 | 2013 | 8 | |
| 2 | 2008 | 13 | |
| 3 | 2006 | 72 | |
| 4 | 2005 | 1 | |
| 5 | 2003 | 11 | |
| 6 | An information-theoretic external cluster-validity measure | 2002 | 93 |
| 7 | 2002 | 108 | |
| 8 | 2001 | 6 | |
| 9 | Who is SMILing on the Web | 2001 | 2 |
| 10 | Hierarchical Unsupervised Learning | 2000 | 6 |
| 11 | Distributed Hypertext Resource Discovery Through Examples | 1999 | 42 |
| 12 | Generalized Model Selection for Unsupervised Learning in High Dimensions | 1999 | 38 |
| 13 | Model Selection in Unsupervised Learning with Applications To Document Clustering | 1999 | 36 |
| 14 | Mining Surprising Patterns Using Temporal Description Length | 1998 | 77 |
| 15 | 1998 | 82 | |
| 16 | Using Taxonomy, Discriminants, and Signatures for Navigating in Text Databases | 1997 | 85 |
| 17 | 1995 | 34 | |
| 18 | 1994 | 0 | |
| 19 | Machine Vision Applications in Character Recognition and Industrial Inspection | 1992 | 3 |
| 20 | 1992 | 1 |
About Byron Dom
Byron Dom is a scholar working on Information Systems, Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering, Artificial Intelligence and Computer Science Applications, having authored 52 papers that have together received 5.7k indexed citations. Recurring topics across this work include Web Data Mining and Analysis (14 papers), Text and Document Classification Technologies (11 papers), Industrial Vision Systems and Defect Detection (9 papers), Image and Object Detection Techniques (7 papers), Medical Image Segmentation Techniques (6 papers), Algorithms and Data Compression (6 papers), Expert finding and Q&A systems (5 papers) and Complex Network Analysis Techniques (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.4k citations), Information Systems (2.5k citations), Signal Processing (859 citations), Artificial Intelligence (2.0k citations) and Statistical and Nonlinear Physics (699 citations). Byron Dom has collaborated with scholars based in United States, India and South Korea. Frequent co-authors include Soumen Chakrabarti, Martin van den Berg, Piotr Indyk, W. Niblack, Prabhakar Raghavan, Dragutin Petković, Myron Flickner, Qian Huang, David A. Steele and J. Ashley. Their work appears in journals such as Machine Vision and Applications, Computer, Artificial Intelligence Review, ACM SIGMOD Record and The VLDB Journal.
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.