Byron Dom

10.6k citations
52 papers · 5.7k · 2 hit papers · h-index 24

Impact in

Papers in

Byron Dom

47 papers receiving 5.0k citations

Byron Dom's Hit Papers

Focused crawling: a new approach to topic-specific Web resource discovery 1999 · 936 citations
9360+10+20Years since publication50010001.5k

Peers

Byron Dom
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
Replace Kamal Nigam with:
Kamal Nigam United States
Yangqiu Song China
Ravi Kumar United States
Shiqiang Yang China
Yiming Yang United States
Dengyong Zhou United States
Roberto Tamassia United States
Jing Jiang Singapore
Ching‐Yung Lin United States
Jan Pedersen United States
Byron Dom relative to Kamal Nigam United States Kamal Nigam's profile →
Citations per field
00.5×1.6×
Kamal Nigam · 1×
Citations per year

Countries citing papers authored by Byron Dom

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Byron Dom Line = papers co-authored together Byron Dom links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Query by image and video content: the QBIC system
Hit paper breakdown →
19951985
2
Focused crawling: a new approach to topic-specific Web resource discovery
Hit paper breakdown →
1999936
3 1998482
4 1998463
5 1999306
6 2003219
7 1998147
8 2003115
9 2002108
10
An information-theoretic external cluster-validity measure
200293
11
Using Taxonomy, Discriminants, and Signatures for Navigating in Text Databases
199785
12 199882
13
Mining Surprising Patterns Using Temporal Description Length
199877
14 200672
15 200358
16 200253
17 201149
18
Distributed Hypertext Resource Discovery Through Examples
199942
19 199740
20
Generalized Model Selection for Unsupervised Learning in High Dimensions
199938

About Byron Dom

Byron Dom is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering and Statistical and Nonlinear Physics, 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), Complex Network Analysis Techniques (5 papers) and Expert finding and Q&A systems (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 M. Gorkani. 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.

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