Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Query by image and video content: the QBIC system
19952.0k citationsW. Niblack, Byron Dom et al.Computerprofile →
Focused crawling: a new approach to topic-specific Web resource discovery
1999936 citationsSoumen Chakrabarti, Martin van den Berg et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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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).
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 of co-authors of Byron Dom
This figure shows the co-authorship network connecting the top 25 collaborators of Byron Dom.
A scholar is included among the top collaborators of Byron Dom 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 Byron Dom. Byron Dom is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Ashour, Gal, et al.. (2001). Who is SMILing on the Web.2 indexed citations
10.
Vaithyanathan, Shivakumar & Byron Dom. (2000). Hierarchical Unsupervised Learning. International Conference on Machine Learning. 1039–1046.6 indexed citations
11.
Chakrabarti, Soumen, Martin van den Berg, & Byron Dom. (1999). Distributed Hypertext Resource Discovery Through Examples. DSpace (IIT Bombay). 375–386.42 indexed citations
12.
Vaithyanathan, Shivakumar & Byron Dom. (1999). Generalized Model Selection for Unsupervised Learning in High Dimensions. Neural Information Processing Systems. 12. 970–976.38 indexed citations
13.
Vaithyanathan, Shivakumar & Byron Dom. (1999). Model Selection in Unsupervised Learning with Applications To Document Clustering. International Conference on Machine Learning. 433–443.36 indexed citations
14.
Chakrabarti, Soumen, Sunita Sarawagi, & Byron Dom. (1998). Mining Surprising Patterns Using Temporal Description Length. Very Large Data Bases. 606–617.77 indexed citations
Chakrabarti, Soumen, Byron Dom, Rakesh Agrawal, & Prabhakar Raghavan. (1997). Using Taxonomy, Discriminants, and Signatures for Navigating in Text Databases. Very Large Data Bases. 446–455.85 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.