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.
LUBM: A benchmark for OWL knowledge base systems
2005686 citationsYuanbo Guo, Zhengxiang Pan et al.Journal of Web Semanticsprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
This map shows the geographic impact of Jeff Heflin'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 Jeff Heflin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeff Heflin more than expected).
This network shows the impact of papers produced by Jeff Heflin. 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 Jeff Heflin. The network helps show where Jeff Heflin may publish in the future.
Co-authorship network of co-authors of Jeff Heflin
This figure shows the co-authorship network connecting the top 25 collaborators of Jeff Heflin.
A scholar is included among the top collaborators of Jeff Heflin 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 Jeff Heflin. Jeff Heflin is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Chen, Zhiyu, et al.. (2018). Recognizing Quantity Names for Tabular Data.. International ACM SIGIR Conference on Research and Development in Information Retrieval. 68–73.4 indexed citations
6.
Priya, Sambhawa, Guoqian Jiang, Surendra Dasari, et al.. (2015). A Semantic Web-based System for Mining Genetic Mutations in Cancer Clinical Trials.. PubMed. 2015. 142–6.
7.
Song, Dezhao & Jeff Heflin. (2012). A Pruning Based Approach for Scalable Entity Coreference. The Florida AI Research Society.3 indexed citations
Heflin, Jeff & Yuanbo Guo. (2007). Reasoning and querying the semantic web: a document-centric perspective.1 indexed citations
13.
Pan, Zhengxiang, et al.. (2006). An investigation into the feasibility of the semantic web. National Conference on Artificial Intelligence. 1394–1399.5 indexed citations
14.
Guo, Yuanbo, et al.. (2006). Large scale knowledge base systems: an empirical evaluation perspective. National Conference on Artificial Intelligence. 1617–1620.2 indexed citations
Heflin, Jeff & Michael N. Huhns. (2003). IEEE Internet Computing: Guest Editors' Introduction - The Zen of the Web.. IEEE Distributed Systems Online. 4.1 indexed citations
18.
Heflin, Jeff & Michael N. Huhns. (2003). The zen of the web. IEEE Internet Computing. 7(5). 30–33.7 indexed citations
19.
Heflin, Jeff. (2000). Knowledge Representation on the Internet: Achieving Interoperability in a Dynamic, Distributed Environment. National Conference on Artificial Intelligence. 1074.3 indexed citations
20.
Heflin, Jeff, et al.. (1983). Some Novel Approaches in the Use of Wireline Logs for Fracture Detection. 22. 131–149.1 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.