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.
Urban Computing
2014963 citationsYu Zheng, Ouri Wolfson et al.profile →
T-share: A large-scale dynamic taxi ridesharing service
This map shows the geographic impact of Ouri Wolfson'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 Ouri Wolfson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ouri Wolfson more than expected).
This network shows the impact of papers produced by Ouri Wolfson. 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 Ouri Wolfson. The network helps show where Ouri Wolfson may publish in the future.
Co-authorship network of co-authors of Ouri Wolfson
This figure shows the co-authorship network connecting the top 25 collaborators of Ouri Wolfson.
A scholar is included among the top collaborators of Ouri Wolfson 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 Ouri Wolfson. Ouri Wolfson is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Meng, Chuishi, Yanhua Li, Yu Zheng, et al.. (2023). The 12th International Workshop on Urban Computing. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 5874–5875.1 indexed citations
Koonin, S. E., Ouri Wolfson, & Yu Zheng. (2013). Proceedings of the 2nd ACM SIGKDD International Workshop on Urban Computing. Knowledge Discovery and Data Mining.7 indexed citations
8.
Wolfson, Ouri & Bo Xu. (2010). Spatio-temporal Databases in Urban Transportation.. IEEE Data(base) Engineering Bulletin. 33. 18–25.7 indexed citations
9.
Xu, Bo, et al.. (2010). Spatio-temporal Information Ranking in VANET Applications. INTERNATIONAL JOURNAL OF NEXT-GENERATION COMPUTING. 1(1). 1.15 indexed citations
10.
Zhong, Ting, et al.. (2008). Trafficinfo: An Algorithm for VANET Dissemination of Real-time Traffic Information1.13 indexed citations
11.
Rishe, Naphtali, et al.. (2007). Schema Based XML Compression. 1–6.
12.
Murata, T., Jaegeol Yim, Huabei Yin, & Ouri Wolfson. (2006). Petri-net model and minimum cycle time for updating a moving objects database. Computer Systems: Science & Engineering. 21(3). 207–213.3 indexed citations
13.
Wolfson, Ouri, et al.. (2005). MOBI-DIC: MOBIle DIscovery of loCal Resources in Peer-to-Peer Wireless Network.. IEEE Data(base) Engineering Bulletin. 28. 11–18.13 indexed citations
14.
Trajcevski, Goce, et al.. (2002). Managing uncertain trajectories of moving objects with DOMINO. International Conference on Enterprise Information Systems. 218–225.9 indexed citations
15.
Viveros, Marisa, Hui Lei, & Ouri Wolfson. (2002). Proceedings of the 2nd international workshop on Mobile commerce.8 indexed citations
16.
Wolfson, Ouri, et al.. (1999). Databases for Tracking Mobile Units in Real Time.6 indexed citations
17.
Sistla, A. Prasad & Ouri Wolfson. (1992). Triggers on Database Histories.. IEEE Data(base) Engineering Bulletin. 15. 48–51.1 indexed citations
18.
Stolfo, Salvatore J., et al.. (1991). The PARULEL Parallel Rule Language.. Proceedings of the International Conference on Parallel Processing. 36–45.11 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.