This map shows the geographic impact of Shlomo Geva'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 Shlomo Geva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shlomo Geva more than expected).
This network shows the impact of papers produced by Shlomo Geva. 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 Shlomo Geva. The network helps show where Shlomo Geva may publish in the future.
Co-authorship network of co-authors of Shlomo Geva
This figure shows the co-authorship network connecting the top 25 collaborators of Shlomo Geva.
A scholar is included among the top collaborators of Shlomo Geva 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 Shlomo Geva. Shlomo Geva is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Geva, Shlomo, et al.. (2011). Overview of the NTCIR-9 Crosslink Task: Cross-lingual link discovery. 22(1). 188–202.17 indexed citations
4.
Geva, Shlomo. (2011). Comparative evaluation of focused retrieval : 9th International Workshop of the Initiative for the Evaluation of XML Retrieval, INEX 2010, Vught, the Netherlands, December 13-15, 2010 : revised selected papers. Lecture notes in computer science. 6932.1 indexed citations
Nguyen, Anthony, et al.. (2010). Rule-based approach for identifying assertions in clinical free-text data. QUT ePrints (Queensland University of Technology).1 indexed citations
8.
Trotman, Andrew, et al.. (2009). A virtual evaluation track for cross language link discovery. QUT ePrints (Queensland University of Technology).1 indexed citations
9.
Xu, Yue, et al.. (2008). Eliminating Redundant Association Rules in Multi-Level Datasets.. QUT ePrints (Queensland University of Technology). 313–319.6 indexed citations
10.
Trotman, Andrew, et al.. (2008). Experiments and evaluation of link discovery in the Wikipedia. International ACM SIGIR Conference on Research and Development in Information Retrieval.4 indexed citations
11.
Lau, Andy M., Dian Tjondronegoro, Jinglan Zhang, Shlomo Geva, & Yuee Liu. (2007). Fusing Visual and Textual Retrieval Techniques to Effectively Search Large Collections of Wikipedia Images. Lecture notes in computer science.2 indexed citations
12.
Trotman, Andrew, et al.. (2007). Collaborative Knowledge Management: Evaluation of Automated Link Discovery in the Wikipedia. International ACM SIGIR Conference on Research and Development in Information Retrieval.8 indexed citations
13.
Geva, Shlomo. (2007). GPX- Gardens Point XML IR at INEX 2006. Lecture notes in computer science.3 indexed citations
14.
Woodley, Alan, Shlomo Geva, & Sylvia L. Edwards. (2006). Comparing XML-IR query formation interfaces. QUT ePrints (Queensland University of Technology). 9(2). 64–71.1 indexed citations
15.
Trotman, Andrew & Shlomo Geva. (2006). Passage Retrieval and other XML-Retrieval Tasks. QUT ePrints (Queensland University of Technology).11 indexed citations
16.
Geva, Shlomo, et al.. (2006). What Types of Events Provide the Strongest Evidence that the Stock Market is Affected by Company Specific News. QUT ePrints (Queensland University of Technology). 145–153.1 indexed citations
17.
Geva, Shlomo, et al.. (2004). Monocular Vision as a Range Sensor. QUT ePrints (Queensland University of Technology).13 indexed citations
Andrews, Robert & Shlomo Geva. (1997). Refining Expert Knowledge with an Artificial Neural Network.. International Conference on Neural Information Processing. 847–850.5 indexed citations
20.
Andrews, Robert & Shlomo Geva. (1996). Rules and Local Function Networks.4 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.