Countries citing papers authored by Naphtali Rishe
Since
Specialization
Citations
This map shows the geographic impact of Naphtali Rishe'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 Naphtali Rishe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Naphtali Rishe more than expected).
This network shows the impact of papers produced by Naphtali Rishe. 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 Naphtali Rishe. The network helps show where Naphtali Rishe may publish in the future.
Co-authorship network of co-authors of Naphtali Rishe
This figure shows the co-authorship network connecting the top 25 collaborators of Naphtali Rishe.
A scholar is included among the top collaborators of Naphtali Rishe 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 Naphtali Rishe. Naphtali Rishe is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Ngân, Trần Thị, Mumtaz Ali, Dan E. Tamir, et al.. (2018). Logic connectives of complex fuzzy sets. 21(4). 344–357.18 indexed citations
7.
Prabakar, Nagarajan, et al.. (2016). Dynamic Mosaicking of Heterogeneous Digital Images*.
8.
Janeja, Vandana P., et al.. (2015). Clinico-genomic Decision Support System for Precision Diagnostics and Management.. AMIA.1 indexed citations
9.
Yasavur, Ugan, et al.. (2014). Sentiment Analysis Using Dependency Trees and Named-Entities. The Florida AI Research Society.7 indexed citations
10.
Yasavur, Ugan, Reza Amini, Christine Lisetti, & Naphtali Rishe. (2013). Ontology-Based Named Entity Recognizer for Behavioral Health. The Florida AI Research Society.4 indexed citations
11.
Adjouadi, Malek, et al.. (2009). Improved Pyramidal Neural Network for Segmented Handwritten Characters Recognition.. IPCV. 695–699.1 indexed citations
12.
Adjouadi, Malek, Mercedes Cabrerizo, Melvin Ayala, et al.. (2007). Application of the Walsh transform towards seizure detection. International Conference on Signal Processing. 115–120.1 indexed citations
13.
Cabrerizo, Mercedes, Malek Adjouadi, Melvin Ayala, et al.. (2007). EEG analysis using neural networks for seizure detection. International Conference on Signal Processing. 121–126.3 indexed citations
14.
Rishe, Naphtali, et al.. (2004). Web-based Dissemination of TRMM Data via TerraFly. AGU Fall Meeting Abstracts. 2004.1 indexed citations
15.
Trajcevski, Goce, et al.. (2002). Managing uncertain trajectories of moving objects with DOMINO. International Conference on Enterprise Information Systems. 218–225.9 indexed citations
16.
Rishe, Naphtali, et al.. (2000). The architecture for semantic data access to heterogeneous information sources.. Computers and Their Applications. 134–139.3 indexed citations
17.
Rishe, Naphtali, et al.. (2000). Semantic Access: Semantic Interface for Querying Databases. Very Large Data Bases. 591–594.14 indexed citations
18.
Rishe, Naphtali. (1992). Database design: the semantic modeling approach. McGraw-Hill, Inc. eBooks. 510–510.29 indexed citations
19.
Rishe, Naphtali, et al.. (1990). PARBASE-90 International Conference on Databases, Parallel Architecture and Applications. IEEE Computer Society Press eBooks.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.