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.
Elements of Artificial Neural Networks
1996641 citationsKishan G. Mehrotra, Chilukuri K. Mohan et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
This map shows the geographic impact of Sanjay Ranka'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 Sanjay Ranka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sanjay Ranka more than expected).
This network shows the impact of papers produced by Sanjay Ranka. 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 Sanjay Ranka. The network helps show where Sanjay Ranka may publish in the future.
Co-authorship network of co-authors of Sanjay Ranka
This figure shows the co-authorship network connecting the top 25 collaborators of Sanjay Ranka.
A scholar is included among the top collaborators of Sanjay Ranka 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 Sanjay Ranka. Sanjay Ranka is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Ranka, Sanjay, Tamer Kahveci, & Mona Singh. (2012). Proceedings of the ACM Conference on Bioinformatics, Computational Biology and Biomedicine. International Conference on Bioinformatics.19 indexed citations
8.
Ranka, Sanjay, et al.. (2012). Handbook of Energy-Aware and Green Computing. CERN Document Server (European Organization for Nuclear Research).42 indexed citations
Ranka, Sanjay. (2006). Handbook of Data Mining.1 indexed citations
11.
Alsabti, Khaled, Sanjay Ranka, & Vineet Kumar Singh. (1998). CLOUDS: a decision tree classifier for large datasets. Syracuse University Libraries (Syracuse University). 2–8.108 indexed citations
12.
Thomas, Shiby, et al.. (1997). An efficient algorithm for the incremental updation of association rules in large databases. Knowledge Discovery and Data Mining. 263–266.129 indexed citations
13.
Menon, Anil, Kishan G. Mehrotra, Chilukuri K. Mohan, & Sanjay Ranka. (1995). Optimization Using Replicators. Syracuse University Libraries (Syracuse University). 209–216.8 indexed citations
Ranka, Sanjay, et al.. (1990). Embedding meshes on the star graph. Conference on High Performance Computing (Supercomputing). 476–485.9 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.