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.
A Detailed Review of Feature Extraction in Image Processing Systems
Countries citing papers authored by Pradeep Kumar Bhatia
Since
Specialization
Citations
This map shows the geographic impact of Pradeep Kumar Bhatia'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 Pradeep Kumar Bhatia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pradeep Kumar Bhatia more than expected).
Fields of papers citing papers by Pradeep Kumar Bhatia
This network shows the impact of papers produced by Pradeep Kumar Bhatia. 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 Pradeep Kumar Bhatia. The network helps show where Pradeep Kumar Bhatia may publish in the future.
Co-authorship network of co-authors of Pradeep Kumar Bhatia
This figure shows the co-authorship network connecting the top 25 collaborators of Pradeep Kumar Bhatia.
A scholar is included among the top collaborators of Pradeep Kumar Bhatia 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 Pradeep Kumar Bhatia. Pradeep Kumar Bhatia is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Bhatia, Pradeep Kumar, et al.. (2020). Different computational perspective of test suite minimization in software testing. International journal of scientific and technology research. 9(2). 1450–1454.
Kumar, Gaurav & Pradeep Kumar Bhatia. (2016). Empirical analysis of image compression using wavelets, discrete cosine transform and neural network. International Conference on Computing for Sustainable Global Development. 3862–3866.1 indexed citations
Kumar, Gaurav & Pradeep Kumar Bhatia. (2014). A Detailed Review of Feature Extraction in Image Processing Systems. 5–12.305 indexed citations breakdown →
14.
Bhatia, Pradeep Kumar, et al.. (2013). Cost Benefit Analysis of a 2-Out-of-3 Induced Draft Fans System with Priority for Operation to Cold Standby over Working at Reduced Capacity.5 indexed citations
15.
Bhatia, Pradeep Kumar, et al.. (2012). Analytical Analysis of Generic Reusability: Weyuker's Properties.2 indexed citations
Bhatia, Pradeep Kumar & Yogesh Singh. (2006). Quantification Criteria for Optimization of Modules in OO Design.. Software Engineering Research and Practice. 972–979.
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.