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 Brief Review on Electrode Materials for Supercapacitor
This map shows the geographic impact of S. Dash'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 S. Dash with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Dash more than expected).
This network shows the impact of papers produced by S. Dash. 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 S. Dash. The network helps show where S. Dash may publish in the future.
Co-authorship network of co-authors of S. Dash
This figure shows the co-authorship network connecting the top 25 collaborators of S. Dash.
A scholar is included among the top collaborators of S. Dash 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 S. Dash. S. Dash is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Dash, S., et al.. (2020). Hepatocellular Carcinoma Mechanisms Associated with Chronic HCV Infection and the Impact of Direct-Acting Antiviral Treatment. SHILAP Revista de lepidopterología.4 indexed citations
Dash, S., et al.. (2013). Neural Techniques for Improving the Classification Accuracy of Microarray Data Set using Rough Set Feature Selection Method. International Journal of Computer Trends and Technology. 4(3). 424–429.3 indexed citations
13.
Dash, S., et al.. (2013). Rough set aided gene selection for cancer classification. 290–294.1 indexed citations
Dash, S. & Tord Kjellström. (2011). Workplace heat stress in the context of rising temperature in India. Current Science.42 indexed citations
16.
Nashine, B.K., et al.. (2007). Performance testing of indigenously developed DC conduction pump for sodium cooled fast reactor. Indian Journal of Engineering and Materials Sciences. 14(3). 209–214.17 indexed citations
17.
Chandrasekar, A., et al.. (2007). Effect of Inclusion of a Synthetic Vortex on the Prediction of a Tropical Cyclone over the Bay of Bengal Using a Mesoscale Model. International Journal of Ecology & Development. 4. 35–51.1 indexed citations
18.
Dash, S. & Saji Mohandas. (2005). Comparative study of different orographic representations with respect to the Indian summer monsoon simulation. 53. 325–340.2 indexed citations
19.
Dash, S., et al.. (1997). Ultrasonic study of binary mixtures of acetyl acetone (HAA) and di-isobutyl ketone (DIBK) in non-polar diluents. 21(3). 52–57.3 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.