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.
Design of lightweight, broad-band microwave absorbers using genetic algorithms
1993502 citationsS. Ranji Ranjithan et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by S. Ranji Ranjithan
Since
Specialization
Citations
This map shows the geographic impact of S. Ranji Ranjithan'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. Ranji Ranjithan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Ranji Ranjithan more than expected).
Fields of papers citing papers by S. Ranji Ranjithan
This network shows the impact of papers produced by S. Ranji Ranjithan. 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. Ranji Ranjithan. The network helps show where S. Ranji Ranjithan may publish in the future.
Co-authorship network of co-authors of S. Ranji Ranjithan
This figure shows the co-authorship network connecting the top 25 collaborators of S. Ranji Ranjithan.
A scholar is included among the top collaborators of S. Ranji Ranjithan 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. Ranji Ranjithan. S. Ranji Ranjithan is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Kumar, Sujay V. & S. Ranji Ranjithan. (2002). Evaluation Of The Constraint Method-based Evolutionary Algorithm (CMEA) For A Three-objective Problem. Genetic and Evolutionary Computation Conference. 431–438.5 indexed citations
8.
Kumar, Sujay V. & S. Ranji Ranjithan. (2002). Evaluation of the constraint method-based multiobjective evolutionary algorithm (CMEA) for a three-objective optimization problem. Genetic and Evolutionary Computation Conference. 431–438.10 indexed citations
Loughlin, Daniel H. & S. Ranji Ranjithan. (1999). Chance-constrained genetic algorithms. Genetic and Evolutionary Computation Conference. 369–376.21 indexed citations
Harrell, Laura J. & S. Ranji Ranjithan. (1997). Generating Efficient Watershed Management Strategies Using a Genetic Algorithm-Based Method. 272–277.9 indexed citations
Rouphail, Nagui M., et al.. (1996). A Decision Support System for Dynamic Pre-Trip Route Planning. 325–329.15 indexed citations
15.
Loughlin, Daniel H. & S. Ranji Ranjithan. (1995). An Application of Genetic Algorithms in Air Quality Management. Computing in Civil Engineering. 963–970.1 indexed citations
Loughlin, Daniel H., Jeri Neal, S. Ranji Ranjithan, E. Downey Brill, & John W. Baugh. (1995). Decision Support System for Air Quality Management. Computing in Civil Engineering. 1367–1374.4 indexed citations
18.
Barlaz, Morton A., et al.. (1995). Integrated Solid Waste Management: 1. Mathematical Modeling. Computing in Civil Engineering. 1150–1157.3 indexed citations
19.
Ranjithan, S. Ranji, et al.. (1995). Integrated Solid Waste Management: 2. Decision Support System. Computing in Civil Engineering. 1158–1165.1 indexed citations
20.
Eheart, J. Wayland, David R. Morgan, & S. Ranji Ranjithan. (1991). Methods for Designing Hydraulic Aquifer Remediation Techniques. 852–858.3 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.