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.
Countries citing papers authored by J. Vasundhara Devi
Since
Specialization
Citations
This map shows the geographic impact of J. Vasundhara Devi'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 J. Vasundhara Devi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Vasundhara Devi more than expected).
Fields of papers citing papers by J. Vasundhara Devi
This network shows the impact of papers produced by J. Vasundhara Devi. 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 J. Vasundhara Devi. The network helps show where J. Vasundhara Devi may publish in the future.
Co-authorship network of co-authors of J. Vasundhara Devi
This figure shows the co-authorship network connecting the top 25 collaborators of J. Vasundhara Devi.
A scholar is included among the top collaborators of J. Vasundhara Devi 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 J. Vasundhara Devi. J. Vasundhara Devi is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Devi, J. Vasundhara, et al.. (2016). Generalized Monotone Iterative Method for Caputo Fractional Integro-differential Equation. European Journal of Pure and Applied Mathematics. 9(4). 346–359.5 indexed citations
3.
Drici, Z., J. Vasundhara Devi, & F.A. McRae. (2014). On the comparison principle and existence results for terminal value problems. Nonlinear studies. 21(2). 269–282.2 indexed citations
4.
Devi, J. Vasundhara, et al.. (2014). Modeling of Prey Predator Problem by a Graph Dierential Equation. European Journal of Pure and Applied Mathematics. 7(1). 37–44.
5.
Devi, J. Vasundhara, et al.. (2013). On fractional hyperbolic functions and their generalizations. Nonlinear studies. 20(3). 331–348.1 indexed citations
Devi, J. Vasundhara, et al.. (2012). Stability Results for Set Differential Equations Involving Causal Operators with Memory. European Journal of Pure and Applied Mathematics. 5(2). 187–196.4 indexed citations
Devi, J. Vasundhara. (2011). Comparison theorems and existence results for set causal operators with memory. Nonlinear studies. 18(4). 603–610.1 indexed citations
10.
Devi, J. Vasundhara. (2010). Existence, Uniqueness of solutions for Set Differential Equations Involving Causal Operators with Memory. European Journal of Pure and Applied Mathematics. 3(4). 737–747.12 indexed citations
11.
Sivasundaram, S., J. Vasundhara Devi, Z. Drici, & F.A. McRae. (2009). Advances in nonlinear analysis : theory methods and applications.18 indexed citations
Devi, J. Vasundhara & A. S. Vatsala. (2004). Monotone Iterative Technique for Impulsive Set Differential Equations. Nonlinear studies. 11(4). 639–658.4 indexed citations
17.
Devi, J. Vasundhara. (2003). Basic Results in Impulsive Set Differential Equations. Nonlinear studies. 10(3). 259–272.3 indexed citations
18.
Devi, J. Vasundhara & A. S. Vatsala. (2000). QUASILINEARIZATION FOR SECOND ORDER SINGULAR BOUNDARY VALUE PROBLEMS WITH SOLUTIONS IN WEIGHTED SPACES. Journal of the Korean Mathematical Society. 37(5). 822–822.2 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.