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.
Testing the safe-haven properties of gold and bitcoin in the backdrop of COVID-19: A wavelet quantile correlation approach
2022178 citationsAnoop Kumar et al.Finance research lettersprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
This map shows the geographic impact of Anoop Kumar'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 Anoop Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anoop Kumar more than expected).
This network shows the impact of papers produced by Anoop Kumar. 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 Anoop Kumar. The network helps show where Anoop Kumar may publish in the future.
Co-authorship network of co-authors of Anoop Kumar
This figure shows the co-authorship network connecting the top 25 collaborators of Anoop Kumar.
A scholar is included among the top collaborators of Anoop Kumar 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 Anoop Kumar. Anoop Kumar is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Kumar, Anoop, et al.. (2022). Testing the safe-haven properties of gold and bitcoin in the backdrop of COVID-19: A wavelet quantile correlation approach. Finance research letters. 47. 102707–102707.178 indexed citations breakdown →
Kumar, Anoop. (2020). Testing Safe Haven Property of Bitcoin and Gold during Covid-19 : Evidence from Multivariate GARCH analysis. Economics bulletin. 40(3). 2005–2015.15 indexed citations
14.
Kumar, Anoop, et al.. (2019). Routing Strategy based on Centrality in Opportunistic Networks. International Conference on Computing for Sustainable Global Development.1 indexed citations
15.
Kumar, Anoop & Bandi Kamaiah. (2016). Efficiency, non-linearity and chaos: evidences from BRICS foreign exchange markets. SHILAP Revista de lepidopterología. 103–118.8 indexed citations
Kumar, Anoop & Bandi Kamaiah. (2014). Efficient Market Hypothesis: Some Evidences from Emerging European Forex Markets. SHILAP Revista de lepidopterología.1 indexed citations
18.
Kumar, Anoop & Bandi Kamaiah. (2014). Wavelet based sample entropy analysis: A new method to test weak form market efficiency. SHILAP Revista de lepidopterología.3 indexed citations
19.
Kumar, Anoop & Bandi Kamaiah. (2014). On Chaotic Nature of the Emerging European Forex Markets. SHILAP Revista de lepidopterología.1 indexed citations
20.
Kumar, Anoop. (2011). Testing for Weak Form of Market Efficiency in Indian Foreign Exchange Market. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 9(3). 7–19.2 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.