P. Ν. Agrawal

213 total papers · 1.6k total citations
145 papers, 1.0k citations indexed

About

P. Ν. Agrawal is a scholar working on Statistics and Probability, Numerical Analysis and Applied Mathematics. According to data from OpenAlex, P. Ν. Agrawal has authored 145 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 130 papers in Statistics and Probability, 88 papers in Numerical Analysis and 64 papers in Applied Mathematics. Recurrent topics in P. Ν. Agrawal's work include Approximation Theory and Sequence Spaces (130 papers), Mathematical Approximation and Integration (68 papers) and Iterative Methods for Nonlinear Equations (37 papers). P. Ν. Agrawal is often cited by papers focused on Approximation Theory and Sequence Spaces (130 papers), Mathematical Approximation and Integration (68 papers) and Iterative Methods for Nonlinear Equations (37 papers). P. Ν. Agrawal collaborates with scholars based in India, Kosovo and Türkiye. P. Ν. Agrawal's co-authors include Arun Kajla, Vijay Gupta, Nurhayat İspir, Ana Maria Acu, Vijay Gupta, Tuncer Acar, Themistocles M. Rassias, Harvir Singh Kasana, Zoltán Fınta and H. M. Srivastava and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Applied Soft Computing.

In The Last Decade

P. Ν. Agrawal

133 papers receiving 909 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
P. Ν. Agrawal 943 776 548 71 61 145 1.0k
Ana Maria Acu 806 0.9× 605 0.8× 483 0.9× 68 1.0× 71 1.2× 121 903
Asif Khan 719 0.8× 575 0.7× 458 0.8× 110 1.5× 89 1.5× 58 929
Ilaria Mantellını 790 0.8× 457 0.6× 685 1.3× 48 0.7× 11 0.2× 71 917
Francesco Altomare 847 0.9× 528 0.7× 621 1.1× 52 0.7× 57 0.9× 62 985
M. Mursaleen 932 1.0× 577 0.7× 592 1.1× 46 0.6× 149 2.4× 73 1.1k
Michele Campıtı 620 0.7× 454 0.6× 465 0.8× 46 0.6× 43 0.7× 35 810
Lakshmi Narayan Mishra 375 0.4× 463 0.6× 468 0.9× 35 0.5× 71 1.2× 132 998
P. Vértesi 287 0.3× 412 0.5× 711 1.3× 166 2.3× 6 0.1× 107 921
Mehmet Gürdal 685 0.7× 312 0.4× 561 1.0× 13 0.2× 149 2.4× 117 970
Tibor Šalát 946 1.0× 517 0.7× 502 0.9× 8 0.1× 224 3.7× 53 1.1k

Countries citing papers authored by P. Ν. Agrawal

Since Specialization
Citations

This map shows the geographic impact of P. Ν. Agrawal'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 P. Ν. Agrawal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. Ν. Agrawal more than expected).

Fields of papers citing papers by P. Ν. Agrawal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P. Ν. Agrawal. 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 P. Ν. Agrawal. The network helps show where P. Ν. Agrawal may publish in the future.

Co-authorship network of co-authors of P. Ν. Agrawal

This figure shows the co-authorship network connecting the top 25 collaborators of P. Ν. Agrawal. A scholar is included among the top collaborators of P. Ν. Agrawal 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 P. Ν. Agrawal. P. Ν. Agrawal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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.

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