S. L. Yadava

30 total papers · 819 total citations
25 papers, 604 citations indexed

About

S. L. Yadava is a scholar working on Applied Mathematics, Computational Theory and Mathematics and Mathematical Physics. According to data from OpenAlex, S. L. Yadava has authored 25 papers receiving a total of 604 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Applied Mathematics, 20 papers in Computational Theory and Mathematics and 9 papers in Mathematical Physics. Recurrent topics in S. L. Yadava's work include Nonlinear Partial Differential Equations (22 papers), Advanced Mathematical Modeling in Engineering (20 papers) and Nonlinear Differential Equations Analysis (8 papers). S. L. Yadava is often cited by papers focused on Nonlinear Partial Differential Equations (22 papers), Advanced Mathematical Modeling in Engineering (20 papers) and Nonlinear Differential Equations Analysis (8 papers). S. L. Yadava collaborates with scholars based in India, Italy and Netherlands. S. L. Yadava's co-authors include Adimurthi, Filomena Pacella, G.B. John Mancini, P. N. Srikanth, Massimo Grossi and Bhavesh Sinha and has published in prestigious journals such as Transactions of the American Mathematical Society, Archive for Rational Mechanics and Analysis and Journal of Differential Equations.

In The Last Decade

S. L. Yadava

24 papers receiving 546 citations

Author Peers

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

Author Last Decade Papers Cites
S. L. Yadava 576 533 205 60 17 25 604
Mabel Cuesta 527 0.9× 496 0.9× 280 1.4× 42 0.7× 24 1.4× 31 557
M. V. Safonov 570 1.0× 418 0.8× 267 1.3× 53 0.9× 44 2.6× 24 686
Zhisu Liu 519 0.9× 357 0.7× 258 1.3× 35 0.6× 113 6.6× 39 554
Francesco Nicolosi 466 0.8× 365 0.7× 144 0.7× 60 1.0× 52 3.1× 49 504
Sunra Mosconi 483 0.8× 398 0.7× 161 0.8× 32 0.5× 22 1.3× 35 544
Zhen-Qing Chen 388 0.7× 288 0.5× 430 2.1× 34 0.6× 39 2.3× 23 680
Sergio Segura de León 498 0.9× 483 0.9× 283 1.4× 22 0.4× 48 2.8× 50 565
Wenxiong Chen 588 1.0× 294 0.6× 211 1.0× 44 0.7× 17 1.0× 12 605
Roberta Filippucci 554 1.0× 440 0.8× 232 1.1× 38 0.6× 34 2.0× 40 569
G. Palmieri 478 0.8× 377 0.7× 134 0.7× 52 0.9× 23 1.4× 16 501

Countries citing papers authored by S. L. Yadava

Since Specialization
Citations

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

Fields of papers citing papers by S. L. Yadava

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. L. Yadava. 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. L. Yadava. The network helps show where S. L. Yadava may publish in the future.

Co-authorship network of co-authors of S. L. Yadava

This figure shows the co-authorship network connecting the top 25 collaborators of S. L. Yadava. A scholar is included among the top collaborators of S. L. Yadava 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. L. Yadava. S. L. Yadava 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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