Ram K. Saxena

45 total papers · 1.1k total citations
32 papers, 726 citations indexed

About

Ram K. Saxena is a scholar working on Applied Mathematics, Modeling and Simulation and Numerical Analysis. According to data from OpenAlex, Ram K. Saxena has authored 32 papers receiving a total of 726 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Applied Mathematics, 15 papers in Modeling and Simulation and 9 papers in Numerical Analysis. Recurrent topics in Ram K. Saxena's work include Mathematical functions and polynomials (18 papers), Fractional Differential Equations Solutions (15 papers) and Iterative Methods for Nonlinear Equations (6 papers). Ram K. Saxena is often cited by papers focused on Mathematical functions and polynomials (18 papers), Fractional Differential Equations Solutions (15 papers) and Iterative Methods for Nonlinear Equations (6 papers). Ram K. Saxena collaborates with scholars based in India, Croatia and Canada. Ram K. Saxena's co-authors include H. J. Haubold, A. M. Mathai, Tibor K. Pogány, Ravi Saxena, H. M. Srivastava, Rakesh K. Parmar, Enzo Orsingher, Roberto Garra, Gianni Pagnini and Dinesh Kumar and has published in prestigious journals such as SHILAP Revista de lepidopterología, Physica A Statistical Mechanics and its Applications and Applied Mathematics and Computation.

In The Last Decade

Ram K. Saxena

32 papers receiving 681 citations

Hit Papers

The H-Function 2009 2026 2014 2020 2009 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Ram K. Saxena 357 335 161 124 106 32 726
R. G. Buschman 355 1.0× 181 0.5× 128 0.8× 70 0.6× 58 0.5× 42 649
M. Aslam Chaudhry 378 1.1× 177 0.5× 105 0.7× 38 0.3× 33 0.3× 32 672
Francesco Aldo Costabile 380 1.1× 254 0.8× 360 2.2× 174 1.4× 36 0.3× 83 886
Shilpi Jain 470 1.3× 482 1.4× 261 1.6× 159 1.3× 25 0.2× 90 851
Harold Exton 290 0.8× 54 0.2× 76 0.5× 108 0.9× 151 1.4× 41 770
Haakon Waadeland 384 1.1× 127 0.4× 158 1.0× 97 0.8× 16 0.2× 44 652
Joel L. Schiff 246 0.7× 112 0.3× 75 0.5× 74 0.6× 57 0.5× 30 662
Ram P. Kanwal 222 0.6× 99 0.3× 105 0.7× 65 0.5× 35 0.3× 15 687
Carlo Garoni 257 0.7× 60 0.2× 228 1.4× 41 0.3× 33 0.3× 50 808
G. M. Phillips 139 0.4× 81 0.2× 238 1.5× 62 0.5× 54 0.5× 49 670

Countries citing papers authored by Ram K. Saxena

Since Specialization
Citations

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

Fields of papers citing papers by Ram K. Saxena

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ram K. Saxena. 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 Ram K. Saxena. The network helps show where Ram K. Saxena may publish in the future.

Co-authorship network of co-authors of Ram K. Saxena

This figure shows the co-authorship network connecting the top 25 collaborators of Ram K. Saxena. A scholar is included among the top collaborators of Ram K. Saxena 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 Ram K. Saxena. Ram K. Saxena 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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