Manish Goyal

30 total papers · 621 total citations
21 papers, 549 citations indexed

About

Manish Goyal is a scholar working on Modeling and Simulation, Numerical Analysis and Statistical and Nonlinear Physics. According to data from OpenAlex, Manish Goyal has authored 21 papers receiving a total of 549 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Modeling and Simulation, 12 papers in Numerical Analysis and 5 papers in Statistical and Nonlinear Physics. Recurrent topics in Manish Goyal's work include Fractional Differential Equations Solutions (19 papers), Iterative Methods for Nonlinear Equations (9 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (5 papers). Manish Goyal is often cited by papers focused on Fractional Differential Equations Solutions (19 papers), Iterative Methods for Nonlinear Equations (9 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (5 papers). Manish Goyal collaborates with scholars based in India, Türkiye and Romania. Manish Goyal's co-authors include Amit Prakash, Shivangi Gupta, Hacı Mehmet Başkonuş, D. G. Prakasha, P. Veeresha, Vinod Kumar Bhardwaj, Dumitru Bǎleanu, Amit Saraswat, R. K. Tiwari and Anirudh Pradhan and has published in prestigious journals such as Chaos Solitons & Fractals, Mathematical Methods in the Applied Sciences and The European Physical Journal Plus.

In The Last Decade

Manish Goyal

21 papers receiving 542 citations

Author Peers

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

Author						Papers	Cites
Manish Goyal	507	263	208	128	123	21	549
Bahar Acay	385 0.8×	106 0.4×	120 0.6×	148 1.2×	138 1.1×	20	473
Amjad Shaikh	485 1.0×	116 0.4×	100 0.5×	210 1.6×	159 1.3×	26	580
Samia Bushnaq	358 0.7×	141 0.5×	76 0.4×	105 0.8×	131 1.1×	32	489
Ajay Kumar	353 0.7×	120 0.5×	116 0.6×	139 1.1×	87 0.7×	33	456
Ahmet Gökdoğan	459 0.9×	224 0.9×	170 0.8×	114 0.9×	100 0.8×	26	551
Hassan Mohammadi Pirouz	280 0.6×	102 0.4×	116 0.6×	105 0.8×	78 0.6×	12	467
Ram Swroop	483 1.0×	294 1.1×	218 1.0×	66 0.5×	130 1.1×	13	535
Mohammad Javidi	498 1.0×	351 1.3×	105 0.5×	71 0.6×	204 1.7×	48	605
K. Logeswari	451 0.9×	157 0.6×	71 0.3×	115 0.9×	257 2.1×	12	499
Chandrali Baishya	365 0.7×	69 0.3×	185 0.9×	137 1.1×	67 0.5×	28	484

Countries citing papers authored by Manish Goyal

Since Specialization

Citations

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

Fields of papers citing papers by Manish Goyal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Manish Goyal. 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 Manish Goyal. The network helps show where Manish Goyal may publish in the future.

Co-authorship network of co-authors of Manish Goyal

This figure shows the co-authorship network connecting the top 25 collaborators of Manish Goyal. A scholar is included among the top collaborators of Manish Goyal 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 Manish Goyal. Manish Goyal 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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