Pradyumn Kumar Arya

33 total papers · 489 total citations
23 papers, 283 citations indexed

About

Pradyumn Kumar Arya is a scholar working on Mechanical Engineering, Materials Chemistry and Mechanics of Materials. According to data from OpenAlex, Pradyumn Kumar Arya has authored 23 papers receiving a total of 283 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Mechanical Engineering, 8 papers in Materials Chemistry and 5 papers in Mechanics of Materials. Recurrent topics in Pradyumn Kumar Arya's work include Additive Manufacturing Materials and Processes (10 papers), Advanced Welding Techniques Analysis (7 papers) and High Entropy Alloys Studies (7 papers). Pradyumn Kumar Arya is often cited by papers focused on Additive Manufacturing Materials and Processes (10 papers), Advanced Welding Techniques Analysis (7 papers) and High Entropy Alloys Studies (7 papers). Pradyumn Kumar Arya collaborates with scholars based in India, Sweden and Canada. Pradyumn Kumar Arya's co-authors include Neelesh Kumar Jain, Vinay Kumar Patel, K. Guruvidyathri, Ravikirana, J. P. Panda, B.S. Murty, Vivek Patel, Kuldeep K. Saxena, Ajit Kumar and Vivek Kumar and has published in prestigious journals such as Journal of Alloys and Compounds, Metallurgical and Materials Transactions A and Materials Letters.

In The Last Decade

Pradyumn Kumar Arya

18 papers receiving 259 citations

Author Peers

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

Author						Papers	Cites
Pradyumn Kumar Arya	151	70	66	50	44	23	283
Jiawei Zhang	79 0.5×	50 0.7×	53 0.8×	31 0.6×	97 2.2×	40	285
Yanan Liu	132 0.9×	29 0.4×	120 1.8×	67 1.3×	55 1.3×	20	279
Waheed Ur Rehman	176 1.2×	97 1.4×	34 0.5×	12 0.2×	61 1.4×	34	307
T. Březina	122 0.8×	73 1.0×	21 0.3×	17 0.3×	36 0.8×	22	266
Darren F. Kavanagh	112 0.7×	137 2.0×	48 0.7×	55 1.1×	168 3.8×	27	322
Hironobu Kikuchi	57 0.4×	38 0.5×	52 0.8×	150 3.0×	45 1.0×	24	278
Enkhsaikhan Boldsaikhan	185 1.2×	24 0.3×	109 1.7×	16 0.3×	18 0.4×	15	287
Zhengxue Zhou	82 0.5×	122 1.7×	32 0.5×	42 0.8×	26 0.6×	15	326
Kai Wang	42 0.3×	45 0.6×	43 0.7×	34 0.7×	123 2.8×	30	292
Zhi Li	91 0.6×	153 2.2×	38 0.6×	24 0.5×	27 0.6×	30	320

Countries citing papers authored by Pradyumn Kumar Arya

Since Specialization

Citations

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

Fields of papers citing papers by Pradyumn Kumar Arya

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pradyumn Kumar Arya. 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 Pradyumn Kumar Arya. The network helps show where Pradyumn Kumar Arya may publish in the future.

Co-authorship network of co-authors of Pradyumn Kumar Arya

This figure shows the co-authorship network connecting the top 25 collaborators of Pradyumn Kumar Arya. A scholar is included among the top collaborators of Pradyumn Kumar Arya 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 Pradyumn Kumar Arya. Pradyumn Kumar Arya 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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