Sudip Pandey

68 total papers · 691 total citations
46 papers, 605 citations indexed

About

Sudip Pandey is a scholar working on Electronic, Optical and Magnetic Materials, Materials Chemistry and Mechanical Engineering. According to data from OpenAlex, Sudip Pandey has authored 46 papers receiving a total of 605 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Electronic, Optical and Magnetic Materials, 40 papers in Materials Chemistry and 7 papers in Mechanical Engineering. Recurrent topics in Sudip Pandey's work include Shape Memory Alloy Transformations (38 papers), Magnetic and transport properties of perovskites and related materials (34 papers) and Heusler alloys: electronic and magnetic properties (16 papers). Sudip Pandey is often cited by papers focused on Shape Memory Alloy Transformations (38 papers), Magnetic and transport properties of perovskites and related materials (34 papers) and Heusler alloys: electronic and magnetic properties (16 papers). Sudip Pandey collaborates with scholars based in United States, Russia and Finland. Sudip Pandey's co-authors include Anil Aryal, Igor Dubenko, Shane Stadler, Naushad Ali, Abdiel Quetz, Dipanjan Mazumdar, A. B. Granovsky, Tapas Samanta, E. Lähderanta and I. D. Rodionov and has published in prestigious journals such as Journal of Applied Physics, The Journal of Physical Chemistry B and Journal of Alloys and Compounds.

In The Last Decade

Sudip Pandey

46 papers receiving 593 citations

Author Peers

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

Author						Papers	Cites
Sudip Pandey	539	528	108	61	31	46	605
Anil Aryal	543 1.0×	525 1.0×	103 1.0×	61 1.0×	33 1.1×	51	616
А. П. Каманцев	462 0.9×	436 0.8×	93 0.9×	63 1.0×	32 1.0×	72	557
Jun Liu	427 0.8×	473 0.9×	186 1.7×	92 1.5×	20 0.6×	39	654
А. В. Маширов	393 0.7×	451 0.9×	102 0.9×	50 0.8×	38 1.2×	65	539
Alexandre Pasko	307 0.6×	414 0.8×	186 1.7×	50 0.8×	53 1.7×	56	577
Antoni Żywczak	235 0.4×	404 0.8×	218 2.0×	20 0.3×	64 2.1×	52	547
Z D Zhang	436 0.8×	320 0.6×	89 0.8×	79 1.3×	145 4.7×	27	527
Barış Emre	575 1.1×	550 1.0×	55 0.5×	97 1.6×	8 0.3×	34	650
Michaela Küpferling	474 0.9×	351 0.7×	81 0.8×	78 1.3×	67 2.2×	31	523
Kun Xu	489 0.9×	454 0.9×	98 0.9×	123 2.0×	53 1.7×	56	608

Countries citing papers authored by Sudip Pandey

Since Specialization

Citations

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

Fields of papers citing papers by Sudip Pandey

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sudip Pandey

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