Arman Ray Nisay

19 total papers · 486 total citations
16 papers, 396 citations indexed

About

Arman Ray Nisay is a scholar working on Condensed Matter Physics, Biomedical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Arman Ray Nisay has authored 16 papers receiving a total of 396 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Condensed Matter Physics, 15 papers in Biomedical Engineering and 4 papers in Electrical and Electronic Engineering. Recurrent topics in Arman Ray Nisay's work include Physics of Superconductivity and Magnetism (15 papers), Superconducting Materials and Applications (13 papers) and Superconductivity in MgB2 and Alloys (5 papers). Arman Ray Nisay is often cited by papers focused on Physics of Superconductivity and Magnetism (15 papers), Superconducting Materials and Applications (13 papers) and Superconductivity in MgB2 and Alloys (5 papers). Arman Ray Nisay collaborates with scholars based in South Korea, United States and Philippines. Arman Ray Nisay's co-authors include Hyung-Seop Shin, John Ryan C. Dizon, Rigoberto C. Advíncula, Ho Kyong Shon, Idris Ibrahim, Leonard D. Tijing, Alking Gorospe, Marlon J. Dedicatoria, Michael de Leon and Kideok Sim and has published in prestigious journals such as Physica C Superconductivity, Superconductor Science and Technology and Applied Materials Today.

In The Last Decade

Arman Ray Nisay

16 papers receiving 368 citations

Author Peers

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

Author						Papers	Cites
Arman Ray Nisay	247	146	99	84	74	16	396
Jonas Lölsberg	265 1.1×	15 0.1×	135 1.4×	44 0.5×	127 1.7×	17	438
Zhe Jiang	172 0.7×	44 0.3×	137 1.4×	7 0.1×	60 0.8×	25	404
Jonathan T. Davis	114 0.5×	17 0.1×	217 2.2×	64 0.8×	26 0.4×	17	439
Deng Pan	137 0.6×	145 1.0×	87 0.9×	5 0.1×	12 0.2×	16	349
Xuewei Li	62 0.3×	22 0.2×	48 0.5×	40 0.5×	17 0.2×	18	362
Regina Bulatova	51 0.2×	48 0.3×	76 0.8×	45 0.5×	11 0.1×	10	352
H. Zeng	157 0.6×	139 1.0×	73 0.7×	6 0.1×	20 0.3×	14	396
Ming Dai	111 0.4×	13 0.1×	85 0.9×	15 0.2×	75 1.0×	12	442
Kaihang Chen	72 0.3×	34 0.2×	77 0.8×	19 0.2×	6 0.1×	11	348
Yide Liu	126 0.5×	25 0.2×	119 1.2×	30 0.4×	5 0.1×	21	354

Countries citing papers authored by Arman Ray Nisay

Since Specialization

Citations

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

Fields of papers citing papers by Arman Ray Nisay

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Arman Ray Nisay. 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 Arman Ray Nisay. The network helps show where Arman Ray Nisay may publish in the future.

Co-authorship network of co-authors of Arman Ray Nisay

This figure shows the co-authorship network connecting the top 25 collaborators of Arman Ray Nisay. A scholar is included among the top collaborators of Arman Ray Nisay 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 Arman Ray Nisay. Arman Ray Nisay 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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