Г. Д. Нипан

127 total papers · 740 total citations
83 papers, 489 citations indexed

About

Г. Д. Нипан is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Catalysis. According to data from OpenAlex, Г. Д. Нипан has authored 83 papers receiving a total of 489 indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Materials Chemistry, 31 papers in Electrical and Electronic Engineering and 23 papers in Catalysis. Recurrent topics in Г. Д. Нипан's work include Catalysis and Oxidation Reactions (23 papers), Catalytic Processes in Materials Science (19 papers) and Advancements in Battery Materials (13 papers). Г. Д. Нипан is often cited by papers focused on Catalysis and Oxidation Reactions (23 papers), Catalytic Processes in Materials Science (19 papers) and Advancements in Battery Materials (13 papers). Г. Д. Нипан collaborates with scholars based in Russia, Belarus and Bulgaria. Г. Д. Нипан's co-authors include В. А. Кецко, A. I. Stognij, А. С. Локтев, А. Г. Дедов, И. И. Моисеев, А. S. Alikhanyan, Г. А. Бузанов, К. Yu. Zhizhin, Ksenia Parkhomenko and Н. Т. Кузнецов and has published in prestigious journals such as Applied Catalysis A General, Journal of Alloys and Compounds and Materials Research Bulletin.

In The Last Decade

Г. Д. Нипан

69 papers receiving 476 citations

Author Peers

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

Author						Papers	Cites
Г. Д. Нипан	370	174	117	98	96	83	489
В. Г. Бамбуров	395 1.1×	81 0.5×	152 1.3×	81 0.8×	95 1.0×	85	537
Pascal Boulet	313 0.8×	68 0.4×	129 1.1×	57 0.6×	69 0.7×	59	420
P. Poix	397 1.1×	111 0.6×	113 1.0×	52 0.5×	208 2.2×	52	551
Hisao Imai	312 0.8×	234 1.3×	47 0.4×	69 0.7×	48 0.5×	47	479
Kenji Ichimura	342 0.9×	54 0.3×	149 1.3×	43 0.4×	134 1.4×	53	495
Chubin Wan	412 1.1×	148 0.9×	74 0.6×	58 0.6×	52 0.5×	40	481
Damian Szymański	374 1.0×	79 0.5×	152 1.3×	56 0.6×	145 1.5×	61	530
N. I. Ionescu	357 1.0×	151 0.9×	149 1.3×	46 0.5×	48 0.5×	43	518
Lukas Perfler	256 0.7×	57 0.3×	93 0.8×	74 0.8×	157 1.6×	44	427
L. A. Perelyaeva	332 0.9×	43 0.2×	222 1.9×	60 0.6×	100 1.0×	47	499

Countries citing papers authored by Г. Д. Нипан

Since Specialization

Citations

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

Fields of papers citing papers by Г. Д. Нипан

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Г. Д. Нипан. 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 Г. Д. Нипан. The network helps show where Г. Д. Нипан may publish in the future.

Co-authorship network of co-authors of Г. Д. Нипан

This figure shows the co-authorship network connecting the top 25 collaborators of Г. Д. Нипан. A scholar is included among the top collaborators of Г. Д. Нипан 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 Г. Д. Нипан. Г. Д. Нипан 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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