Sergey L. Gratiy

35 total papers · 4.1k total citations
15 papers, 386 citations indexed

About

Sergey L. Gratiy is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Atmospheric Science. According to data from OpenAlex, Sergey L. Gratiy has authored 15 papers receiving a total of 386 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cognitive Neuroscience, 5 papers in Cellular and Molecular Neuroscience and 5 papers in Atmospheric Science. Recurrent topics in Sergey L. Gratiy's work include Neural dynamics and brain function (8 papers), Atmospheric Ozone and Climate (4 papers) and Advanced Memory and Neural Computing (3 papers). Sergey L. Gratiy is often cited by papers focused on Neural dynamics and brain function (8 papers), Atmospheric Ozone and Climate (4 papers) and Advanced Memory and Neural Computing (3 papers). Sergey L. Gratiy collaborates with scholars based in United States, Norway and Switzerland. Sergey L. Gratiy's co-authors include Christof Koch, Anton Arkhipov, Yazan N. Billeh, Kael Dai, Nathan W. Gouwens, Binghuang Cai, Ştefan Mihalaş, Deborah A. Levin, Xiaoxuan Jia and Joshua H. Siegle and has published in prestigious journals such as Neuron, Journal of Neuroscience and PLoS ONE.

In The Last Decade

Sergey L. Gratiy

15 papers receiving 382 citations

Author Peers

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

Author						Papers	Cites
Sergey L. Gratiy	245	150	75	57	32	15	386
Xue Song	214 0.9×	91 0.6×	14 0.2×	16 0.3×	42 1.3×	28	351
Gemma Huguet	202 0.8×	70 0.5×	25 0.3×	12 0.2×	31 1.0×	25	445
Keisuke Ota	274 1.1×	196 1.3×	33 0.4×	12 0.2×	46 1.4×	28	408
Subhaneil Lahiri	177 0.7×	158 1.1×	50 0.7×	47 0.8×	18 0.6×	7	382
R. de la Rosa	214 0.9×	30 0.2×	69 0.9×	51 0.9×	34 1.1×	20	368
E. J. Rhodes	139 0.6×	114 0.8×	17 0.2×	125 2.2×	27 0.8×	39	415
А. А. Овчинников	250 1.0×	68 0.5×	27 0.4×	4 0.1×	19 0.6×	14	405
Kamiar Rahnama Rad	167 0.7×	72 0.5×	40 0.5×	4 0.1×	25 0.8×	20	344
William E. Howell	37 0.2×	50 0.3×	17 0.2×	96 1.7×	74 2.3×	15	379
Aleksandra Pidde	137 0.6×	47 0.3×	7 0.1×	5 0.1×	27 0.8×	6	335

Countries citing papers authored by Sergey L. Gratiy

Since Specialization

Citations

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

Fields of papers citing papers by Sergey L. Gratiy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sergey L. Gratiy. 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 Sergey L. Gratiy. The network helps show where Sergey L. Gratiy may publish in the future.

Co-authorship network of co-authors of Sergey L. Gratiy

This figure shows the co-authorship network connecting the top 25 collaborators of Sergey L. Gratiy. A scholar is included among the top collaborators of Sergey L. Gratiy 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 Sergey L. Gratiy. Sergey L. Gratiy 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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