Maksim Andreev

13 total papers · 617 total citations
13 papers, 503 citations indexed

About

Maksim Andreev is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Maksim Andreev has authored 13 papers receiving a total of 503 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Electrical and Electronic Engineering, 7 papers in Materials Chemistry and 4 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Maksim Andreev's work include Advanced Memory and Neural Computing (6 papers), Graphene research and applications (5 papers) and 2D Materials and Applications (5 papers). Maksim Andreev is often cited by papers focused on Advanced Memory and Neural Computing (6 papers), Graphene research and applications (5 papers) and 2D Materials and Applications (5 papers). Maksim Andreev collaborates with scholars based in South Korea, United States and United Kingdom. Maksim Andreev's co-authors include Jin‐Hong Park, Kil‐Su Jung, Seunghwan Seo, Sooyoung Jung, Jaewoo Shim, Keun Heo, Ki Seok Kim, Jae‐Woong Choi, Hyeongjun Kim and Je‐Jun Lee and has published in prestigious journals such as Advanced Materials, ACS Nano and Advanced Functional Materials.

In The Last Decade

Maksim Andreev

12 papers receiving 500 citations

Author Peers

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

Author Last Decade Papers Cites
Maksim Andreev 436 237 70 62 61 13 503
Xiaohe Huang 437 1.0× 327 1.4× 60 0.9× 83 1.3× 33 0.5× 21 595
Doyoon Lee 323 0.7× 202 0.9× 118 1.7× 58 0.9× 33 0.5× 13 450
Hangyu Xu 408 0.9× 229 1.0× 74 1.1× 83 1.3× 36 0.6× 25 522
Maheswari Sivan 416 1.0× 197 0.8× 100 1.4× 57 0.9× 14 0.2× 16 472
Jin Feng Leong 476 1.1× 284 1.2× 98 1.4× 75 1.2× 17 0.3× 17 587
Ui Yeon Won 315 0.7× 345 1.5× 59 0.8× 117 1.9× 39 0.6× 14 506
Jacopo Frascaroli 507 1.2× 173 0.7× 182 2.6× 58 0.9× 40 0.7× 21 567
Shuang Wang 388 0.9× 186 0.8× 79 1.1× 64 1.0× 16 0.3× 6 470
Shunli Ma 375 0.9× 209 0.9× 77 1.1× 60 1.0× 17 0.3× 13 454
Tsung‐Ta Wu 467 1.1× 182 0.8× 28 0.4× 53 0.9× 31 0.5× 25 506

Countries citing papers authored by Maksim Andreev

Since Specialization
Citations

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

Fields of papers citing papers by Maksim Andreev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maksim Andreev

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