Ivan Skachko

4.6k total citations · 1 hit paper
6 papers, 1.0k citations indexed

About

Ivan Skachko is a scholar working on Materials Chemistry, Atomic and Molecular Physics, and Optics and Electrical and Electronic Engineering. According to data from OpenAlex, Ivan Skachko has authored 6 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Materials Chemistry, 5 papers in Atomic and Molecular Physics, and Optics and 4 papers in Electrical and Electronic Engineering. Recurrent topics in Ivan Skachko's work include Graphene research and applications (6 papers), Quantum and electron transport phenomena (5 papers) and Low-power high-performance VLSI design (2 papers). Ivan Skachko is often cited by papers focused on Graphene research and applications (6 papers), Quantum and electron transport phenomena (5 papers) and Low-power high-performance VLSI design (2 papers). Ivan Skachko collaborates with scholars based in United States and Japan. Ivan Skachko's co-authors include Eva Y. Andrei, Xu Du, Fabian Duerr, Adina Luican, Leonid Levitov, Dmitry A. Abanin, Maxim Kharitonov, Guohong Li, Chih-Pin Lu and Takashi Taniguchi and has published in prestigious journals such as Nature, Physical Review Letters and Physical Review B.

In The Last Decade

Ivan Skachko

6 papers receiving 999 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Fractional quantum Hall effect and insulating phase of Dirac electrons in graphene

2009 687 citations Xu Du, Ivan Skachko et al. Nature profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Ivan Skachko United States	6	866	753	238	104	84	6	1.0k
Imre Hagymási Hungary	10	671 0.8×	494 0.7×	232 1.0×	137 1.3×	70 0.8×	22	894
M. Zarenia Belgium	20	1.1k 1.2×	757 1.0×	308 1.3×	74 0.7×	133 1.6×	56	1.2k
David Abergel United States	15	966 1.1×	751 1.0×	262 1.1×	62 0.6×	252 3.0×	41	1.2k
Marius Eich Switzerland	19	988 1.1×	830 1.1×	342 1.4×	131 1.3×	89 1.1×	28	1.2k
C. J. Tabert Canada	11	808 0.9×	769 1.0×	102 0.4×	56 0.5×	77 0.9×	14	918
Haoxin Zhou United States	13	848 1.0×	924 1.2×	137 0.6×	215 2.1×	50 0.6×	19	1.2k
Jesper Goor Pedersen Denmark	13	684 0.8×	485 0.6×	264 1.1×	28 0.3×	170 2.0×	23	845
W. Poirier France	16	421 0.5×	494 0.7×	441 1.9×	71 0.7×	101 1.2×	46	808
Paul Cadden-Zimansky United States	12	1.0k 1.2×	1.1k 1.5×	256 1.1×	271 2.6×	100 1.2×	24	1.4k
Le T.T. Phuong Vietnam	17	572 0.7×	288 0.4×	284 1.2×	49 0.5×	61 0.7×	64	790

Countries citing papers authored by Ivan Skachko

Since Specialization

Citations

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

Fields of papers citing papers by Ivan Skachko

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ivan Skachko

This figure shows the co-authorship network connecting the top 25 collaborators of Ivan Skachko. A scholar is included among the top collaborators of Ivan Skachko 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 Ivan Skachko. Ivan Skachko is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

6 of 6 papers shown

1.

Luican‐Mayer, Adina, Maxim Kharitonov, Guohong Li, et al.. (2014). Screening Charged Impurities and Lifting the Orbital Degeneracy in Graphene by Populating Landau Levels. Physical Review Letters. 112(3). 36804–36804. 56 indexed citations

2.

Skachko, Ivan, Xu Du, Fabian Duerr, et al.. (2010). Fractional quantum Hall effect in suspended graphene probed with two-terminal measurements. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 368(1932). 5403–5416. 25 indexed citations

3.

Abanin, Dmitry A., Ivan Skachko, Xuesen Du, Eva Y. Andrei, & Leonid Levitov. (2010). Fractional quantum Hall effect in suspended graphene: Transport coefficients and electron interaction strength. Physical Review B. 81(11). 29 indexed citations

4.

Du, Xu, Ivan Skachko, Fabian Duerr, Adina Luican, & Eva Y. Andrei. (2009). Fractional quantum Hall effect and insulating phase of Dirac electrons in graphene. Nature. 462(7270). 192–195. 687 indexed citations breakdown →

5.

Du, Xu, Ivan Skachko, & Eva Y. Andrei. (2008). TOWARDS BALLISTIC TRANSPORT IN GRAPHENE. International Journal of Modern Physics B. 22(25n26). 4579–4588. 19 indexed citations

6.

Du, Xu, Ivan Skachko, & Eva Y. Andrei. (2008). Josephson current and multiple Andreev reflections in graphene SNS junctions. Physical Review B. 77(18). 205 indexed citations

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.

Explore authors with similar magnitude of impact