E. Dagotto

4.1k total citations · 1 hit paper
29 papers, 3.3k citations indexed

About

E. Dagotto is a scholar working on Condensed Matter Physics, Electronic, Optical and Magnetic Materials and Materials Chemistry. According to data from OpenAlex, E. Dagotto has authored 29 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Condensed Matter Physics, 24 papers in Electronic, Optical and Magnetic Materials and 8 papers in Materials Chemistry. Recurrent topics in E. Dagotto's work include Physics of Superconductivity and Magnetism (19 papers), Advanced Condensed Matter Physics (19 papers) and Magnetic and transport properties of perovskites and related materials (18 papers). E. Dagotto is often cited by papers focused on Physics of Superconductivity and Magnetism (19 papers), Advanced Condensed Matter Physics (19 papers) and Magnetic and transport properties of perovskites and related materials (18 papers). E. Dagotto collaborates with scholars based in United States, Japan and Germany. E. Dagotto's co-authors include Pengcheng Dai, Jiangping Hu, Cengiz Şen, И. В. Сергиенко, Adriana Moreo, S. S. Kancharla, Gonzalo Álvarez, G. B. Martins, Adrian Feiguin and Fabian Heidrich‐Meisner and has published in prestigious journals such as Science, Physical Review Letters and Physical Review B.

In The Last Decade

E. Dagotto

29 papers receiving 3.2k citations

Hit Papers

Complexity in Strongly Correlated Electronic Systems 2005 2026 2012 2019 2005 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
E. Dagotto United States 17 2.5k 2.2k 1.2k 591 269 29 3.3k
T. Yoshida Japan 30 2.4k 1.0× 3.0k 1.4× 923 0.8× 731 1.2× 232 0.9× 106 3.7k
Myung Joon Han South Korea 29 1.5k 0.6× 1.2k 0.6× 1.3k 1.1× 467 0.8× 444 1.7× 106 2.6k
H.‐A. Krug von Nidda Germany 36 4.1k 1.7× 3.6k 1.6× 1.6k 1.4× 654 1.1× 380 1.4× 174 5.0k
A. V. Boris Germany 33 2.6k 1.1× 2.1k 0.9× 1.2k 1.0× 472 0.8× 393 1.5× 78 3.3k
Y. Kasahara Japan 26 1.6k 0.7× 2.3k 1.0× 1.2k 1.0× 910 1.5× 450 1.7× 93 3.4k
Andriy H. Nevidomskyy United States 26 1.5k 0.6× 1.7k 0.7× 971 0.8× 661 1.1× 461 1.7× 80 2.9k
A. A. Aczel United States 28 2.2k 0.9× 2.7k 1.2× 755 0.6× 641 1.1× 406 1.5× 122 3.4k
W. Meevasana Thailand 29 2.1k 0.8× 2.0k 0.9× 1.8k 1.5× 807 1.4× 763 2.8× 84 3.7k
S. J. Moon South Korea 24 2.2k 0.9× 2.5k 1.1× 1.1k 0.9× 400 0.7× 297 1.1× 59 3.0k
T. Mertelj Slovenia 24 1.1k 0.4× 1.1k 0.5× 985 0.8× 779 1.3× 566 2.1× 82 2.3k

Countries citing papers authored by E. Dagotto

Since Specialization
Citations

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

Fields of papers citing papers by E. Dagotto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of E. Dagotto

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

All Works

20 of 20 papers shown
1.
Álvarez, Gonzalo, et al.. (2023). Hund bands in spectra of multiorbital systems. Physical review. B.. 108(8). 5 indexed citations
2.
Kaushal, Nitin & E. Dagotto. (2023). Moiré Kanamori-Hubbard model for transition metal dichalcogenide homobilayers. Physical review. B.. 107(20). 4 indexed citations
3.
Nocera, Alberto, et al.. (2017). Signatures of pairing in the magnetic excitation spectrum of strongly correlated two-leg ladders. Physical review. B.. 96(20). 12 indexed citations
4.
Rincón, Julián, Adriana Moreo, Gonzalo Álvarez, & E. Dagotto. (2014). Exotic Magnetic Order in the Orbital-Selective Mott Regime of Multiorbital Systems. Physical Review Letters. 112(10). 106405–106405. 54 indexed citations
5.
Xavier, J. C., Gonzalo A. Álvarez, Adriana Moreo, & E. Dagotto. (2010). Coexistence of pairing tendencies and ferromagnetism in a doped two-orbital Hubbard model on two-leg ladders. Physical Review B. 81(8). 5 indexed citations
6.
Büsser, C. A., et al.. (2010). Numerical analysis of the spatial range of the Kondo effect. Physical Review B. 81(4). 35 indexed citations
7.
Heidrich‐Meisner, Fabian, Iván González, K. A. Al-Hassanieh, et al.. (2010). Nonequilibrium electronic transport in a one-dimensional Mott insulator. Physical Review B. 82(20). 72 indexed citations
8.
Ye, Feng, Songxue Chi, J. A. Fernandez‐Baca, et al.. (2009). Electronic Self-Organization in the Single-Layer ManganitePr1xCa1+xMnO4. Physical Review Letters. 103(16). 167202–167202. 9 indexed citations
9.
Ward, Thomas Z., Siyuan Liang, Lifeng Yin, et al.. (2008). Reemergent Metal-Insulator Transitions in Manganites Exposed with Spatial Confinement. Physical Review Letters. 100(24). 247204–247204. 94 indexed citations
10.
Heidrich‐Meisner, Fabian, Marcos Rigol, A. Muramatsu, Adrian Feiguin, & E. Dagotto. (2008). Ground-state reference systems for expanding correlated fermions in one dimension. Physical Review A. 78(1). 50 indexed citations
11.
Álvarez, Gonzalo & E. Dagotto. (2008). Fermi Arcs in the Superconducting Clustered State for Underdoped Cuprate Superconductors. Physical Review Letters. 101(17). 177001–177001. 20 indexed citations
12.
Dagotto, E. & Yoshinori Tokura. (2008). Strongly Correlated Electronic Materials: Present and Future. MRS Bulletin. 33(11). 1037–1045. 61 indexed citations
13.
Kancharla, S. S. & E. Dagotto. (2007). Correlated Insulated Phase Suggests Bond Order between Band and Mott Insulators in Two Dimensions. Physical Review Letters. 98(1). 16402–16402. 68 indexed citations
14.
Şen, Cengiz, et al.. (2007). Crossover from impurity to valence band in diluted magnetic semiconductors: Role of Coulomb attraction by acceptors. Physical Review B. 76(8). 11 indexed citations
15.
Yunoki, Seiji, Adriana Moreo, E. Dagotto, et al.. (2007). Electron doping of cuprates via interfaces with manganites. Physical Review B. 76(6). 81 indexed citations
16.
Сергиенко, И. В., Cengiz Şen, & E. Dagotto. (2006). Ferroelectricity in the MagneticE-Phase of Orthorhombic Perovskites. Physical Review Letters. 97(22). 227204–227204. 371 indexed citations
17.
Şen, Cengiz, Gonzalo A. Álvarez, Yukitoshi Motome, et al.. (2006). One- and two-band models for colossal magnetoresistive manganites studied using the truncated polynomial expansion method. Physical Review B. 73(22). 10 indexed citations
18.
Mayr, Matthias, Gonzalo Álvarez, Adriana Moreo, & E. Dagotto. (2006). One-particle spectral function and local density of states in a phenomenological mixed-phase model for high-temperature superconductors. Physical Review B. 73(1). 26 indexed citations
19.
Dagotto, E.. (2005). Complexity in Strongly Correlated Electronic Systems. Science. 309(5732). 257–262. 1562 indexed citations breakdown →
20.
Hotta, Takashi, et al.. (2000). Topological Scenario for Stripe Formation in Manganese Oxides. Physical Review Letters. 84(11). 2477–2480. 62 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.

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