I. M. Gat

17 total papers · 426 total citations
14 papers, 359 citations indexed

About

I. M. Gat is a scholar working on Condensed Matter Physics, Electronic, Optical and Magnetic Materials and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, I. M. Gat has authored 14 papers receiving a total of 359 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Condensed Matter Physics, 7 papers in Electronic, Optical and Magnetic Materials and 2 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in I. M. Gat's work include Advanced Condensed Matter Physics (12 papers), Physics of Superconductivity and Magnetism (12 papers) and Magnetic and transport properties of perovskites and related materials (5 papers). I. M. Gat is often cited by papers focused on Advanced Condensed Matter Physics (12 papers), Physics of Superconductivity and Magnetism (12 papers) and Magnetic and transport properties of perovskites and related materials (5 papers). I. M. Gat collaborates with scholars based in United States, Japan and Canada. I. M. Gat's co-authors include Y. Fudamoto, M. Larkin, Kenji Kojima, G. M. Luke, Y. J. Uemura, A. T. Savici, T. Ito, M. A. Kastner, Kenneth M. Yamada and R. J. Birgeneau and has published in prestigious journals such as Physical Review Letters, Physical review. B, Condensed matter and Physical Review B.

In The Last Decade

I. M. Gat

14 papers receiving 352 citations

Author Peers

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

Author Last Decade Papers Cites
I. M. Gat 297 211 62 49 46 14 359
Franz Lang 236 0.8× 231 1.1× 74 1.2× 40 0.8× 23 0.5× 25 325
Craig V. Topping 189 0.6× 281 1.3× 133 2.1× 41 0.8× 32 0.7× 20 344
P. Deppe 225 0.8× 305 1.4× 115 1.9× 28 0.6× 123 2.7× 22 400
Francesca R. Foronda 254 0.9× 257 1.2× 94 1.5× 60 1.2× 18 0.4× 12 357
P. C. Canfield 275 0.9× 257 1.2× 111 1.8× 19 0.4× 87 1.9× 21 392
J. Wosnitza 243 0.8× 258 1.2× 105 1.7× 16 0.3× 64 1.4× 30 369
G.A. van der Leeden 243 0.8× 126 0.6× 72 1.2× 48 1.0× 65 1.4× 9 352
Seung-Hun Lee 285 1.0× 237 1.1× 91 1.5× 43 0.9× 96 2.1× 15 393
Xuerong Liu 281 0.9× 212 1.0× 92 1.5× 13 0.3× 105 2.3× 26 356
M. Holder 270 0.9× 235 1.1× 104 1.7× 25 0.5× 152 3.3× 15 382

Countries citing papers authored by I. M. Gat

Since Specialization
Citations

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

Fields of papers citing papers by I. M. Gat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by I. M. Gat. 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 I. M. Gat. The network helps show where I. M. Gat may publish in the future.

Co-authorship network of co-authors of I. M. Gat

This figure shows the co-authorship network connecting the top 25 collaborators of I. M. Gat. A scholar is included among the top collaborators of I. M. Gat 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 I. M. Gat. I. M. Gat 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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