Michael Klachko

9 total papers · 429 total citations
6 papers, 328 citations indexed

About

Michael Klachko is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Artificial Intelligence. According to data from OpenAlex, Michael Klachko has authored 6 papers receiving a total of 328 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Electrical and Electronic Engineering, 2 papers in Cellular and Molecular Neuroscience and 2 papers in Artificial Intelligence. Recurrent topics in Michael Klachko's work include Advanced Memory and Neural Computing (6 papers), Neuroscience and Neural Engineering (2 papers) and Ferroelectric and Negative Capacitance Devices (2 papers). Michael Klachko is often cited by papers focused on Advanced Memory and Neural Computing (6 papers), Neuroscience and Neural Engineering (2 papers) and Ferroelectric and Negative Capacitance Devices (2 papers). Michael Klachko collaborates with scholars based in United States and Japan. Michael Klachko's co-authors include Dmitri B. Strukov, M. Prezioso, Konstantin K. Likharev, F. Merrikh Bayat, Xin Guo, Farnood Merrikh-Bayat, Xinjie Guo, Mohammad Reza Mahmoodi, Mohammad Bavandpour and Tri Nhu and has published in prestigious journals such as IEEE Transactions on Electron Devices, IEEE Transactions on Neural Networks and Learning Systems and IEEE Transactions on Circuits and Systems I Regular Papers.

In The Last Decade

Michael Klachko

6 papers receiving 316 citations

Author Peers

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

Author						Papers	Cites
Michael Klachko	315	89	69	33	27	6	328
Peng Qu	238 0.8×	87 1.0×	81 1.2×	65 2.0×	34 1.3×	18	316
Chung-Cheng Chou	294 0.9×	45 0.5×	68 1.0×	10 0.3×	9 0.3×	8	318
Peter Deaville	323 1.0×	92 1.0×	24 0.3×	14 0.4×	18 0.7×	12	356
Yun-Chen Lo	299 0.9×	78 0.9×	46 0.7×	11 0.3×	19 0.7×	18	345
S. S. Teja Nibhanupudi	271 0.9×	52 0.6×	50 0.7×	18 0.5×	13 0.5×	16	308
Djaafar Chabi	319 1.0×	48 0.5×	117 1.7×	53 1.6×	18 0.7×	16	340
Yulhwa Kim	304 1.0×	95 1.1×	42 0.6×	12 0.4×	15 0.6×	21	348
Rotem Ben-Hur	253 0.8×	37 0.4×	95 1.4×	28 0.8×	27 1.0×	10	294
Gregor Lenz	259 0.8×	119 1.3×	73 1.1×	130 3.9×	9 0.3×	12	343
Tai-Hao Wen	297 0.9×	74 0.8×	48 0.7×	5 0.2×	20 0.7×	11	333

Countries citing papers authored by Michael Klachko

Since Specialization

Citations

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

Fields of papers citing papers by Michael Klachko

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Klachko

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