Michael Zeifman

2.0k total citations · 1 hit paper
49 papers, 1.6k citations indexed

About

Michael Zeifman is a scholar working on Electrical and Electronic Engineering, Mechanics of Materials and Atmospheric Science. According to data from OpenAlex, Michael Zeifman has authored 49 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Electrical and Electronic Engineering, 12 papers in Mechanics of Materials and 10 papers in Atmospheric Science. Recurrent topics in Michael Zeifman's work include Smart Grid Energy Management (13 papers), nanoparticles nucleation surface interactions (10 papers) and Gas Dynamics and Kinetic Theory (9 papers). Michael Zeifman is often cited by papers focused on Smart Grid Energy Management (13 papers), nanoparticles nucleation surface interactions (10 papers) and Gas Dynamics and Kinetic Theory (9 papers). Michael Zeifman collaborates with scholars based in United States, Israel and Italy. Michael Zeifman's co-authors include Kurt Roth, Barbara J. Garrison, Leonid V. Zhigilei, Yaroslava G. Yingling, Elodie Leveugle, Dov Ingman, Deborah A. Levin, Jiaqiang Zhong, Sergey Gimelshein and A. Perrone and has published in prestigious journals such as Chemical Reviews, The Journal of Chemical Physics and Journal of Applied Physics.

In The Last Decade

Michael Zeifman

48 papers receiving 1.5k citations

Hit Papers

Nonintrusive appliance load monitoring: Review and outlook 2011 2026 2016 2021 2011 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Zeifman United States 15 903 359 282 252 233 49 1.6k
Jean‐Christophe Batsale France 22 224 0.2× 148 0.4× 124 0.4× 211 0.8× 46 0.2× 141 1.7k
Keith A. Woodbury United States 22 147 0.2× 93 0.3× 44 0.2× 300 1.2× 185 0.8× 73 1.5k
Antonio Campo United States 32 198 0.2× 159 0.4× 81 0.3× 1.5k 5.9× 338 1.5× 278 4.0k
Ming Zhang China 29 467 0.5× 52 0.1× 687 2.4× 309 1.2× 42 0.2× 190 2.7k
I. Catton United States 36 173 0.2× 60 0.2× 94 0.3× 2.4k 9.4× 368 1.6× 257 4.4k
Xiaolong Chen China 28 381 0.4× 38 0.1× 96 0.3× 56 0.2× 49 0.2× 175 2.6k
J. A. Snyman South Africa 27 103 0.1× 34 0.1× 518 1.8× 189 0.8× 24 0.1× 82 2.0k
О. М. Алифанов Russia 16 82 0.1× 38 0.1× 48 0.2× 902 3.6× 36 0.2× 110 2.4k
Caihua Chen United States 23 970 1.1× 79 0.2× 66 0.2× 488 1.9× 26 0.1× 81 2.3k
A. D. Solomon United States 14 49 0.1× 74 0.2× 25 0.1× 281 1.1× 210 0.9× 45 1.2k

Countries citing papers authored by Michael Zeifman

Since Specialization
Citations

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

Fields of papers citing papers by Michael Zeifman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Zeifman

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Zeifman. A scholar is included among the top collaborators of Michael Zeifman 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 Zeifman. Michael Zeifman 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.
2.
Zeifman, Michael, et al.. (2018). The SunDial Framework: Enabling High Penetration Solar through the Integration of Energy Storage, Demand Management, and Forecasting. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 1436–1439. 3 indexed citations
3.
Zeifman, Michael, et al.. (2017). Estimation of physical buildings parameters using interval thermostat data. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 1–4. 4 indexed citations
4.
Abreu, Joana, Natasha A. Hardy, Francisco C. Pereira, & Michael Zeifman. (2015). Modeling Human Reliability in the Power Grid Environment: an Application of the SPAR-H Methodology. Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 59(1). 662–666. 8 indexed citations
5.
Zeifman, Michael. (2012). Disaggregation of home energy display data using probabilistic approach. IEEE Transactions on Consumer Electronics. 58(1). 23–31. 104 indexed citations
6.
Zeifman, Michael & Kurt Roth. (2012). Disaggregation of home energy display data using probabilistic approach. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 98. 630–631. 87 indexed citations
7.
Zeifman, Michael & Kurt Roth. (2011). Nonintrusive appliance load monitoring: Review and outlook. 239–240. 50 indexed citations
8.
Zeifman, Michael & Kurt Roth. (2011). Nonintrusive appliance load monitoring: Review and outlook. IEEE Transactions on Consumer Electronics. 57(1). 76–84. 609 indexed citations breakdown →
9.
Cultrera, L., Michael Zeifman, & A. Perrone. (2007). Strong emission of particulates towards the incident beam direction in pulsed-laser ablation experiments. Applied Surface Science. 253(15). 6322–6325. 13 indexed citations
10.
Титов, Е. В., Michael Zeifman, & Deborah A. Levin. (2005). Examination of New DSMC Methods for Efficient Modeling of MEMS Device Flows. 3 indexed citations
11.
Zhong, Jiaqiang, Michael Zeifman, Sergey L. Gratiy, & Deborah A. Levin. (2005). Development of a Kinetic Nucleation Model for Simulation of a Free-expanding Argon Condensation Flow in DSMC. 1 indexed citations
12.
Титов, Е. В., et al.. (2005). Application of the kinetic and continuum Techniques to the multi-scale flows in MEMS Devices. 43rd AIAA Aerospace Sciences Meeting and Exhibit. 20 indexed citations
13.
Zeifman, Michael. (2005). Applicability of the Homogeneous Nucleation Theory to the Condensation in Free Gas Expansions. AIP conference proceedings. 762. 509–516. 2 indexed citations
14.
Zeifman, Michael & Dov Ingman. (2005). Modelling of unexpected shift in SPC. Journal of Applied Statistics. 32(4). 375–386. 2 indexed citations
15.
Zhong, Jiaqiang, Sergey Gimelshein, Michael Zeifman, & Deborah A. Levin. (2004). Modeling of homogeneous condensation in supersonic plumes with the DSMC method. 42nd AIAA Aerospace Sciences Meeting and Exhibit. 6 indexed citations
16.
Zeifman, Michael & Dov Ingman. (2003). Continuous Markovian Model for Unexpected Shift in SPC. Methodology And Computing In Applied Probability. 5(4). 455–466. 4 indexed citations
17.
Zeifman, Michael & Dov Ingman. (2003). Statistical Aspects of Lifetime in the Presence of UV Radiation. Journal of Electronic Packaging. 125(1). 1–3. 4 indexed citations
19.
Zeifman, Michael, Barbara J. Garrison, & Leonid V. Zhigilei. (2002). Combined molecular dynamics–direct simulation Monte Carlo computational study of laser ablation plume evolution. Journal of Applied Physics. 92(4). 2181–2193. 51 indexed citations
20.
Zeifman, Michael, Barbara J. Garrison, & Leonid V. Zhigilei. (2002). Direct Simulation Monte Carlo Calculation: Strategies for Using Complex Initial Conditions. MRS Proceedings. 731. 1 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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