Michael Back

1.2k total citations · 1 hit paper
10 papers, 955 citations indexed

About

Michael Back is a scholar working on Automotive Engineering, Control and Systems Engineering and Fluid Flow and Transfer Processes. According to data from OpenAlex, Michael Back has authored 10 papers receiving a total of 955 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Automotive Engineering, 8 papers in Control and Systems Engineering and 6 papers in Fluid Flow and Transfer Processes. Recurrent topics in Michael Back's work include Electric and Hybrid Vehicle Technologies (8 papers), Advanced Combustion Engine Technologies (6 papers) and Real-time simulation and control systems (4 papers). Michael Back is often cited by papers focused on Electric and Hybrid Vehicle Technologies (8 papers), Advanced Combustion Engine Technologies (6 papers) and Real-time simulation and control systems (4 papers). Michael Back collaborates with scholars based in Germany, Switzerland and United Kingdom. Michael Back's co-authors include Antonio Sciarretta, Lino Guzzella, Volker Krebs and Frank Kirschbaum and has published in prestigious journals such as IEEE Transactions on Control Systems Technology, SAE technical papers on CD-ROM/SAE technical paper series and at - Automatisierungstechnik.

In The Last Decade

Michael Back

10 papers receiving 887 citations

Hit Papers

Optimal Control of Parallel Hybrid Electric Vehicles 2004 2026 2011 2018 2004 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 Back Germany 7 904 640 157 142 55 10 955
Matthew Cuddy United States 6 675 0.7× 464 0.7× 85 0.5× 96 0.7× 74 1.3× 8 737
Sylvain Pagerit United States 14 538 0.6× 383 0.6× 81 0.5× 60 0.4× 34 0.6× 21 597
Matthias Wellers United Kingdom 6 591 0.7× 511 0.8× 47 0.3× 78 0.5× 42 0.8× 11 665
K.E. Bailey United States 7 470 0.5× 262 0.4× 55 0.4× 122 0.9× 52 0.9× 12 508
Andrej Ivančo United States 13 359 0.4× 221 0.3× 52 0.3× 70 0.5× 75 1.4× 45 430
Atriya Biswas Canada 11 447 0.5× 395 0.6× 48 0.3× 88 0.6× 32 0.6× 33 536
Fabio Mazzariol Santiciolli Brazil 13 378 0.4× 246 0.4× 52 0.3× 59 0.4× 93 1.7× 33 455
S.R. Cikanek United States 6 385 0.4× 209 0.3× 46 0.3× 103 0.7× 50 0.9× 8 414
Fuguo Xu Japan 10 336 0.4× 265 0.4× 29 0.2× 61 0.4× 20 0.4× 33 390
Jongryeol Jeong South Korea 13 394 0.4× 305 0.5× 24 0.2× 77 0.5× 25 0.5× 40 436

Countries citing papers authored by Michael Back

Since Specialization
Citations

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

Fields of papers citing papers by Michael Back

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Back

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

All Works

10 of 10 papers shown
1.
Back, Michael, et al.. (2007). Powertrain Modeling Advances. SAE technical papers on CD-ROM/SAE technical paper series. 1. 6 indexed citations
2.
Back, Michael, et al.. (2004). Predictive Powertrain Control for Hybrid Electric Vehicles. IFAC Proceedings Volumes. 37(22). 439–444. 35 indexed citations
3.
Back, Michael, et al.. (2004). Implementing an MPC Algorithm in a Vehicle with a Hybrid Powertrain using Telematics as a Sensor for Powertrain Control. IFAC Proceedings Volumes. 37(22). 433–438. 16 indexed citations
4.
Sciarretta, Antonio, Lino Guzzella, & Michael Back. (2004). A Real-Time Optimal Control Strategy for Parallel Hybrid Vehicles with On-Board Estimation of the Control Parameters. IFAC Proceedings Volumes. 37(22). 489–494. 57 indexed citations
5.
Sciarretta, Antonio, Michael Back, & Lino Guzzella. (2004). Optimal Control of Parallel Hybrid Electric Vehicles. IEEE Transactions on Control Systems Technology. 12(3). 352–363. 695 indexed citations breakdown →
6.
Back, Michael, et al.. (2004). Predictive Powertrain Control for Heavy Duty Trucks. IFAC Proceedings Volumes. 37(22). 105–110. 66 indexed citations
8.
Kirschbaum, Frank, et al.. (2002). DETERMINATION OF THE FUEL-OPTIMAL TRAJECTORY FOR A VEHICLE ALONG A KNOWN ROUTE. IFAC Proceedings Volumes. 35(1). 235–239. 22 indexed citations
9.
Back, Michael, et al.. (2002). PREDICTIVE CONTROL OF DRIVETRAINS. IFAC Proceedings Volumes. 35(1). 241–246. 52 indexed citations
10.
Kirschbaum, Frank, et al.. (2000). Suboptimal Robust Control of Fast Electro-Magnetic Actuators. IFAC Proceedings Volumes. 33(26). 851–855. 2 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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