World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
41
Citations
6600
World Ranking
6990
National Ranking
1905

Jason B. Siegel publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Jason B. Siegel sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 180 publications — 40th percentile

40% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Jason B. Siegel D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Jason B. Siegel sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 41 D-Index — 31st percentile

31% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

Overview

Jason B. Siegel is affiliated with the University of Michigan-Ann Arbor in the United States. Their research primarily focuses on engineering, with a specialization in electrical and electronic engineering, automotive engineering, control and systems engineering, mechanical engineering, and fluid flow and transfer processes.

The scientist's work covers a range of topics, prominently in advanced battery technologies and materials, as well as electric vehicle and fuel cell technologies. Their main areas of study include:

  • Advanced Battery Technologies Research
  • Advancements in Battery Materials
  • Advanced Battery Materials and Technologies
  • Electric Vehicles and Infrastructure
  • Fuel Cells and Related Materials
  • Electric and Hybrid Vehicle Technologies
  • Advanced Combustion Engine Technologies

Jason B. Siegel has contributed to numerous publications, with frequent appearances in several venues such as:

  • ECS Meeting Abstracts
  • arXiv (Cornell University)
  • IFAC-PapersOnLine
  • Journal of The Electrochemical Society
  • eTransportation

Some of their recent papers include:

  • The challenge and opportunity of battery lifetime prediction from field data (2021, Joule)
  • Detection of Li-ion battery failure and venting with Carbon Dioxide sensors (2020, eTransportation)
  • Reversible and Irreversible Expansion of Lithium-Ion Batteries Under a Wide Range of Stress Factors (2021, Journal of The Electrochemical Society)
  • Differential Expansion and Voltage Model for Li-ion Batteries at Practical Charging Rates (2020, Journal of The Electrochemical Society)
  • Electrode State of Health Estimation for Lithium Ion Batteries Considering Half-cell Potential Change Due to Aging (2020, Journal of The Electrochemical Society)

The scientist collaborates frequently with several coauthors, including:

  • Anna G. Stefanopoulou
  • Sravan Pannala
  • Peyman Mohtat
  • Hamidreza Movahedi
  • Vivian Tran

Best Publications

  • A lumped-parameter electro-thermal model for cylindrical batteries

    Xinfan Lin;Hector E. Perez;Shankar Mohan;Jason B. Siegel

  • Online Parameterization of Lumped Thermal Dynamics in Cylindrical Lithium Ion Batteries for Core Temperature Estimation and Health Monitoring

    Xinfan Lin;Hector E. Perez;Jason B. Siegel;Anna G. Stefanopoulou

  • The challenge and opportunity of battery lifetime prediction from field data

    Valentin Sulzer;Peyman Mohtat;Antti Aitio;Suhak Lee

  • Rate dependence of swelling in lithium-ion cells

    Ki-Yong Oh;Jason B. Siegel;Lynn Secondo;Sun Ung Kim

  • Measurement of Liquid Water Accumulation in a PEMFC with Dead-Ended Anode

    Jason B. Siegel;Denise A. McKay;Anna G. Stefanopoulou;Daniel S. Hussey

  • Detection of Li-ion battery failure and venting with Carbon Dioxide sensors

    Ting Cai;Puneet Valecha;Vivian Tran;Brian Engle

  • Optimization of purge cycle for dead-ended anode fuel cell operation

    Jixin Chen;Jason B. Siegel;Anna G. Stefanopoulou;James R. Waldecker

  • The Estimation of Temperature Distribution in Cylindrical Battery Cells Under Unknown Cooling Conditions

    Youngki Kim;Shankar Mohan;Jason B. Siegel;Anna G. Stefanopoulou

  • Neutron Imaging of Lithium Concentration in LFP Pouch Cell Battery

    Jason B. Siegel;Xinfan Lin;Anna G. Stefanopoulou;Daniel S. Hussey

  • Expansion of Lithium Ion Pouch Cell Batteries: Observations from Neutron Imaging

    Jason B. Siegel;Anna G. Stefanopoulou;Patrick Hagans;Yi Ding

  • Supercapacitor Electrical and Thermal Modeling, Identification, and Validation for a Wide Range of Temperature and Power Applications

    Yasha Parvini;Jason B. Siegel;Anna G. Stefanopoulou;Ardalan Vahidi

  • Parameterization and Observability Analysis of Scalable Battery Clusters for Onboard Thermal Management

    Xinfan Lin;Hector E Perez;Jason B Siegel;Anna G Stefanopoulou

  • Carbon Corrosion in PEM Fuel Cell Dead-Ended Anode Operations

    Jixin Chen;Jason B. Siegel;Toyoaki Matsuura;Anna G. Stefanopoulou

  • Battery Capacity Fading Estimation Using a Force-Based Incremental Capacity Analysis

    Nassim A. Samad;Youngki Kim;Jason B. Siegel;Anna G. Stefanopoulou

  • Degradation phenomena in PEM fuel cell with dead-ended anode

    Toyoaki Matsuura;Jixin Chen;Jason B. Siegel;Anna G. Stefanopoulou

  • A Phenomenological Model of Bulk Force in a Li-Ion Battery Pack and Its Application to State of Charge Estimation

    Shankar Mohan;Youngki Kim;Jason B. Siegel;Nassim A. Samad

  • Parameterization and prediction of temporal fuel cell voltage behavior during flooding and drying conditions

    Denise A. McKay;Jason B. Siegel;William Ott;Anna G. Stefanopoulou

  • Parameterization and Validation of an Integrated Electro-Thermal Cylindrical LFP Battery Model

    Hector E. Perez;Jason B. Siegel;Xinfan Lin;Anna G. Stefanopoulou

  • Nitrogen Front Evolution in Purged Polymer Electrolyte Membrane Fuel Cell with Dead-Ended Anode

    Jason B. Siegel;Stanislav V. Bohac;Anna G. Stefanopoulou;Serhat Yesilyurt

  • Phenomenological force and swelling models for rechargeable lithium-ion battery cells

    Ki Yong Oh;Bogdan I. Epureanu;Jason B. Siegel;Anna G. Stefanopoulou

  • Co-optimization of speed trajectory and power management for a fuel-cell/battery electric vehicle

    Youngki Kim;Miriam Figueroa-Santos;Niket Prakash;Stanley Baek

  • Internal short circuit trigger method for lithium-ion battery based on shape memory alloy

    Mingxuan Zhang;Mingxuan Zhang;Jiuyu Du;Lishuo Liu;Anna Stefanopoulou

Frequent Co-Authors

Anna G. Stefanopoulou
Anna G. Stefanopoulou University of Michigan–Ann Arbor
Matthew P. Castanier
Matthew P. Castanier United States Army Research Laboratory
Bogdan I. Epureanu
Bogdan I. Epureanu University of Michigan–Ann Arbor
Levi T. Thompson
Levi T. Thompson University of Delaware
Dawn M. Tilbury
Dawn M. Tilbury University of Michigan–Ann Arbor
Languang Lu
Languang Lu Tsinghua University
Minggao Ouyang
Minggao Ouyang Tsinghua University
Huei Peng
Huei Peng University of Michigan–Ann Arbor
A. Galip Ulsoy
A. Galip Ulsoy University of Michigan–Ann Arbor
Xiangming He
Xiangming He Tsinghua University

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