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Peter Auer 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 Peter Auer 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+

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

Peter Auer 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 Peter Auer 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+

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

Overview

Peter Auer is affiliated with the University of Leoben in Austria and has a research profile spanning both engineering and humanities disciplines. Their academic contributions cover a broad range of topics within mechanical engineering as well as linguistic and cognitive studies.

The main fields of study encompass:

  • Engineering (54 publications)
  • Arts and Humanities (22 publications)

Within these fields, the subfields of study include:

  • Mechanical Engineering (28)
  • Language and Linguistics (21)
  • Linguistics and Language (15)
  • Mechanics of Materials (11)
  • Experimental and Cognitive Psychology (8)

The primary research topics are diverse and combine elements of linguistics and engineering techniques:

  • Linguistic Variation and Morphology (20 publications)
  • Linguistic research and analysis (14)
  • Advanced Welding Techniques Analysis (14)
  • Language, Discourse, Communication Strategies (12)
  • Metal Forming Simulation Techniques (12)
  • Multilingual Education and Policy (10)
  • Linguistics, Language Diversity, and Identity (10)

Recent significant publications include:

  • "Turn-allocation and gaze: A multimodal revision of the 'current-speaker-selects-next' rule of the turn-taking system of conversation analysis" (2021, Discourse Studies)
  • "Gaze selects the next speaker in answers to questions pronominally addressed to more than one co-participant" (2021, Interactional Linguistics)

Although not co-authored by Peter Auer, related recent publications where they appear as a frequent collaborator include:

  • "Detecting Anomalous Multivariate Time-Series via Hybrid Machine Learning" (2023, IEEE Transactions on Instrumentation and Measurement)
  • "Thermal cycling effects on the local microstructure and mechanical properties in wire-based directed energy deposition of nickel-based superalloy" (2024, Additive Manufacturing)
  • "Load-bearing capacity of hybrid riv-bonded aluminum-magnesium joints at quasi-static and cyclic loadings" (2023, Journal of Manufacturing Processes)

Frequent co-authors of Peter Auer include:

  • Josef Domitner (19 joint works)
  • Zahra Silvayeh (12 joint works)
  • Christof Sommitsch (10 joint works)
  • Jennifer Stippich (6 joint works)
  • Jožef Predan (4 joint works)

Peter Auer publishes often in the following venues:

  • Journal of Materials Engineering and Performance (3 publications)
  • Sociolinguistica - International Yearbook of European Sociolinguistics / Internationales Jahrbuch für europäische Soziolinguistik (3)
  • Procedia Structural Integrity (3)
  • Journal of Manufacturing Processes (2)
  • Central European Journal of Operations Research (2)

Best Publications

  • Finite-time Analysis of the Multiarmed Bandit Problem

    Peter Auer;Nicolò Cesa-Bianchi;Paul Fischer

  • The Nonstochastic Multiarmed Bandit Problem

    Peter Auer;Nicolò Cesa-Bianchi;Yoav Freund;Robert E. Schapire

  • Using confidence bounds for exploitation-exploration trade-offs

    Peter Auer

  • Gambling in a rigged casino: The adversarial multi-armed bandit problem

    P. Auer;N. Cesa-Bianchi;Y. Freund;R. Schapire

  • Near-optimal Regret Bounds for Reinforcement Learning

    Thomas Jaksch;Ronald Ortner;Peter Auer

  • Generic object recognition with boosting

    A. Opelt;A. Pinz;M. Fussenegger;P. Auer

  • Weak Hypotheses and Boosting for Generic Object Detection and Recognition

    Andreas Opelt;Michael Fussenegger;Axel Pinz;Peter Auer

  • UCB revisited: Improved regret bounds for the stochastic multi-armed bandit problem

    Peter Auer;Ronald Ortner

  • PAC Subset Selection in Stochastic Multi-armed Bandits

    Shivaram Kalyanakrishnan;Ambuj Tewari;Peter Auer;Peter Stone

  • Adaptive and self-confident on-line learning algorithms

    Peter Auer;Nicolò Cesa-Bianchi;Claudio Gentile

  • Degree of approximation results for feedforward networks approximating unknown mappings and their derivatives

    Kurt Hornik;Maxwell Stinchcombe;Halbert White;Peter Auer

  • Improved rates for the stochastic continuum-armed bandit problem

    Peter Auer;Ronald Ortner;Csaba Szepesvári

  • The non-stochastic multi-armed bandit problem

    Peter Auer;Yoav Freund;Robert E. Schapire

  • Logarithmic Online Regret Bounds for Undiscounted Reinforcement Learning

    Peter Auer;Ronald Ortner

  • A learning rule for very simple universal approximators consisting of a single layer of perceptrons

    Peter Auer;Harald Burgsteiner;Wolfgang Maass

  • Exponentially many local minima for single neurons

    Peter Auer;Mark Herbster;Manfred K Warmuth

  • The Perceptron algorithm versus Winnow: linear versus logarithmic mistake bounds when few input variables are relevant

    J. Kivinen;M. K. Warmuth;P. Auer

  • Near-optimal Regret Bounds for Reinforcement Learning

    Peter Auer;Thomas Jaksch;Ronald Ortner

  • Theory and applications of agnostic PAC-learning with small decision trees

    Peter Auer;Robert C. Holte;Wolfgang Maass

  • The InfoSky visual explorer: exploiting hierarchical structure and document similarities

    Keith Andrews;Wolfgang Kienreich;Vedran Sabol;Jutta Becker

Frequent Co-Authors

Rémi Munos
Rémi Munos French Institute for Research in Computer Science and Automation - INRIA
Kai Zeng
Kai Zeng George Mason University
Giorgio Metta
Giorgio Metta Italian Institute of Technology
Aude Billard
Aude Billard École Polytechnique Fédérale de Lausanne
Frank Melcher
Frank Melcher University of Leoben
Halbert White
Halbert White University of California, San Diego
Peter Stone
Peter Stone The University of Texas at Austin
Ambuj Tewari
Ambuj Tewari University of Michigan–Ann Arbor

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