World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
37
Citations
6248
World Ranking
10696
National Ranking
537

Oliver Hinz publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Oliver Hinz sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 178 publications — 38th percentile

38% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Oliver Hinz D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Oliver Hinz sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 37 D-Index — 27th percentile

27% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Oliver Hinz is affiliated with Goethe University Frankfurt in Germany and has an extensive body of work within the fields of Computer Science and Social Sciences. Their research focuses on several subfields including Artificial Intelligence, Sociology and Political Science, Marketing, Strategy and Management, and Management Science and Operations Research.

The primary topics addressed by Hinz's research include Explainable Artificial Intelligence (XAI), Digital Platforms and Economics, Ethics and Social Impacts of AI, Consumer Market Behavior and Pricing, Digital Marketing and Social Media, Technology Adoption and User Behaviour, as well as Privacy, Security, and Data Protection.

Hinz frequently collaborates with several coauthors, including:

  • Wil M. P. van der Aalst
  • Kevin Bauer
  • Christof Weinhardt
  • Cristina Mihale-Wilson
  • Moritz von Zahn

Oliver Hinz's recent publications include:

  • "Welcome to the Era of ChatGPT et al." (2023), published in Business & Information Systems Engineering
  • "Applications of Explainable Artificial Intelligence in Finance-a systematic review of Finance, Information Systems, and Computer Science literature" (2023), published in Management Review Quarterly
  • "Expl(AI)ned: The Impact of Explainable Artificial Intelligence on Users' Information Processing" (2023), published in Information Systems Research
  • "Machine learning sentiment analysis, COVID-19 news and stock market reactions" (2023), published in Research in International Business and Finance
  • "More Than a Bot? The Impact of Disclosing Human Involvement on Customer Interactions with Hybrid Service Agents" (2023), published in Information Systems Research

Hinz's work appears predominantly in a set of established publication venues including:

  • Business & Information Systems Engineering
  • SSRN Electronic Journal
  • Electronic Markets
  • Information Systems Research
  • HMD Praxis der Wirtschaftsinformatik

Best Publications

  • Seeding Strategies for Viral Marketing: An Empirical Comparison

    Oliver Hinz;Bernd Skiera;Christian Barrot;Jan U. Becker

  • AI-Based Digital Assistants – Opportunities, Threats, and Research Perspectives

    Alexander Maedche;Christine Legner;Alexander Benlian;Benedikt Berger

  • Welcome to the Era of ChatGPT et al.

    Unknown

  • Mitigating the intrusive effects of smart home assistants by using anthropomorphic design features: A multimethod investigation

    Alexander Benlian;Johannes Klumpe;Oliver Hinz

  • The Impact of Information Diffusion on Bidding Behavior in Secret Reserve Price Auctions

    Oliver Hinz;Martin Spann

  • Using Twitter to Predict the Stock Market

    Michael Nofer;Oliver Hinz

  • Anthropomorphic Information Systems

    Nicolas Pfeuffer;Alexander Benlian;Henner Gimpel;Oliver Hinz

  • Drivers of the Long Tail Phenomenon: An Empirical Analysis

    Oliver Hinz;Jochen Eckert;Bernd Skiera

  • Marketing Automation

    Irina Heimbach;Daniel S. Kostyra;Oliver Hinz

  • A Decision Support System for Stock Investment Recommendations Using Collective Wisdom

    Jörg Gottschlich;Oliver Hinz

  • The health information seeking and usage behavior intention of Chinese consumers through mobile phones

    Zhaohua Deng;Shan Liu;Oliver Hinz

  • Machine Learning Sentiment Analysis, Covid-19 News and Stock Market Reactions

    Michele Costola;Michael Nofer;Oliver Hinz;Loriana Pelizzon

  • The Impact of Search and Recommendation Systems on Sales in Electronic Commerce

    Oliver Hinz;Jochen Eckert

  • Explaining the Adoption of Grid Computing: An Integrated Institutional Theory and Organizational Capability Approach

    Christian Messerschmidt;Oliver Hinz

  • The influence of data theft on the share prices and systematic risk of consumer electronics companies

    Oliver Hinz;Michael Nofer;Dirk Schiereck;Julian Trillig

  • An analysis of the importance of the long tail in search engine marketing

    Bernd Skiera;Jochen Eckert;Oliver Hinz

  • Willingness-to-pay estimation with choice-based conjoint analysis: Addressing extreme response behavior with individually adapted designs

    Sonja Gensler;Oliver Hinz;Bernd Skiera;Sven Theysohn

  • Designing a feature selection method based on explainable artificial intelligence

    Unknown

  • The Economic Impact of Privacy Violations and Security Breaches

    Michael Nofer;Oliver Hinz;Jan Muntermann;Heiko Roßnagel

  • AI-Based Digital Assistants

    Alexander Maedche;Christine Legner;Alexander Benlian;Benedikt Berger

  • Using Twitter to Predict the Stock Market: Where is the Mood Effect?

    Michael Nofer;Oliver Hinz

  • Price Discrimination in E-Commerce? An Examination of Dynamic Pricing in Name-Your-Own-Price Markets Management Information Systems Quarterly (MISQ)

    Oliver Hinz;Il-Horn Hann;Martin Spann

  • The Health Information Seeking and Usage Behavior Intention of Chinese Consumers through Mobile Phone

    Zhaohua Deng;Shan Liu;Oliver Hinz

  • Drivers of the Long Tail Phenomenon: An Empirical Analysis, Journal of Management Information Systems (JMIS), 27 (4), 43-69

    Oliver Hinz;Jochen Eckert;Bernd Skiera

Frequent Co-Authors

Bernd Skiera
Bernd Skiera Goethe University Frankfurt
Martin Spann
Martin Spann Ludwig-Maximilians-Universität München
Alexander Benlian
Alexander Benlian Technical University of Darmstadt
Christof Weinhardt
Christof Weinhardt Karlsruhe Institute of Technology
Wil M. P. van der Aalst
Wil M. P. van der Aalst RWTH Aachen University
Anja Klein
Anja Klein Technical University of Darmstadt
Max Mühlhäuser
Max Mühlhäuser Technical University of Darmstadt
Alexander Maedche
Alexander Maedche Karlsruhe Institute of Technology
Elisabeth André
Elisabeth André University of Augsburg
Bernd Freisleben
Bernd Freisleben Philipp University of Marburg

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