Malte Landwehr

Which awards has Malte Landwehr won?

Awards, recognitions, certificates and research grants won by Malte Landwehr, together with the awards won by the companies he helped build.

Published , last updated .

Personal awards

Awards and recognitions won by Malte Landwehr.

Certificates

Malte Landwehr holds the following certificates.

  • Project Management, University of California, Irvine.
  • Leadership Skills, HEC Paris.
  • Problem Solving with Excel, PwC.
  • Career Essentials in Generative AI, Microsoft.
  • Fundamentals of Generative AI, Maven.

Research Grants

Malte Landwehr was involved in projects that received the following research grants.

Konrad-Adenauer-Stiftung

Malte Landwehr was part of two research projects funded by the Konrad-Adenauer-Stiftung between 2011 and 2013. Both studied social media monitoring of political communication in Germany, including the analysis of political discourse in the run-up to the 2013 federal election. The 2013 project is listed in the University of Münster research report 2013 to 2014.

DFG

Malte Landwehr was part of a research project funded by the German Research Foundation (Deutsche Forschungsgemeinschaft, DFG) between 2012 and 2014. Topic Dynamics of Public Communication on the Internet (Themendynamik der öffentlichen Kommunikation im Internet) was a network and content analysis of trending topics on Twitter. It is listed in the University of Münster research report 2013 to 2014.

BMBF

Malte Landwehr was part of a federally funded research consortium financed by the Federal Ministry of Education and Research (Bundesministerium für Bildung und Forschung, BMBF) between 2012 and 2015. Within Discourse Analysis in Social Media (Diskursanalyse in Social Media) he worked on the sub-project for data tracking and network analysis. It is listed in the University of Münster research report 2013 to 2014.

Vodafone Institute

Malte Landwehr was part of a research project funded by the Vodafone Institute for Society and Communications (Vodafone Institut für Gesellschaft und Kommunikation) in 2013. It monitored public communication on social media in the run-up to the 2013 federal election. It is listed in the University of Münster research report 2013 to 2014.

IBM

Malte Landwehr received a scholarship from IBM for the social network analysis and social media analytics research at the University of Münster.

Peec AI

Malte Landwehr is the CPO and CMO at Peec AI. While at Peec AI, he won the following awards with Peec AI.

idealo

Malte Landwehr was Head of SEO and later VP SEO at idealo. While at idealo, he won the following awards and recognitions with idealo.

Searchmetrics

Malte Landwehr was VP Product at Searchmetrics. While at Searchmetrics, he won the following awards with Searchmetrics.

Selected Publications

Malte Landwehr has published the following work.

  • Graphzentralität in Autor-Zitate Netzwerken, GRIN Verlag, 2011. On using PageRank and other centrality measures to identify the most important scientists in a citation graph. Landwehr, M. (2011). Graphzentralität in Autor-Zitate Netzwerken: Graphzentralitäten als Alternativen zu h-Index und PageRank bei der Bewertung von Wissenschaftlern. Munich: GRIN Verlag, 41 pp. ISBN 978-3-656-00775-3, EAN 9783656007753.
  • Die „Dreiecksbeziehung“ zwischen Journalismus, Sprechern und Bürgern, with Sanja Kapidzic, Christoph Neuberger and Stefan Stieglitz. The network and content analysis of the NSA affair on Twitter that won Best Paper by a Young Scientist. Kapidzic, S., Landwehr, M., Neuberger, C., & Stieglitz, S. (2014). Die „Dreiecksbeziehung“ zwischen Journalismus, Sprechern und Bürgern: Netzwerk- und Inhaltsanalyse der NSA-Affäre auf Twitter. Paper presented at the Annual Conference of the Deutsche Gesellschaft für Publizistik- und Kommunikationswissenschaft (DGPuK), Passau.
  • Prompt Tracking Works, But Not as a One-Prompt Measurement System, SSRN working paper, 2026. On prompt wording and brand visibility in AI answer engines. Ehrlinspiel, J., Landwehr, M., & Rudzki, T. (2026). Prompt Tracking Works, But Not as a One-Prompt Measurement System: Prompt Wording and Brand Visibility in AI Answer Engines. SSRN Working Paper No. 6914539.
  • Cited-Listicle Rank-Tier Exposure, Author Type, and LLM Brand Visibility, SSRN working paper, 2026. A two-part model of selection and prominence in generative engine responses. Ehrlinspiel, J., Rudzki, T., & Landwehr, M. (2026). Cited-Listicle Rank-Tier Exposure, Author Type, and LLM Brand Visibility: A Two-Part Model of Selection and Prominence in Generative Engine Responses. SSRN Working Paper No. 6753841.