Martin Bichler

5.4k total citations · 1 hit paper
170 papers, 3.2k citations indexed

About

Martin Bichler is a scholar working on Management Science and Operations Research, Marketing and Management Information Systems. According to data from OpenAlex, Martin Bichler has authored 170 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 91 papers in Management Science and Operations Research, 54 papers in Marketing and 45 papers in Management Information Systems. Recurrent topics in Martin Bichler's work include Auction Theory and Applications (88 papers), Consumer Market Behavior and Pricing (54 papers) and Supply Chain and Inventory Management (30 papers). Martin Bichler is often cited by papers focused on Auction Theory and Applications (88 papers), Consumer Market Behavior and Pricing (54 papers) and Supply Chain and Inventory Management (30 papers). Martin Bichler collaborates with scholars based in Germany, United States and Austria. Martin Bichler's co-authors include Armin Heinzl, Wil M. P. van der Aalst, Jayant Kalagnanam, Pasha Shabalin, Arie Segev, Thomas Setzer, Gregory E. Kersten, Stefan Strecker, Adrian Paschke and Wolfgang Ketter and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Applied Physics and Management Science.

In The Last Decade

Martin Bichler

154 papers receiving 3.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Robotic Process Automation

2018 274 citations Martin Bichler et al. profile →

Peers

Martin Bichler

MSOR

MIS

IS

MARKE

CNC

Andrew B. Whinston United States

Huaiqing Wang Hong Kong

Ramayya Krishnan United States

Marco Iansiti United States

Yong Yuan China

Jason D. Hartline United States

Subhajyoti Bandyopadhyay United States

Prabuddha De United States

Ohbyung Kwon South Korea

Andrew B. Whinston United States

Martin Bichler

1.2k ×0.9

MSOR

899 ×1.0

MIS

514 ×0.6

IS

999 ×1.4

MARKE

399 ×0.6

CNC

Citations per year, relative to Martin Bichler Martin Bichler (= 1×) peers Andrew B. Whinston

Countries citing papers authored by Martin Bichler

Since Specialization

Citations

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

Fields of papers citing papers by Martin Bichler

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Bichler

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

All Works

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20 of 20 papers shown

1.

Bichler, Martin, et al.. (2025). Challenges in finding stable price zones in European electricity markets: Aiming to square the circle?. Applied Energy. 382. 125315–125315. 2 indexed citations

2.

Gopal, Ram D., Kai Riemer, Suprateek Sarker, et al.. (2025). Inventing with Machines: Generative AI and the Evolving Landscape of IS Research. Information Systems Research. 36(4). 1949–1967.

3.

Minner, Stefan, et al.. (2025). Pricing policy and queue-length disclosure in on-demand service platforms. Transportation Research Part E Logistics and Transportation Review. 204. 104422–104422.

4.

Bichler, Martin, et al.. (2023). Computing Bayes–Nash Equilibrium Strategies in Auction Games via Simultaneous Online Dual Averaging. Operations Research. 73(2). 1102–1127. 3 indexed citations

5.

Bichler, Martin, et al.. (2023). Learning Equilibria in Asymmetric Auction Games. INFORMS journal on computing. 35(3). 523–542. 3 indexed citations

6.

Bichler, Martin, et al.. (2023). Computing Bayes Nash Equilibrium Strategies in Auction Games via Simultaneous Online Dual Averaging. mediaTUM (Technical University of Munich). 294–294. 1 indexed citations

7.

Bichler, Martin, et al.. (2022). Learning equilibrium in bilateral bargaining games. European Journal of Operational Research. 311(2). 660–678.

8.

Bapna, Ravi, et al.. (2022). Introduction to the Information Systems Research Special Section on Market Design and Analytics. Information Systems Research. 33(4). 1126–1129. 1 indexed citations

9.

Baldwin, Elizabeth, et al.. (2022). Strong substitutes: structural properties, and a new algorithm for competitive equilibrium prices. Mathematical Programming. 203(1-2). 611–643. 2 indexed citations

10.

Bichler, Martin, et al.. (2016). A Principal-Agent Model of Bidding Firms in Multi-Unit Auctions.. International Conference on Information Systems. 1 indexed citations

11.

Bichler, Martin. (2014). Simulation of Multidimensional Procurement Auctions. mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich).

12.

Bichler, Martin. (2014). Brokerage in E-Commerce: State-of-the-Art and Open Issues. mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich).

13.

Kauffman, Robert J., Martin Bichler, Hoong Chuin Lau, Yinping Yang, & Christopher C. Yang. (2012). Proceedings of the 14th Annual International Conference on Electronic Commerce. 2 indexed citations

14.

Bichler, Martin, Alok Gupta, & Wolfgang Ketter. (2010). Designing smart markets. Data Archiving and Networked Services (DANS). 7 indexed citations

15.

Koblmüller, Gregor, Simon Hertenberger, Kristijonas Vizbaras, et al.. (2010). Self-induced growth of vertical free-standing InAs nanowires on Si(111) by molecular beam epitaxy. Nanotechnology. 21(36). 365602–365602. 103 indexed citations

16.

Shabalin, Pasha, et al.. (2006). An analysis of linear prices in iterative combinatorial auctions. mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich). 2 indexed citations

17.

Bichler, Martin, et al.. (2006). Capacity Planning for Virtualized Servers. SSRN Electronic Journal. 34 indexed citations

18.

Bichler, Martin, et al.. (2005). Information Feedback in Iterative Combinatorial Auctions. Journal of the Association for Information Systems. 329–348. 1 indexed citations

19.

Bichler, Martin, et al.. (2000). Simulation of multidimensional procurement auction. 393–397. 1 indexed citations

20.

Bichler, Martin, et al.. (1999). Multi-Attribute Auctions for Electronic Procurement. mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich). 43 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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