Martin Lackner

1.2k total citations
40 papers, 462 citations indexed

About

Martin Lackner is a scholar working on Economics and Econometrics, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Martin Lackner has authored 40 papers receiving a total of 462 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Economics and Econometrics, 19 papers in Artificial Intelligence and 17 papers in Management Science and Operations Research. Recurrent topics in Martin Lackner's work include Game Theory and Voting Systems (33 papers), Auction Theory and Applications (14 papers) and Logic, Reasoning, and Knowledge (8 papers). Martin Lackner is often cited by papers focused on Game Theory and Voting Systems (33 papers), Auction Theory and Applications (14 papers) and Logic, Reasoning, and Knowledge (8 papers). Martin Lackner collaborates with scholars based in Austria, United Kingdom and Germany. Martin Lackner's co-authors include Piotr Skowron, Edith Elkind, Dominik Peters, Piotr Faliszewski, Luis Sánchez Fernández, Pablo Basanta Val, Norberto Fernández, Gábor Erdélyi, Jesús Arias Fisteus and Robert Bredereck and has published in prestigious journals such as Artificial Intelligence, Mathematical Programming and Journal of Artificial Intelligence Research.

In The Last Decade

Martin Lackner

40 papers receiving 453 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Martin Lackner Austria 13 373 205 147 137 86 40 462
Markus Brill Germany 14 505 1.4× 320 1.6× 149 1.0× 193 1.4× 100 1.2× 56 603
Rupert Freeman United States 11 293 0.8× 221 1.1× 69 0.5× 101 0.7× 43 0.5× 35 399
Dominik Peters United Kingdom 12 282 0.8× 201 1.0× 91 0.6× 60 0.4× 42 0.5× 41 331
Nimrod Talmon Israel 16 365 1.0× 235 1.1× 179 1.2× 133 1.0× 55 0.6× 66 526
Robert Bredereck Germany 14 313 0.8× 219 1.1× 207 1.4× 140 1.0× 30 0.3× 57 497
Vincent Merlin France 11 312 0.8× 204 1.0× 57 0.4× 87 0.6× 119 1.4× 46 444
J.J. López Spain 10 295 0.8× 245 1.2× 66 0.4× 41 0.3× 52 0.6× 17 356
Piotr Skowron Poland 18 773 2.1× 455 2.2× 331 2.3× 220 1.6× 139 1.6× 66 929
Gabriella Pigozzi Luxembourg 10 167 0.4× 141 0.7× 55 0.4× 325 2.4× 26 0.3× 41 464
M. Remzi Sanver Türkiye 15 589 1.6× 440 2.1× 114 0.8× 188 1.4× 123 1.4× 61 695

Countries citing papers authored by Martin Lackner

Since Specialization
Citations

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

Fields of papers citing papers by Martin Lackner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Lackner

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

All Works

20 of 20 papers shown
1.
Brill, Markus, et al.. (2023). Proportionality in Approval-Based Participatory Budgeting. Proceedings of the AAAI Conference on Artificial Intelligence. 37(5). 5524–5531. 8 indexed citations
2.
Lackner, Martin, et al.. (2023). Proportional Decisions in Perpetual Voting. Proceedings of the AAAI Conference on Artificial Intelligence. 37(5). 5722–5729. 3 indexed citations
3.
Lackner, Martin, et al.. (2023). abcvoting: A Python package for approval-basedmulti-winner voting rules. The Journal of Open Source Software. 8(81). 4880–4880. 2 indexed citations
4.
Brill, Markus, Rupert Freeman, Svante Janson, & Martin Lackner. (2023). Phragmén’s voting methods and justified representation. Mathematical Programming. 203(1-2). 47–76. 5 indexed citations
5.
Chen, Jiehua, et al.. (2022). Participatory Budgeting with Donations and Diversity Constraints. Proceedings of the AAAI Conference on Artificial Intelligence. 36(9). 9323–9330. 1 indexed citations
6.
Brill, Markus, et al.. (2022). Liquid Democracy with Ranked Delegations. Proceedings of the AAAI Conference on Artificial Intelligence. 36(5). 4884–4891. 4 indexed citations
7.
Lackner, Martin. (2020). Perpetual Voting: Fairness in Long-Term Decision Making. Proceedings of the AAAI Conference on Artificial Intelligence. 34(2). 2103–2110. 18 indexed citations
8.
Peters, Dominik & Martin Lackner. (2020). Preferences Single-Peaked on a Circle. Journal of Artificial Intelligence Research. 68. 463–502. 15 indexed citations
9.
Lackner, Martin & Piotr Skowron. (2018). Approval-Based Multi-Winner Rules and Strategic Voting. 340–346. 15 indexed citations
10.
Lackner, Martin & Piotr Skowron. (2018). Consistent Approval-Based Multi-Winner Rules. 47–48. 23 indexed citations
11.
Faliszewski, Piotr, Martin Lackner, Dominik Peters, & Nimrod Talmon. (2018). Effective Heuristics for Committee Scoring Rules. Proceedings of the AAAI Conference on Artificial Intelligence. 32(1). 6 indexed citations
12.
Lackner, Martin, et al.. (2017). Computational Social Choice in the Clouds.. 163–167. 1 indexed citations
13.
Lackner, Martin, et al.. (2017). On the likelihood of single-peaked preferences. Social Choice and Welfare. 48(4). 717–745. 18 indexed citations
14.
Bredereck, Robert, Piotr Faliszewski, Ayumi Igarashi, Martin Lackner, & Piotr Skowron. (2017). Multiwinner Elections with Diversity Constraints. arXiv (Cornell University). 933–940. 2 indexed citations
15.
Brill, Markus, Rupert Freeman, Svante Janson, & Martin Lackner. (2017). Phragmén’s Voting Methods and Justified Representation. Proceedings of the AAAI Conference on Artificial Intelligence. 31(1). 14 indexed citations
16.
Lackner, Martin, et al.. (2017). Winner Determination in Huge Elections with MapReduce. Proceedings of the AAAI Conference on Artificial Intelligence. 31(1). 7 indexed citations
17.
Elkind, Edith, Martin Lackner, & Dominik Peters. (2016). Preference restrictions in computational social choice: recent progress. International Joint Conference on Artificial Intelligence. 4062–4065. 8 indexed citations
18.
Fernández, Luis Sánchez, Edith Elkind, Martin Lackner, et al.. (2016). Proportional Justified Representation. arXiv (Cornell University). 31(1). 670–676. 8 indexed citations
19.
Lackner, Martin, et al.. (2012). Fixed-parameter algorithms for finding minimal models. Principles of Knowledge Representation and Reasoning. 85–95. 8 indexed citations
20.
Lackner, Martin, et al.. (2002). Supporting Design by Contract in Java.. The Journal of Object Technology. 1(3). 57–57. 8 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026