Martin Lackner

Martin Lackner

Technische Universität Wien

H-index: 25

Europe-Austria

About Martin Lackner

Martin Lackner, With an exceptional h-index of 25 and a recent h-index of 20 (since 2020), a distinguished researcher at Technische Universität Wien, specializes in the field of Artificial Intelligence, Computational Social Choice.

His recent articles reflect a diverse array of research interests and contributions to the field:

Phragmén’s voting methods and justified representation

Repeated fair allocation of indivisible items

Enabling the Digital Democratic Revival: A Research Program for Digital Democracy

An experimental comparison of multiwinner voting rules on approval elections

abcvoting: A Python package for approval-based multi-winner voting rules

Multi-winner voting with approval preferences

Free-riding in multi-issue decisions

Approval-based shortlisting

Martin Lackner Information

University

Position

___

Citations(all)

1826

Citations(since 2020)

1403

Cited By

905

hIndex(all)

25

hIndex(since 2020)

20

i10Index(all)

40

i10Index(since 2020)

35

Email

University Profile Page

Technische Universität Wien

Google Scholar

View Google Scholar Profile

Martin Lackner Skills & Research Interests

Artificial Intelligence

Computational Social Choice

Top articles of Martin Lackner

Title

Journal

Author(s)

Publication Date

Phragmén’s voting methods and justified representation

Mathematical Programming

Markus Brill

Rupert Freeman

Svante Janson

Martin Lackner

2024/1

Repeated fair allocation of indivisible items

Proceedings of the AAAI Conference on Artificial Intelligence

Ayumi Igarashi

Martin Lackner

Oliviero Nardi

Arianna Novaro

2024/3/24

Enabling the Digital Democratic Revival: A Research Program for Digital Democracy

arXiv preprint arXiv:2401.16863

Davide Grossi

Ulrike Hahn

Michael Mäs

Andreas Nitsche

Jan Behrens

...

2024/1/30

An experimental comparison of multiwinner voting rules on approval elections

IJCAI 2023

Piotr Faliszewski

Martin Lackner

Krzysztof Sornat

Stanisław Szufa

2023

abcvoting: A Python package for approval-based multi-winner voting rules

Journal of Open Source Software

Martin Lackner

Peter Regner

Benjamin Krenn

2023/1/27

Multi-winner voting with approval preferences

Martin Lackner

Piotr Skowron

2023

Free-riding in multi-issue decisions

arXiv preprint arXiv:2310.08194

Martin Lackner

Jan Maly

Oliviero Nardi

2023/10/12

Approval-based shortlisting

Social Choice and Welfare

Martin Lackner

Jan Maly

2023/8/11

Proportional decisions in perpetual voting

Proceedings of the AAAI Conference on Artificial Intelligence

Martin Lackner

Jan Maly

2023/6/26

Proportionality in approval-based participatory budgeting

Proceedings of the AAAI Conference on Artificial Intelligence

Markus Brill

Stefan Forster

Martin Lackner

Jan Maly

Jannik Peters

2023/6/26

Related Formalisms and Applications

Martin Lackner

Piotr Skowron

2022/11/18

Participatory budgeting with donations and diversity constraints

Proceedings of the AAAI Conference on Artificial Intelligence

Jiehua Chen

Martin Lackner

Jan Maly

2022/6/28

Proportionality

James Woodward

2021

Preference restrictions in computational social choice: A survey

arXiv preprint arXiv:2205.09092

Edith Elkind

Martin Lackner

Dominik Peters

2022/5/18

Fairness in participatory budgeting via equality of resources

arXiv preprint arXiv:2205.07517

Jan Maly

Simon Rey

Ulle Endriss

Martin Lackner

2022/5/16

Basic Properties of ABC Rules

Martin Lackner

Piotr Skowron

2022/11/18

Outlook and Research Directions

Martin Lackner

Piotr Skowron

2022/11/18

Effort-based fairness for participatory budgeting

arXiv preprint arXiv:2205.07517

Jan Maly

Simon Rey

Ulle Endriss

Martin Lackner

2022

How to sample approval elections?

Stanisław Szufa

Piotr Faliszewski

Łukasz Janeczko

Martin Lackner

Arkadii Slinko

...

2022/7/3

Algorithms and Computational Complexity

Martin Lackner

Piotr Skowron

2022/11/18

See List of Professors in Martin Lackner University(Technische Universität Wien)

Co-Authors

H-index: 47
Edith Elkind

Edith Elkind

University of Oxford

H-index: 46
Piotr Faliszewski

Piotr Faliszewski

Akademia Górniczo-Hutnicza

H-index: 33
Piotr Skowron

Piotr Skowron

Uniwersytet Warszawski

H-index: 28
Reinhard Pichler

Reinhard Pichler

Technische Universität Wien

H-index: 26
Dominik Peters

Dominik Peters

Harvard University

H-index: 25
Robert Bredereck

Robert Bredereck

Humboldt-Universität zu Berlin

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