Martin Mladenov

657 total citations
32 papers, 332 citations indexed

About

Martin Mladenov is a scholar working on Artificial Intelligence, Management Science and Operations Research and Computer Networks and Communications. According to data from OpenAlex, Martin Mladenov has authored 32 papers receiving a total of 332 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 8 papers in Management Science and Operations Research and 7 papers in Computer Networks and Communications. Recurrent topics in Martin Mladenov's work include Bayesian Modeling and Causal Inference (10 papers), Machine Learning and Algorithms (6 papers) and Advanced Bandit Algorithms Research (6 papers). Martin Mladenov is often cited by papers focused on Bayesian Modeling and Causal Inference (10 papers), Machine Learning and Algorithms (6 papers) and Advanced Bandit Algorithms Research (6 papers). Martin Mladenov collaborates with scholars based in Germany, United States and Canada. Martin Mladenov's co-authors include Michael Möck, Kristian Kersting, Babak Ahmadi, Natalia Andrienko, Gennady Andrienko, Sriraam Natarajan, Amir Globerson, Craig Boutilier, Roman Garnett and Pavel Tokmakov and has published in prestigious journals such as Artificial Intelligence, Machine Learning and IEEE Transactions on Visualization and Computer Graphics.

In The Last Decade

Martin Mladenov

31 papers receiving 319 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 Mladenov Germany 11 158 95 75 49 43 32 332
Ling Xiao China 7 107 0.7× 151 1.6× 26 0.3× 83 1.7× 48 1.1× 19 327
Fei Yi China 12 94 0.6× 80 0.8× 55 0.7× 30 0.6× 43 1.0× 23 334
Hadi Tabatabaee Malazi Iran 11 88 0.6× 70 0.7× 79 1.1× 23 0.5× 206 4.8× 31 366
Jibing Gong China 12 181 1.1× 47 0.5× 53 0.7× 20 0.4× 77 1.8× 50 390
Mengyuan Wang China 6 104 0.7× 39 0.4× 53 0.7× 54 1.1× 93 2.2× 12 261
Jinghua Zhu China 11 87 0.6× 52 0.5× 63 0.8× 12 0.2× 112 2.6× 53 319
Kyosuke Nishida Japan 13 347 2.2× 118 1.2× 18 0.2× 151 3.1× 20 0.5× 40 506
L. V. Subramaniam India 11 117 0.7× 74 0.8× 35 0.5× 96 2.0× 45 1.0× 36 310
Chao Deng China 12 181 1.1× 97 1.0× 31 0.4× 36 0.7× 62 1.4× 47 391

Countries citing papers authored by Martin Mladenov

Since Specialization
Citations

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

Fields of papers citing papers by Martin Mladenov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Mladenov

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Mladenov. A scholar is included among the top collaborators of Martin Mladenov 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 Mladenov. Martin Mladenov 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.
2.
Hsu, Chih‐Wei, et al.. (2024). Minimizing Live Experiments in Recommender Systems: User Simulation to Evaluate Preference Elicitation Policies. arXiv (Cornell University). 2925–2929. 2 indexed citations
3.
Fuhr, Norbert, Krisztian Balog, Philipp Schaer, et al.. (2024). Report on the 1st Workshop on Simulations for Information Access (Sim4IA 2024) at SIGIR 2024. ACM SIGIR Forum. 58(2). 1–14. 2 indexed citations
4.
Boutilier, Craig, et al.. (2024). Recommender Ecosystems: A Mechanism Design Perspective on Holistic Modeling and Optimization. Proceedings of the AAAI Conference on Artificial Intelligence. 38(20). 22575–22583. 2 indexed citations
5.
Zhan, Ruohan, Konstantina Christakopoulou, Martin Mladenov, et al.. (2021). Towards Content Provider Aware Recommender Systems. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 3872–3883. 11 indexed citations
6.
Kveton, Branislav, Martin Mladenov, Chih‐Wei Hsu, et al.. (2020). Differentiable Meta-Learning in Contextual Bandits.. arXiv (Cornell University). 1 indexed citations
7.
Boutilier, Craig, Chih‐Wei Hsu, Branislav Kveton, et al.. (2020). Differentiable Meta-Learning of Bandit Policies.. Neural Information Processing Systems. 33. 2122–2134. 4 indexed citations
8.
Mladenov, Martin, et al.. (2020). Optimizing Long-term Social Welfare in Recommender Systems: A Constrained Matching Approach. arXiv (Cornell University). 1. 6987–6998. 6 indexed citations
9.
Mladenov, Martin, et al.. (2020). H∞ CONTROL DESIGN OF A MULTITANK SYSTEM. 70(3). 26–33. 1 indexed citations
10.
Mladenov, Martin, Vaishak Belle, & Kristian Kersting. (2017). The Symbolic Interior Point Method. Proceedings of the AAAI Conference on Artificial Intelligence. 31(1). 2 indexed citations
11.
Mladenov, Martin, et al.. (2016). RELOOP: A Python-Embedded Declarative Language for Relational Optimization.. National Conference on Artificial Intelligence. 2 indexed citations
12.
Hadiji, Fabian, Martin Mladenov, Christian Bauckhage, & Kristian Kersting. (2015). Computer science on the move: inferring migration regularities from the web via compressed label propagation. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 171–177. 4 indexed citations
13.
Mladenov, Martin & Kristian Kersting. (2015). Equitable partitions of concave free energies. Uncertainty in Artificial Intelligence. 602–611. 4 indexed citations
14.
Kersting, Kristian, Martin Mladenov, & Pavel Tokmakov. (2015). Relational linear programming. Artificial Intelligence. 244. 188–216. 11 indexed citations
15.
Mladenov, Martin, Amir Globerson, & Kristian Kersting. (2014). Lifted message passing as reparametrization of graphical models. Uncertainty in Artificial Intelligence. 603–612. 9 indexed citations
16.
Mladenov, Martin, Kristian Kersting, & Amir Globerson. (2014). Efficient Lifting of MAP LP Relaxations Using k-Locality. 623–632. 11 indexed citations
17.
Mladenov, Martin & Kristian Kersting. (2013). Lifted inference via k-locality. National Conference on Artificial Intelligence. 25–30. 2 indexed citations
18.
Andrienko, Gennady, et al.. (2011). Identifying Place Histories from Activity Traces with an Eye to Parameter Impact. IEEE Transactions on Visualization and Computer Graphics. 18(5). 675–688. 17 indexed citations
19.
Andrienko, Gennady, et al.. (2010). Extracting Events from Spatial Time Series. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 48–53. 13 indexed citations
20.
Andrienko, Gennady, et al.. (2010). Discovering bits of place histories from people's activity traces. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 59–66. 26 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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