Marc Maier

556 total citations
15 papers, 264 citations indexed

About

Marc Maier is a scholar working on Artificial Intelligence, Molecular Biology and Statistical and Nonlinear Physics. According to data from OpenAlex, Marc Maier has authored 15 papers receiving a total of 264 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 4 papers in Molecular Biology and 4 papers in Statistical and Nonlinear Physics. Recurrent topics in Marc Maier's work include Bayesian Modeling and Causal Inference (6 papers), Complex Network Analysis Techniques (4 papers) and Insurance and Financial Risk Management (2 papers). Marc Maier is often cited by papers focused on Bayesian Modeling and Causal Inference (6 papers), Complex Network Analysis Techniques (4 papers) and Insurance and Financial Risk Management (2 papers). Marc Maier collaborates with scholars based in United States and Germany. Marc Maier's co-authors include David Jensen, Matthew J. Rattigan, Brian J. Taylor, N. Whitaker, Heather A. Harrington, P. G. Kevrekidis, Christopher M. Danforth, Nicholas Cheney, Peter Sheridan Dodds and Lisa Friedland and has published in prestigious journals such as Mathematical and Computer Modelling, AI Magazine and ACM Transactions on Knowledge Discovery from Data.

In The Last Decade

Marc Maier

15 papers receiving 238 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marc Maier United States 9 117 108 52 38 35 15 264
Lotfi Ben Romdhane Tunisia 13 158 1.4× 355 3.3× 100 1.9× 33 0.9× 87 2.5× 29 471
Liqing Qiu China 9 118 1.0× 202 1.9× 35 0.7× 14 0.4× 81 2.3× 47 332
Kouzou Ohara Japan 8 70 0.6× 204 1.9× 57 1.1× 42 1.1× 67 1.9× 39 322
Sucheta Soundarajan United States 10 155 1.3× 278 2.6× 100 1.9× 17 0.4× 47 1.3× 44 403
Stefano Leucci Italy 8 99 0.8× 75 0.7× 44 0.8× 30 0.8× 21 0.6× 36 230
Naoto Ohsaka Japan 6 98 0.8× 225 2.1× 102 2.0× 20 0.5× 43 1.2× 21 301
Matjaž Zaveršnik Slovenia 3 98 0.8× 165 1.5× 76 1.5× 22 0.6× 67 1.9× 4 289
Arlei Silva United States 7 90 0.8× 134 1.2× 42 0.8× 30 0.8× 87 2.5× 24 224
Valeria Fionda Italy 11 178 1.5× 66 0.6× 87 1.7× 37 1.0× 52 1.5× 37 277

Countries citing papers authored by Marc Maier

Since Specialization
Citations

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

Fields of papers citing papers by Marc Maier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marc Maier

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

All Works

15 of 15 papers shown
1.
2.
Maier, Marc. (2021). Causal Discovery for Relational Domains: Representation, Reasoning, and Learning. Scholarworks (University of Massachusetts Amherst). 5 indexed citations
3.
4.
Maier, Marc, et al.. (2019). Transforming Underwriting in the Life Insurance Industry. Proceedings of the AAAI Conference on Artificial Intelligence. 33(1). 9373–9380. 5 indexed citations
5.
Maier, Marc, et al.. (2015). Learning the structure of causal models with relational and temporal dependence. 572–581. 7 indexed citations
6.
Rattigan, Matthew J., Marc Maier, & David Jensen. (2011). Relational Blocking for Causal Discovery. Proceedings of the AAAI Conference on Artificial Intelligence. 25(1). 145–151. 8 indexed citations
7.
Maier, Marc, Matthew J. Rattigan, & David Jensen. (2011). Indexing Network Structure with Shortest-Path Trees. ACM Transactions on Knowledge Discovery from Data. 5(3). 1–25. 5 indexed citations
8.
Maier, Marc, et al.. (2010). Learning Causal Models of Relational Domains. Proceedings of the AAAI Conference on Artificial Intelligence. 24(1). 531–538. 15 indexed citations
9.
Jensen, David, et al.. (2008). Automatic identification of quasi-experimental designs for discovering causal knowledge. 372–380. 16 indexed citations
10.
Harrington, Heather A., et al.. (2007). A hybrid model for tumor-induced angiogenesis in the cornea in the presence of inhibitors. Mathematical and Computer Modelling. 46(3-4). 513–524. 21 indexed citations
11.
Rattigan, Matthew J., Marc Maier, & David Jensen. (2007). Exploiting Network Structure for Active Inference in Collective Classification. 429–434. 10 indexed citations
12.
Rattigan, Matthew J., Marc Maier, & David Jensen. (2007). Graph clustering with network structure indices. 783–790. 88 indexed citations
13.
Friedland, Lisa, et al.. (2007). Relational data pre-processing techniques for improved securities fraud detection. ScholarWorks@UMassAmherst (University of Massachusetts Amherst). 941–949. 14 indexed citations
14.
Rattigan, Matthew J., Marc Maier, & David Jensen. (2006). Using structure indices for efficient approximation of network properties. 357–366. 38 indexed citations
15.
Waibel, Alex, Michael Finke, Donna Gates, et al.. (2002). JANUS-II-translation of spontaneous conversational speech. 1. 409–412. 7 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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