Felix Laumann

489 total citations
11 papers, 146 citations indexed

About

Felix Laumann is a scholar working on Artificial Intelligence, Economics and Econometrics and Global and Planetary Change. According to data from OpenAlex, Felix Laumann has authored 11 papers receiving a total of 146 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 3 papers in Economics and Econometrics and 3 papers in Global and Planetary Change. Recurrent topics in Felix Laumann's work include Sustainability and Climate Change Governance (3 papers), Gaussian Processes and Bayesian Inference (2 papers) and Statistical Methods and Inference (2 papers). Felix Laumann is often cited by papers focused on Sustainability and Climate Change Governance (3 papers), Gaussian Processes and Bayesian Inference (2 papers) and Statistical Methods and Inference (2 papers). Felix Laumann collaborates with scholars based in United Kingdom, Germany and Denmark. Felix Laumann's co-authors include Mauricio Barahona, Julius von Kügelgen, Torben Tambo, Kumar Shridhar, Mette Møller Sørensen, Edward S. Boyden, Ajay Gambhir, Anthony A Laverty, Alexandre C. Köberle and David Sharp and has published in prestigious journals such as SHILAP Revista de lepidopterología, Cell Reports and Sustainability.

In The Last Decade

Felix Laumann

11 papers receiving 140 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Felix Laumann United Kingdom	7	26	25	25	17	16	11	146
Siyan Liu China	5	15 0.6×	11 0.4×	59 2.4×	16 0.9×	8 0.5×	14	204
Aikaterini Papapostolou Greece	9	56 2.2×	16 0.6×	36 1.4×	9 0.5×	6 0.4×	22	244
Saurabh P. Choudhary India	6	6 0.2×	11 0.4×	10 0.4×	22 1.3×	25 1.6×	18	199
Erkki Antila Finland	8	17 0.7×	14 0.6×	42 1.7×	16 0.9×	6 0.4×	23	310
Obinna Iwuanyanwu Nigeria	9	25 1.0×	18 0.7×	13 0.5×	9 0.5×	3 0.2×	21	169
Mahdi Abolghasemi Iran	6	38 1.5×	4 0.2×	19 0.8×	9 0.5×	10 0.6×	14	166
Antoine Durand Germany	9	37 1.4×	9 0.4×	14 0.6×	3 0.2×	7 0.4×	17	189
Michael Burger Germany	8	7 0.3×	22 0.9×	14 0.6×	54 3.2×	14 0.9×	64	216
Magda Pitsiava–Latinopoulou Greece	10	19 0.7×	41 1.6×	20 0.8×	19 1.1×	7 0.4×	18	323
Ana Simão Portugal	3	6 0.2×	37 1.5×	13 0.5×	34 2.0×	8 0.5×	4	156

Countries citing papers authored by Felix Laumann

Since Specialization

Citations

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

Fields of papers citing papers by Felix Laumann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Felix Laumann

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

All Works

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11 of 11 papers shown

Peach, Robert L., Emma‐Jane Mallas, E. J. Rhodes, et al.. (2024). The neuron mixer and its impact on human brain dynamics. Cell Reports. 43(6). 114274–114274. 7 indexed citations

Liu, Zhaolu, et al.. (2023). Kernel-based joint independence tests for multivariate stationary and non-stationary time series. Royal Society Open Science. 10(11). 230857–230857. 1 indexed citations

Laumann, Felix, et al.. (2023). Kernel-Based Independence Tests for Causal Structure Learning on Functional Data. Entropy. 25(12). 1597–1597. 2 indexed citations

Laumann, Felix, et al.. (2022). Complex interlinkages, key objectives, and nexuses among the Sustainable Development Goals and climate change: a network analysis. The Lancet Planetary Health. 6(5). e422–e430. 65 indexed citations

Laumann, Felix. (2021). Kernel Two-Sample and Independence Tests for Nonstationary Random Processes. MDPI (MDPI AG). 3 indexed citations

Collins, Alexandra, Neil Jennings, Alexandre C. Köberle, et al.. (2021). A hybrid approach to identifying and assessing interactions between climate action (SDG13) policies and a range of SDGs in a UK context. SHILAP Revista de lepidopterología. 2(1). 43–43. 10 indexed citations

Laumann, Felix, et al.. (2021). Complex Interlinkages, Key Objectives and Nexuses Amongst the Sustainable Development Goals and Climate Change. SSRN Electronic Journal. 4 indexed citations

Shridhar, Kumar, et al.. (2018). Bayesian Convolutional Neural Networks with Variational Inference. arXiv (Cornell University). 7 indexed citations

Laumann, Felix & Kumar Shridhar. (2018). Bayesian Convolutional Neural Networks. arXiv (Cornell University). 11 indexed citations

10.

Laumann, Felix & Torben Tambo. (2018). Enterprise Architecture for a Facilitated Transformation from a Linear to a Circular Economy. Sustainability. 10(11). 3882–3882. 23 indexed citations

11.

Laumann, Felix, et al.. (2017). Energy harvesting through piezoelectricity - technology foresight. Energy Procedia. 142. 3062–3068. 13 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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