Felix Kleinert

654 total citations · 1 hit paper
10 papers, 344 citations indexed

About

Felix Kleinert is a scholar working on Atmospheric Science, Environmental Engineering and Global and Planetary Change. According to data from OpenAlex, Felix Kleinert has authored 10 papers receiving a total of 344 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Atmospheric Science, 9 papers in Environmental Engineering and 5 papers in Global and Planetary Change. Recurrent topics in Felix Kleinert's work include Air Quality Monitoring and Forecasting (7 papers), Atmospheric chemistry and aerosols (7 papers) and Climate variability and models (3 papers). Felix Kleinert is often cited by papers focused on Air Quality Monitoring and Forecasting (7 papers), Atmospheric chemistry and aerosols (7 papers) and Climate variability and models (3 papers). Felix Kleinert collaborates with scholars based in Germany. Felix Kleinert's co-authors include Martin G. Schultz, Lukas Hubert Leufen, Clara Betancourt, Bing Gong, Michael Langguth, Scarlet Stadtler, Amirpasha Mozaffari, Aurelia Lupaşcu, Tim Butler and Daniel Mallmann and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences.

In The Last Decade

Felix Kleinert

10 papers receiving 332 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Can deep learning beat numerical weather prediction?

2021 280 citations Martin G. Schultz, Clara Betancourt et al. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Felix Kleinert Germany	5	189	164	129	56	49	10	344
Lukas Hubert Leufen Germany	5	199 1.1×	161 1.0×	132 1.0×	53 0.9×	47 1.0×	9	342
Clara Betancourt Germany	5	180 1.0×	156 1.0×	129 1.0×	63 1.1×	48 1.0×	9	345
Scarlet Stadtler Germany	8	295 1.6×	174 1.1×	208 1.6×	62 1.1×	55 1.1×	13	471
Michael Langguth Germany	5	185 1.0×	136 0.8×	133 1.0×	56 1.0×	56 1.1×	6	333
Amirpasha Mozaffari Germany	7	180 1.0×	142 0.9×	127 1.0×	59 1.1×	59 1.2×	13	381
Bogdan Bochenek Poland	9	163 0.9×	122 0.7×	153 1.2×	61 1.1×	86 1.8×	24	405
Sabrina Gentile Italy	11	182 1.0×	90 0.5×	165 1.3×	58 1.0×	37 0.8×	32	315
Edoardo Geraldi Italy	11	111 0.6×	79 0.5×	131 1.0×	93 1.7×	51 1.0×	24	319
Shrutilipi Bhattacharjee India	10	103 0.5×	88 0.5×	191 1.5×	53 0.9×	15 0.3×	40	368
Gregory Roux United States	9	314 1.7×	93 0.6×	220 1.7×	39 0.7×	69 1.4×	13	394

Countries citing papers authored by Felix Kleinert

Since Specialization

Citations

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

Fields of papers citing papers by Felix Kleinert

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Felix Kleinert

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

All Works

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10 of 10 papers shown

1.

Betancourt, Clara, et al.. (2023). Graph Machine Learning for Improved Imputation of Missing Tropospheric Ozone Data. Environmental Science & Technology. 57(46). 18246–18258. 14 indexed citations

2.

Leufen, Lukas Hubert, Felix Kleinert, & Martin G. Schultz. (2023). O3ResNet: A Deep Learning–Based Forecast System to Predict Local Ground-Level Daily Maximum 8-Hour Average Ozone in Rural and Suburban Environments. 2(3). 4 indexed citations

3.

Kleinert, Felix, Lukas Hubert Leufen, Aurelia Lupaşcu, Tim Butler, & Martin G. Schultz. (2022). Representing chemical history in ozone time-series predictions – a model experiment study building on the MLAir (v1.5) deep learning framework. Geoscientific model development. 15(23). 8913–8930. 8 indexed citations

4.

Leufen, Lukas Hubert, Felix Kleinert, & Martin G. Schultz. (2022). Exploring decomposition of temporal patterns to facilitate learning of neural networks for ground-level daily maximum 8-hour average ozone prediction. SHILAP Revista de lepidopterología. 1. 4 indexed citations

5.

Leufen, Lukas Hubert, Felix Kleinert, & Martin G. Schultz. (2021). MLAir (v1.0) – a tool to enable fast and flexible machine learning on air data time series. Geoscientific model development. 14(3). 1553–1574. 7 indexed citations

6.

Kleinert, Felix, Lukas Hubert Leufen, Aurelia Lupaşcu, Tim Butler, & Martin G. Schultz. (2021). Representing chemical history for ozone time-series predictions - a method development study for deep learning models. 1 indexed citations

7.

Kleinert, Felix, Lukas Hubert Leufen, & Martin G. Schultz. (2021). IntelliO3-ts v1.0: a neural network approach to predict near-surface ozone concentrations in Germany. Geoscientific model development. 14(1). 1–25. 24 indexed citations

8.

Schultz, Martin G., Clara Betancourt, Bing Gong, et al.. (2021). Can deep learning beat numerical weather prediction?. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 379(2194). 20200097–20200097. 280 indexed citations breakdown →

9.

Schultz, Martin, Felix Kleinert, Lukas Hubert Leufen, et al.. (2019). DeepRain - Improved local-scale prediction of precipitation through deep learning. EGU General Assembly Conference Abstracts. 13625. 1 indexed citations

10.

Schultz, Martin G., et al.. (2018). A Web Service Architecture for Objective Station Classification Purposes. 6. 283–284. 1 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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