Tobias Weigel

765 total citations
19 papers, 205 citations indexed

About

Tobias Weigel is a scholar working on Information Systems and Management, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Tobias Weigel has authored 19 papers receiving a total of 205 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Information Systems and Management, 5 papers in Information Systems and 3 papers in Computer Networks and Communications. Recurrent topics in Tobias Weigel's work include Scientific Computing and Data Management (8 papers), Research Data Management Practices (3 papers) and Atmospheric and Environmental Gas Dynamics (2 papers). Tobias Weigel is often cited by papers focused on Scientific Computing and Data Management (8 papers), Research Data Management Practices (3 papers) and Atmospheric and Environmental Gas Dynamics (2 papers). Tobias Weigel collaborates with scholars based in Germany, United States and Italy. Tobias Weigel's co-authors include Christopher S. Ruf, Milad Asgarimehr, Caroline Arnold, Jens Wickert, Michael Lautenschlager, Jens Klump, Martin Juckes, Karl E. Taylor, D. N. Williams and L. Cinquini and has published in prestigious journals such as Remote Sensing of Environment, Earth and Planetary Science Letters and Remote Sensing.

In The Last Decade

Tobias Weigel

15 papers receiving 200 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tobias Weigel Germany 5 61 56 53 50 48 19 205
D. Nadeau United States 8 40 0.7× 24 0.4× 76 1.4× 30 0.6× 25 0.5× 10 298
Christopher Lynnes United States 12 67 1.1× 26 0.5× 68 1.3× 38 0.8× 49 1.0× 58 468
Øystein Godøy Norway 8 103 1.7× 11 0.2× 63 1.2× 51 1.0× 49 1.0× 23 223
Ben Evans Australia 7 23 0.4× 21 0.4× 44 0.8× 27 0.5× 28 0.6× 28 169
Jon Blower United Kingdom 12 82 1.3× 23 0.4× 114 2.2× 76 1.5× 84 1.8× 37 398
Philip Kershaw United Kingdom 7 148 2.4× 17 0.3× 168 3.2× 82 1.6× 74 1.5× 21 372
Stephan Kindermann Germany 5 57 0.9× 15 0.3× 80 1.5× 23 0.5× 23 0.5× 14 149
Valerie Hendrix United States 8 30 0.5× 74 1.3× 60 1.1× 28 0.6× 32 0.7× 13 191
Stuart Minchin Australia 6 52 0.9× 58 1.0× 112 2.1× 26 0.5× 30 0.6× 10 279
Jean-Philippe Richard Switzerland 7 51 0.8× 58 1.0× 112 2.1× 20 0.4× 30 0.6× 9 289

Countries citing papers authored by Tobias Weigel

Since Specialization
Citations

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

Fields of papers citing papers by Tobias Weigel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tobias Weigel

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

All Works

19 of 19 papers shown
1.
Arnold, Caroline, et al.. (2024). Efficient and stable coupling of the SuperdropNet deep-learning-based cloud microphysics (v0.1.0) with the ICON climate and weather model (v2.6.5). Geoscientific model development. 17(9). 4017–4029. 1 indexed citations
2.
Weigel, Tobias, et al.. (2024). Deep-Learning-Based Automatic Sinkhole Recognition: Application to the Eastern Dead Sea. Remote Sensing. 16(13). 2264–2264. 7 indexed citations
3.
Piraud, Marie, Andrés Camero, Markus Götz, et al.. (2023). Providing AI expertise as an infrastructure in academia. Patterns. 4(8). 100819–100819.
4.
Karimpouli, Sadegh, Patricia Martínez‐Garzón, Marco Bohnhoff, et al.. (2023). Explainable machine learning for labquake prediction using catalog-driven features. Earth and Planetary Science Letters. 622. 118383–118383. 17 indexed citations
5.
Sinnhuber, Björn‐Martin, et al.. (2021). AI for Fast Atmospheric Chemistry. 1 indexed citations
6.
Asgarimehr, Milad, Caroline Arnold, Tobias Weigel, Christopher S. Ruf, & Jens Wickert. (2021). GNSS reflectometry global ocean wind speed using deep learning: Development and assessment of CyGNSSnet. Remote Sensing of Environment. 269. 112801–112801. 60 indexed citations
7.
Paasche, Hendrik, et al.. (2021). To the brave scientists: Aren't we strong enough to stand (and profit from) uncertainty in Earth system measurement and modelling?. Geoscience Data Journal. 9(2). 393–399. 4 indexed citations
8.
Manghi, Paolo, et al.. (2020). Second draft Persistent Identifier (PID) policy for the European Open Science Cloud (EOSC). Zenodo (CERN European Organization for Nuclear Research). 2 indexed citations
9.
Manghi, Paolo, et al.. (2019). Initial Persistent Identifier (PID) policy for the European Open Science Cloud (EOSC). Zenodo (CERN European Organization for Nuclear Research).
10.
Weigel, Tobias, et al.. (2019). Making Data and Workflows Findable for Machines. Data Intelligence. 2(1-2). 40–46. 26 indexed citations
11.
Weigel, Tobias, et al.. (2019). Enabling Server-Based Computing and FAIR Data Sharing with the ENES Climate Analytics Service. Institutional Research Information System (Università degli Studi di Trento). 651–653. 1 indexed citations
12.
Balaji, V., Karl E. Taylor, Martin Juckes, et al.. (2018). Requirements for a global data infrastructure in support of CMIP6. Geoscientific model development. 11(9). 3659–3680. 69 indexed citations
13.
Weigel, Tobias, et al.. (2018). ENES Climate Analytics Service (ECAS). EGU General Assembly Conference Abstracts. 12549. 1 indexed citations
14.
Wittenburg, Peter, M. Hellström, Ari Asmi, et al.. (2017). Persistent identifiers: Consolidated assertions. Status of November, 2017.. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
15.
Weigel, Tobias, et al.. (2017). Recommendation on Research Data Collections. Reproduction in Domestic Animals. 3 indexed citations
16.
Weigel, Tobias, et al.. (2015). PID Information Types WG final deliverable. Zenodo (CERN European Organization for Nuclear Research). 4 indexed citations
17.
Weigel, Tobias. (2015). Pid Usage At Dkrz, The Role Of Rda And Epic Policies. Zenodo (CERN European Organization for Nuclear Research).
18.
Weigel, Tobias, Stephan Kindermann, & Michael Lautenschlager. (2014). Actionable Persistent Identifier Collections. Data Science Journal. 12(0). 191–206. 4 indexed citations
19.
Weigel, Tobias, et al.. (2013). A Framework for Extended Persistent Identification of Scientific Assets. Data Science Journal. 12(0). 10–22. 4 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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