Tobias Schnabel

40 papers receiving 1.1k citations

Hit Papers

Evaluation methods for unsupervised word embeddings201520262018202220152017100200300

Peers

Tobias Schnabel
Comparison fields: 5 of 99
  • Artificial Intelligence 684
  • Information Systems 336
  • Management Science and Operations Research 187
  • Computer Vision and Pattern Recognition 113
  • Organic Chemistry 77
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Mengchi Liu Canada
Jiawei Chen China
Yixin Cao China
Mehdi Kargar Canada
Albert Weichselbraun Austria
Bowen Yu China
Rehan Akbar Malaysia
Riza Batista-Navarro United Kingdom
Tobias Schnabel relative to Mengchi Liu Canada Mengchi Liu's profile →
Citations per field
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Citations per year

Countries citing papers authored by Tobias Schnabel

Since Specialization
Citations

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

Fields of papers citing papers by Tobias Schnabel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tobias Schnabel

This figure shows the co-authorship network connecting the top 25 collaborators of Tobias Schnabel. A scholar is included among the top collaborators of Tobias Schnabel 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 Schnabel. Tobias Schnabel 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
#WorkIndexed citations
1 0
2 2
3 2
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5 5
6 2
7 1
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10 1
11 27
12 16
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14
Deep Generalized Method of Moments for Instrumental Variable Analysis
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15 30
16 24
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Evaluation methods for unsupervised word embeddingsbreakdown →
319
18 1
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Stable Coactive Learning via Perturbation
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20 39

About Tobias Schnabel

Tobias Schnabel is a scholar working on Computer Science Applications, Renewable Energy, Sustainability and the Environment and Management Science and Operations Research, having authored 42 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Photocatalysis Techniques (12 papers), TiO2 Photocatalysis and Solar Cells (10 papers) and Topic Modeling (9 papers). The work is most often cited by research in Artificial Intelligence (684 citations), Management Science and Operations Research (187 citations) and Information Systems (336 citations). Tobias Schnabel has collaborated with scholars based in United States, Germany and Peru. Frequent co-authors include Thorsten Joachims, Adith Swaminathan, Igor Labutov, David Mimno, Paul N. Bennett, Marti A. Hearst, Philippe Laban, Kai Brandhorst, Matthias Tamm and Christian Springer. Their work appears in journals such as Chemical Communications, Chemistry - A European Journal and Journal of Environmental Management.

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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