Niklas Tötsch
Impact in
- Process Chemistry and Technology top 10%
- Carbon dioxide utilization in catalysis
Papers in
-
- Carbon dioxide utilization in catalysis 2
- Co-authors
- Davide ChiccoGiuseppe JurmanMark A. JohnsonFabian MengesSubrata GhoshAaron BloomfieldHans‐Jörg KrügerDaniel Hoffmann
- Journals
- Journal of the American Chemical Society (1 paper)BioData Mining (1 paper)Beilstein Journal of Organic Chemistry (1 paper)ACS Omega (1 paper)RSC Advances (1 paper)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Niklas Tötsch
9 papers receiving 676 citations
Hit Papers
Peers
Comparison fields: 5 of 152
- Process Chemistry and Technology 39
- Health Informatics 11
- Health Information Management 35
- Artificial Intelligence 169
- Renewable Energy, Sustainability and the Environment 53
Countries citing papers authored by Niklas Tötsch
This map shows the geographic impact of Niklas Tötsch'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 Niklas Tötsch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Niklas Tötsch more than expected).
Fields of papers citing papers by Niklas Tötsch
This network shows the impact of papers produced by Niklas Tötsch. 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 Niklas Tötsch. The network helps show where Niklas Tötsch may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Niklas Tötsch, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 2 | |
| 2 | The Matthews correlation coefficient (MCC) is more reliable than balanced accuracy, bookmaker informedness, and markedness in two-class confusion matrix evaluation Hit paper breakdown → | 2021 | 537 |
| 3 | 2021 | 11 | |
| 4 | 2020 | 1 | |
| 5 | 2020 | 2 | |
| 6 | 2017 | 19 | |
| 7 | 2015 | 17 | |
| 8 | 2015 | 35 | |
| 9 | 2015 | 67 |
About Niklas Tötsch
Niklas Tötsch is a scholar working on Process Chemistry and Technology, Pharmaceutical Science, Renewable Energy, Sustainability and the Environment, Statistics and Probability and Artificial Intelligence, having authored 9 papers that have together received 691 indexed citations. Recurring topics across this work include Protein Interaction Studies and Fluorescence Analysis (2 papers), Carbon dioxide utilization in catalysis (2 papers), Catalytic Processes in Materials Science (2 papers), CO2 Reduction Techniques and Catalysts (2 papers), Statistical Methods and Bayesian Inference (1 paper), Chemical Synthesis and Analysis (1 paper), Protein Structure and Dynamics (1 paper) and Metabolomics and Mass Spectrometry Studies (1 paper). The work is most often cited by research in Process Chemistry and Technology (39 citations), Health Informatics (11 citations), Health Information Management (35 citations), Artificial Intelligence (169 citations) and Renewable Energy, Sustainability and the Environment (53 citations). Niklas Tötsch has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Davide Chicco, Giuseppe Jurman, Mark A. Johnson, Fabian Menges, Subrata Ghosh, Aaron Bloomfield, Hans‐Jörg Krüger, Daniel Hoffmann, Wolfram Sander and Elsa Sánchez‐García. Their work appears in journals such as Journal of the American Chemical Society, BioData Mining, Beilstein Journal of Organic Chemistry, ACS Omega and RSC Advances.
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.