Daniel Krah
Impact in
- Pollution top 5%
- Pharmaceutical and Antibiotic Environmental Impacts
- Wastewater Treatment and Nitrogen Removal
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- Water Treatment and Disinfection
Papers in
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- Blockchain Technology Applications and Security 3
- Cloud Computing and Resource Management 1
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- Energy Efficient Wireless Sensor Networks 1
- Co-authors
- Thomas A. Ternes (3 shared papers)Arne Wick (3 shared papers)David W. Wolff (1 shared paper)Andreas Dötsch (1 shared paper)Lorena González-Gil (1 shared paper)Marta Carballa (1 shared paper)Juan M. Lema (1 shared paper)Shubham Joshi (1 shared paper)
- Journals
- Wireless Communications and Mobile Computing (5 papers)Water Research (3 papers)The Journal of Physical Chemistry C (1 paper)Journal of Healthcare Engineering (2 papers)
- Partner nations
- GhanaIndiaSaudi Arabia
In The Last Decade
Daniel Krah
11 papers receiving 392 citations
Peers
Comparison fields: 5 of 77
- Pollution 194
- Health, Toxicology and Mutagenesis 70
- Water Science and Technology 45
- Ophthalmology 23
- Applied Microbiology and Biotechnology 5
Countries citing papers authored by Daniel Krah
This map shows the geographic impact of Daniel Krah'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 Daniel Krah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Krah more than expected).
Fields of papers citing papers by Daniel Krah
This network shows the impact of papers produced by Daniel Krah. 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 Daniel Krah. The network helps show where Daniel Krah may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Krah, 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 | 2018 | 89 | |
| 2 | 2019 | 83 | |
| 3 | 2016 | 71 | |
| 4 | 2022 | 45 | |
| 5 | 2022 | 44 | |
| 6 | 2022 | 32 | |
| 7 | 2009 | 21 | |
| 8 | 2022 | 8 | |
| 9 | 2022 | 6 | |
| 10 | 2022 | 3 | |
| 11 | 2022 | 2 |
About Daniel Krah
Daniel Krah is a scholar working on Information Systems, Computer Networks and Communications, Pollution, Health, Toxicology and Mutagenesis and Computer Vision and Pattern Recognition, having authored 11 papers that have together received 404 indexed citations. Recurring topics across this work include Blockchain Technology Applications and Security (3 papers), Pharmaceutical and Antibiotic Environmental Impacts (3 papers), Water Treatment and Disinfection (2 papers), Wastewater Treatment and Nitrogen Removal (2 papers), Pesticide and Herbicide Environmental Studies (1 paper), Fire Detection and Safety Systems (1 paper), Cloud Computing and Resource Management (1 paper) and Energy Efficient Wireless Sensor Networks (1 paper). The work is most often cited by research in Pollution (194 citations), Health, Toxicology and Mutagenesis (70 citations), Water Science and Technology (45 citations), Ophthalmology (23 citations) and Applied Microbiology and Biotechnology (5 citations). Daniel Krah has collaborated with scholars based in Ghana, India and Saudi Arabia. Frequent co-authors include Thomas A. Ternes, Arne Wick, David W. Wolff, Andreas Dötsch, Lorena González-Gil, Marta Carballa, Juan M. Lema, Shubham Joshi, Roopali Dogra and Shalli Rani. Their work appears in journals such as Wireless Communications and Mobile Computing, Water Research, The Journal of Physical Chemistry C and Journal of Healthcare Engineering.
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.