Daniel Drescher
Impact in
- Information Systems top 5%
- Blockchain Technology Applications and Security
- Cloud Data Security Solutions
- Management Information Systems top 10%
- FinTech, Crowdfunding, Digital Finance
Papers in
-
- Blockchain Technology Applications and Security 5
- Cloud Computing and Resource Management 1
- Spam and Phishing Detection 1
-
- Blind Source Separation Techniques 1
- Journals
- Chemical Engineering & Technology (1 paper)Methods of Information in Medicine (1 paper)Klinische Neurophysiologie (1 paper)CERN Document Server (European Organization for Nuclear Research) (1 paper)Apress eBooks (11 papers)
- Partner nations
- Germany
In The Last Decade
Daniel Drescher
13 papers receiving 323 citations
Peers
Comparison fields: 5 of 73
- Information Systems 276
- Management Information Systems 76
- Computer Networks and Communications 90
- Management of Technology and Innovation 24
- Strategy and Management 40
Countries citing papers authored by Daniel Drescher
This map shows the geographic impact of Daniel Drescher'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 Drescher with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Drescher more than expected).
Fields of papers citing papers by Daniel Drescher
This network shows the impact of papers produced by Daniel Drescher. 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 Drescher. The network helps show where Daniel Drescher may publish in the future.
Co-authors
The 2 scholars most cited alongside Daniel Drescher, 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 | 2017 | 230 | |
| 2 | 2017 | 108 | |
| 3 | 2017 | 5 | |
| 4 | 2017 | 4 | |
| 5 | 2017 | 4 | |
| 6 | 2017 | 2 | |
| 7 | 1985 | 1 | |
| 8 | 1976 | 1 | |
| 9 | 2016 | 1 | |
| 10 | 2017 | 1 | |
| 11 | 2017 | 1 | |
| 12 | 2017 | 1 | |
| 13 | 2017 | 1 | |
| 14 | 2017 | 1 | |
| 15 | 2017 | 0 |
About Daniel Drescher
Daniel Drescher is a scholar working on Information Systems, Signal Processing, Spectroscopy, Cognitive Neuroscience and Computer Vision and Pattern Recognition, having authored 15 papers that have together received 361 indexed citations. Recurring topics across this work include Blockchain Technology Applications and Security (5 papers), Peer-to-Peer Network Technologies (1 paper), Blind Source Separation Techniques (1 paper), Image and Signal Denoising Methods (1 paper), Cloud Computing and Resource Management (1 paper), Extraction and Separation Processes (1 paper), Spam and Phishing Detection (1 paper) and EEG and Brain-Computer Interfaces (1 paper). The work is most often cited by research in Information Systems (276 citations), Management Information Systems (76 citations), Computer Networks and Communications (90 citations), Management of Technology and Innovation (24 citations) and Strategy and Management (40 citations). Daniel Drescher has collaborated with scholars based in Germany. Frequent co-authors include Hermann Hinrichs and Arno Behr. Their work appears in journals such as Chemical Engineering & Technology, Methods of Information in Medicine, Klinische Neurophysiologie, CERN Document Server (European Organization for Nuclear Research) and Apress eBooks.
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.