Daniel Faensen
Impact in
- Modeling and Simulation top 10%
-
- Hepatitis C virus research
Papers in
-
- Data-Driven Disease Surveillance 6
- Influenza Virus Research Studies 3
- Pneumonia and Respiratory Infections 2
-
- Advanced Database Systems and Queries 4
- Co-authors
- Gérard Krause (5 shared papers)A Ammon (4 shared papers)Ruth Offergeld (3 shared papers)Osamah Hamouda (3 shared papers)H. Claus (3 shared papers)Annika Hinze (4 shared papers)Klaudia Porten (2 shared papers)Thomas Breuer (2 shared papers)
- Journals
- Eurosurveillance (4 papers)Emerging infectious diseases (2 papers)Journal of Comparative Physiology A (1 paper)Journal of Public Health Management and Practice (1 paper)PLoS ONE (1 paper)
- Partner nations
- GermanySwedenUnited States
In The Last Decade
Daniel Faensen
19 papers receiving 453 citations
Peers
Comparison fields: 5 of 84
- Modeling and Simulation 29
- Hepatology 40
- Management of Technology and Innovation 43
- Infectious Diseases 88
- Epidemiology 151
Countries citing papers authored by Daniel Faensen
This map shows the geographic impact of Daniel Faensen'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 Faensen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Faensen more than expected).
Fields of papers citing papers by Daniel Faensen
This network shows the impact of papers produced by Daniel Faensen. 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 Faensen. The network helps show where Daniel Faensen may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Faensen, 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 | 2006 | 91 | |
| 2 | 2007 | 82 | |
| 3 | 2005 | 76 | |
| 4 | 2010 | 39 | |
| 5 | 2001 | 37 | |
| 6 | 2000 | 31 | |
| 7 | 1999 | 24 | |
| 8 | 2006 | 16 | |
| 9 | 2005 | 15 | |
| 10 | 1999 | 14 | |
| 11 | 2011 | 12 | |
| 12 | 2016 | 10 | |
| 13 | 2004 | 10 | |
| 14 | 2009 | 9 | |
| 15 | 2004 | 8 | |
| 16 | 1998 | 5 | |
| 17 | Building Infrastructures for Digital Libraries | 2001 | 3 |
| 18 | 2000 | 1 | |
| 19 | 2006 | 1 |
About Daniel Faensen
Daniel Faensen is a scholar working on Epidemiology, Computer Networks and Communications, General Health Professions, Cellular and Molecular Neuroscience and Health, having authored 19 papers that have together received 484 indexed citations. Recurring topics across this work include Data-Driven Disease Surveillance (6 papers), Advanced Database Systems and Queries (4 papers), Influenza Virus Research Studies (3 papers), Health and Medical Studies (3 papers), Pneumonia and Respiratory Infections (2 papers), Insect and Arachnid Ecology and Behavior (2 papers), Data Management and Algorithms (2 papers) and Vaccine Coverage and Hesitancy (2 papers). The work is most often cited by research in Modeling and Simulation (29 citations), Hepatology (40 citations), Management of Technology and Innovation (43 citations), Infectious Diseases (88 citations) and Epidemiology (151 citations). Daniel Faensen has collaborated with scholars based in Germany, Sweden and United States. Frequent co-authors include Gérard Krause, A Ammon, Ruth Offergeld, Osamah Hamouda, H. Claus, Annika Hinze, Klaudia Porten, Thomas Breuer, Doris Altmann and Justus Benzler. Their work appears in journals such as Eurosurveillance, Emerging infectious diseases, Journal of Comparative Physiology A, Journal of Public Health Management and Practice and PLoS ONE.
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.