J. Eggers

22 papers receiving 447 citations

Peers

J. Eggers
Comparison fields: 5 of 84
  • Signal Processing 126
  • Filtration and Separation 21
  • Computational Mechanics 107
  • Renewable Energy, Sustainability and the Environment 66
  • Cognitive Neuroscience 76
Replace R. N. Ponnalagu with:
R. N. Ponnalagu India
Jie Cui China
Kunpeng Yu China
Jian W. Du China
R P B Costa-Félix Brazil
Xiao Tan China
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Countries citing papers authored by J. Eggers

Since Specialization
Citations

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

Fields of papers citing papers by J. Eggers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside J. Eggers, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with J. Eggers Line = papers co-authored together J. Eggers links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005140
2 2007106
3 201653
4 200849
5 202224
6 200817
7 20159
8 20118
9 20188
10 20027
11
The prognostic impact of the stroke unit care versus conventional care in treatment of patients with transient ischemic attack: a prospective population-based German study.
20137
12 20197
13 20095
14 20225
15 20165
16 20094
17 20144
18 20133
19 20072
20 20172

About J. Eggers

J. Eggers is a scholar working on Biomedical Engineering, Pulmonary and Respiratory Medicine, Epidemiology, Mechanical Engineering and Renewable Energy, Sustainability and the Environment, having authored 22 papers that have together received 467 indexed citations. Recurring topics across this work include Nanofluid Flow and Heat Transfer (8 papers), Cerebrovascular and Carotid Artery Diseases (5 papers), Solar Thermal and Photovoltaic Systems (4 papers), Acute Ischemic Stroke Management (3 papers), Solar-Powered Water Purification Methods (3 papers), Crystallization and Solubility Studies (3 papers), Electrohydrodynamics and Fluid Dynamics (2 papers) and Bladder and Urothelial Cancer Treatments (2 papers). The work is most often cited by research in Signal Processing (126 citations), Filtration and Separation (21 citations), Computational Mechanics (107 citations), Renewable Energy, Sustainability and the Environment (66 citations) and Cognitive Neuroscience (76 citations). J. Eggers has collaborated with scholars based in Germany, Switzerland and Netherlands. Frequent co-authors include Marco Mazzotti, Stephan Kabelac, Volkmar Hamacher, Henning Puder, Josef Chalupper, Helen Niemeyer, Stephan J. Schreiber, José M. Valdueza, Christine Matthis and Mohamed Al‐Khaled. Their work appears in journals such as Chemical Engineering Science, Applied Thermal Engineering, Ultraschall in der Medizin - European Journal of Ultrasound, The Thoracic and Cardiovascular Surgeon and American Journal of Neuroradiology.

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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