Daniel Fleischer

526 total citations
13 papers, 105 citations indexed

About

Daniel Fleischer is a scholar working on Health, Toxicology and Mutagenesis, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Daniel Fleischer has authored 13 papers receiving a total of 105 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Health, Toxicology and Mutagenesis, 3 papers in Control and Systems Engineering and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Daniel Fleischer's work include Urban Green Space and Health (4 papers), Human Motion and Animation (3 papers) and Data Visualization and Analytics (3 papers). Daniel Fleischer is often cited by papers focused on Urban Green Space and Health (4 papers), Human Motion and Animation (3 papers) and Data Visualization and Analytics (3 papers). Daniel Fleischer collaborates with scholars based in Germany, United States and Switzerland. Daniel Fleischer's co-authors include Ulrik Brandes, Aruni Bhatnagar, Daniel W. Riggs, Joy L. Hart, Ray Yeager, Kandi L. Walker, Rachel J. Keith, Christopher Chandler, Alessandro Ossola and Thomas Puppe and has published in prestigious journals such as The Science of The Total Environment, American Journal of Epidemiology and Environment International.

In The Last Decade

Daniel Fleischer

11 papers receiving 94 citations

Peers

Daniel Fleischer
Comparison fields: 5 of 46
  • Demography 40
  • General Health Professions 39
  • Health, Toxicology and Mutagenesis 23
  • Computer Vision and Pattern Recognition 13
  • Computer Networks and Communications 11
Replace Charilaos Skiadas with:
Charilaos Skiadas Greece
Amy H. Herring United States
Dimitrina S. Dimitrova United Kingdom
Caroline Hillairet France
John R. Campbell Japan
Ali Akbar Jafari Iran
Rafael Mendoza‐Arriaga United States
Lorenzo Trapani United Kingdom
Jiaxin Gu China
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Citations per field, relative to Daniel Fleischer
Daniel Fleischer · 1×
Citations per year, relative to Daniel Fleischer
Daniel Fleischer · 1×

Countries citing papers authored by Daniel Fleischer

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Fleischer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Fleischer

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Fleischer. A scholar is included among the top collaborators of Daniel Fleischer based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel Fleischer. Daniel Fleischer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
# Work Indexed citations
1 0
2 3
3 12
4 1
5 3
6 8
7 41
8 13
9 3
10 11
11 6
12
Dynamic spectral layout of small worlds
1
13 3

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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