Daniel Markl

90 papers receiving 2.2k citations

Peers

Daniel Markl
Comparison fields: 5 of 65
  • Pharmaceutical Science 376
  • Automotive Engineering 139
  • Analytical Chemistry 124
  • Computational Mechanics 202
  • Electrical and Electronic Engineering 399
Replace Jarkko Ketolainen with:
Jarkko Ketolainen Finland
Klaus Knop Germany
Johan Peter Boetker Denmark
Osmo K. Antikainen Finland
Markus Thommes Germany
David R. Ely United States
Julian Quodbach Germany
Jan Henrik Finke Germany
Rodolfo J. Romañach Puerto Rico
Gavin Reynolds United Kingdom
Daniel Markl relative to Jarkko Ketolainen Finland Jarkko Ketolainen's profile →
Citations per field
00.5×2×3.5×
Jarkko Ketolainen · 1×
Citations per year

Countries citing papers authored by Daniel Markl

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Markl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel Markl, 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 Daniel Markl Line = papers co-authored together Daniel Markl links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 93 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017327
2 2018125
3 202084
4 201683
5 201679
6 201771
7 202071
8 201761
9 202156
10 201355
11 201754
12 201451
13 201451
14 201750
15 202045
16 201543
17 201841
18 201839
19 202039
20 202039

About Daniel Markl

Daniel Markl is a scholar working on Pharmaceutical Science, Electrical and Electronic Engineering, Computational Mechanics, Biomedical Engineering and Automotive Engineering, having authored 93 papers that have together received 2.3k indexed citations. Recurring topics across this work include Terahertz technology and applications (29 papers), Drug Solubulity and Delivery Systems (12 papers), Optical Coherence Tomography Applications (12 papers), Granular flow and fluidized beds (11 papers), Additive Manufacturing and 3D Printing Technologies (4 papers), Spectroscopy and Chemometric Analyses (2 papers), Analytical Methods in Pharmaceuticals (1 paper) and X-ray Diffraction in Crystallography (1 paper). The work is most often cited by research in Pharmaceutical Science (376 citations), Automotive Engineering (139 citations), Analytical Chemistry (124 citations), Computational Mechanics (202 citations) and Electrical and Electronic Engineering (399 citations). Daniel Markl has collaborated with scholars based in United Kingdom, Austria and Finland. Frequent co-authors include J. Axel Zeitler, Johannes Khinast, Prince Bawuah, Daniel Goodwin, Thomas Rades, Patrick A.C. Gane, Cathy J. Ridgway, Stephan Sacher, Hungyen Lin and Yaochun Shen. Their work appears in journals such as International Journal of Pharmaceutics, Journal of Pharmaceutical Sciences, Chemical Engineering Science, International Journal of Pharmaceutics X and Pharmaceutical Research.

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.

Explore authors with similar magnitude of impact