Daniel Markl

2.6k total citations
89 papers, 2.0k citations indexed

About

Daniel Markl is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering and Pharmaceutical Science. According to data from OpenAlex, Daniel Markl has authored 89 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Biomedical Engineering, 31 papers in Electrical and Electronic Engineering and 24 papers in Pharmaceutical Science. Recurrent topics in Daniel Markl's work include Terahertz technology and applications (27 papers), Drug Solubulity and Delivery Systems (23 papers) and Optical Coherence Tomography Applications (16 papers). Daniel Markl is often cited by papers focused on Terahertz technology and applications (27 papers), Drug Solubulity and Delivery Systems (23 papers) and Optical Coherence Tomography Applications (16 papers). Daniel Markl collaborates with scholars based in United Kingdom, Austria and Finland. Daniel Markl's co-authors include J. Axel Zeitler, Johannes Khinast, Prince Bawuah, Daniel Goodwin, Thomas Rades, Cathy J. Ridgway, Stephan Sacher, Patrick Gane, Hungyen Lin and Yaochun Shen and has published in prestigious journals such as Angewandte Chemie International Edition, Journal of Controlled Release and Physical Chemistry Chemical Physics.

In The Last Decade

Daniel Markl

81 papers receiving 2.0k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniel Markl United Kingdom 26 707 676 452 362 265 89 2.0k
Jarkko Ketolainen Finland 34 560 0.8× 1.2k 1.8× 427 0.9× 456 1.3× 599 2.3× 127 2.8k
Hajnalka Pataki Hungary 24 424 0.6× 372 0.6× 164 0.4× 338 0.9× 316 1.2× 58 1.5k
Amrit Paudel Austria 27 415 0.6× 1.5k 2.2× 160 0.4× 342 0.9× 671 2.5× 134 2.9k
Klaus Knop Germany 23 233 0.3× 577 0.9× 138 0.3× 350 1.0× 229 0.9× 48 1.4k
Brigitta Nagy Hungary 22 380 0.5× 356 0.5× 89 0.2× 331 0.9× 261 1.0× 51 1.4k
Atul Shukla Australia 27 202 0.3× 377 0.6× 763 1.7× 214 0.6× 565 2.1× 78 1.8k
Mike Tobyn United Kingdom 28 269 0.4× 953 1.4× 146 0.3× 178 0.5× 390 1.5× 85 2.0k
Nora Anne Urbanetz Germany 25 243 0.3× 652 1.0× 303 0.7× 122 0.3× 225 0.8× 78 1.7k
Osmo Antikainen Finland 24 193 0.3× 663 1.0× 76 0.2× 405 1.1× 283 1.1× 82 1.7k
Zhenqi Shi United States 20 236 0.3× 162 0.2× 363 0.8× 507 1.4× 367 1.4× 80 1.2k

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-authorship network of co-authors of Daniel Markl

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Markl. A scholar is included among the top collaborators of Daniel Markl 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 Markl. Daniel Markl is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Carroll, Mark, James Mann, Adrian Davis, et al.. (2025). Particle-based investigation of excipients stability: the effect of storage conditions on moisture content and swelling. 2(2). 369–386. 2 indexed citations
3.
Ibrahim, I.A., et al.. (2024). A hybrid system of mixture models for the prediction of particle size and shape, density, and flowability of pharmaceutical powder blends. International Journal of Pharmaceutics X. 8. 100298–100298.
4.
Besenhard, Maximilian O., et al.. (2024). A continuous micro-feeder for cohesive pharmaceutical materials. International Journal of Pharmaceutics. 662. 124528–124528. 1 indexed citations
5.
Carroll, Martin, et al.. (2024). Semi-crystalline materials for pharmaceutical fused filament fabrication: Dissolution and porosity. International Journal of Pharmaceutics. 652. 123816–123816.
6.
Armstrong, John A., et al.. (2024). Flexible modelling of the dissolution performance of directly compressed tablets. International Journal of Pharmaceutics. 656. 124084–124084. 9 indexed citations
7.
Ward, Martin R., Olof Gutowski, Jakub Drnec, et al.. (2024). Spatial and Temporal Visualization of Polymorphic Transformations in Pharmaceutical Tablets. Angewandte Chemie. 137(2). 1 indexed citations
8.
Markl, Daniel, et al.. (2023). Observation of Spurious Spectral Features in Mixed-Powder Compressed Pellets Measured by Terahertz Time-Domain Spectroscopy. IEEE Transactions on Terahertz Science and Technology. 13(5). 569–572. 4 indexed citations
9.
Markl, Daniel, et al.. (2023). Investigating the effect of sintering rate and solvent type on the liquid transport kinetics of α-alumina powder compacts. Chemical Engineering Science. 284. 119414–119414. 3 indexed citations
10.
Khadra, Ibrahim, et al.. (2022). Formulation-dependent stability mechanisms affecting dissolution performance of directly compressed griseofulvin tablets. International Journal of Pharmaceutics. 631. 122473–122473. 11 indexed citations
11.
Naftaly, Mira, et al.. (2022). Polymer Pellet Fabrication for Accurate THz-TDS Measurements. Applied Sciences. 12(7). 3475–3475. 16 indexed citations
12.
Pitt, Kendal, et al.. (2020). Quantification of swelling characteristics of pharmaceutical particles. International Journal of Pharmaceutics. 590. 119903–119903. 37 indexed citations
13.
Naftaly, Mira, et al.. (2020). Measuring Open Porosity of Porous Materials Using THz-TDS and an Index-Matching Medium. Sensors. 20(11). 3120–3120. 19 indexed citations
14.
Markl, Daniel, Prince Bawuah, Anssi-Pekka Karttunen, et al.. (2020). Simultaneous investigation of the liquid transport and swelling performance during tablet disintegration. International Journal of Pharmaceutics. 584. 119380–119380. 43 indexed citations
15.
Faulhammer, Eva, et al.. (2019). Predicting capsule fill weight from in-situ powder density measurements using terahertz reflection technology. International Journal of Pharmaceutics X. 1. 100004–100004. 7 indexed citations
16.
Markl, Daniel, Liam Blunt, Sachin K. Korde, et al.. (2019). Hot-melt extrusion process impact on polymer choice of glyburide solid dispersions: The effect of wettability and dissolution. International Journal of Pharmaceutics. 559. 245–254. 31 indexed citations
17.
Faulhammer, Eva, et al.. (2018). Measuring bulk density variations in a moving powder bed via terahertz in-line sensing. Powder Technology. 344. 152–160. 16 indexed citations
18.
Markl, Daniel, Cathy J. Ridgway, Anssi-Pekka Karttunen, et al.. (2018). Resolving the rapid water absorption of porous functionalised calcium carbonate powder compacts by terahertz pulsed imaging. Process Safety and Environmental Protection. 132. 1082–1090. 37 indexed citations
19.
Markl, Daniel, Johan Bøtker, Prince Bawuah, et al.. (2018). Characterisation of pore structures of pharmaceutical tablets: A review. International Journal of Pharmaceutics. 538(1-2). 188–214. 116 indexed citations
20.
Ruggiero, Michael T., Eric Ofosu Kissi, Juraj Šibík, et al.. (2017). The significance of the amorphous potential energy landscape for dictating glassy dynamics and driving solid-state crystallisation. Physical Chemistry Chemical Physics. 19(44). 30039–30047. 55 indexed citations

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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