Daniel O. Blackwood

579 total citations
15 papers, 468 citations indexed

About

Daniel O. Blackwood is a scholar working on Pharmaceutical Science, Computational Mechanics and Mechanical Engineering. According to data from OpenAlex, Daniel O. Blackwood has authored 15 papers receiving a total of 468 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Pharmaceutical Science, 7 papers in Computational Mechanics and 7 papers in Mechanical Engineering. Recurrent topics in Daniel O. Blackwood's work include Drug Solubulity and Delivery Systems (7 papers), Granular flow and fluidized beds (7 papers) and Injection Molding Process and Properties (6 papers). Daniel O. Blackwood is often cited by papers focused on Drug Solubulity and Delivery Systems (7 papers), Granular flow and fluidized beds (7 papers) and Injection Molding Process and Properties (6 papers). Daniel O. Blackwood collaborates with scholars based in United States, United Kingdom and India. Daniel O. Blackwood's co-authors include Mark A. Polizzi, Howard W. Ward, Matthew P. Mullarney, Rajesh N. Davé, Pankaj Doshi, Hugh Verrier, Eva Siegmann, Peter Toson, Slobodan Šašić and Angela Liu and has published in prestigious journals such as Industrial & Engineering Chemistry Research, International Journal of Pharmaceutics and Journal of Pharmaceutical Sciences.

In The Last Decade

Daniel O. Blackwood

15 papers receiving 459 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 O. Blackwood United States 10 170 161 131 121 71 15 468
Fien De Leersnyder Belgium 13 232 1.4× 240 1.5× 233 1.8× 177 1.5× 84 1.2× 13 604
Maunu Toiviainen Finland 11 203 1.2× 195 1.2× 177 1.4× 126 1.0× 66 0.9× 20 522
James V. Scicolone United States 13 224 1.3× 210 1.3× 177 1.4× 82 0.7× 37 0.5× 28 549
Patrick Wahl Austria 15 87 0.5× 131 0.8× 131 1.0× 211 1.7× 139 2.0× 23 571
Poul Bertelsen Denmark 12 146 0.9× 140 0.9× 193 1.5× 132 1.1× 46 0.6× 20 477
Andrés D. Román-Ospino United States 17 112 0.7× 218 1.4× 138 1.1× 307 2.5× 202 2.8× 34 663
M. Sebastian Escotet‐Espinoza United States 12 155 0.9× 193 1.2× 106 0.8× 61 0.5× 12 0.2× 17 455
Pirjo Tajarobi Sweden 14 156 0.9× 215 1.3× 287 2.2× 94 0.8× 15 0.2× 26 538
Juan G. Osorio United States 12 198 1.2× 159 1.0× 132 1.0× 59 0.5× 36 0.5× 14 497
Sarang Oka United States 11 257 1.5× 186 1.2× 185 1.4× 40 0.3× 13 0.2× 20 467

Countries citing papers authored by Daniel O. Blackwood

Since Specialization
Citations

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

Fields of papers citing papers by Daniel O. Blackwood

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel O. Blackwood

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

All Works

15 of 15 papers shown
1.
Blackwood, Daniel O., et al.. (2023). Understanding the role of magnesium stearate in lowering punch sticking propensity of drugs during compression. International Journal of Pharmaceutics. 640. 123016–123016. 9 indexed citations
2.
Verrier, Hugh, et al.. (2022). Digital twin of a continuous direct compression line for drug product and process design using a hybrid flowsheet modelling approach. International Journal of Pharmaceutics. 628. 122336–122336. 38 indexed citations
3.
Doshi, Pankaj, et al.. (2022). Development of a predictive model for gravimetric powder feeding from an API-rich materials properties library. International Journal of Pharmaceutics. 625. 122071–122071. 7 indexed citations
4.
Blackwood, Daniel O., et al.. (2022). Magnesium stearate surface coverage on tablets and drug crystals: Insights from SEM-EDS elemental mapping. International Journal of Pharmaceutics. 630. 122422–122422. 13 indexed citations
5.
Tirumkudulu, Mahesh S., et al.. (2022). Experimental Evaluation of the Impact of Rapid Environmental Changes on Stress Distribution in Tablet Coatings. AAPS PharmSciTech. 24(1). 30–30. 2 indexed citations
6.
Tirumkudulu, Mahesh S., et al.. (2022). Impact of Rapid Environmental Changes on Stress Distribution in Tablet Coatings: Simulations. AAPS PharmSciTech. 24(1). 24–24. 1 indexed citations
7.
Kimber, James A., et al.. (2021). Continuous Mixing Technology: Characterization of a Vertical Mixer Using Residence Time Distribution. Journal of Pharmaceutical Sciences. 110(7). 2694–2702. 12 indexed citations
8.
Toson, Peter, Pankaj Doshi, Eva Siegmann, et al.. (2021). Continuous mixing technology: Validation of a DEM model. International Journal of Pharmaceutics. 608. 121065–121065. 21 indexed citations
9.
Toson, Peter, Eva Siegmann, Johannes Khinast, et al.. (2018). Detailed modeling and process design of an advanced continuous powder mixer. International Journal of Pharmaceutics. 552(1-2). 288–300. 71 indexed citations
10.
Blackwood, Daniel O., et al.. (2018). Quantifying and reducing powder shear sensitivity when manufacturing capsules with lubricants. Drug Development and Industrial Pharmacy. 44(8). 1350–1356. 2 indexed citations
11.
Ketterhagen, William R., et al.. (2018). Computational approaches to predict the effect of shear during processing of lubricated pharmaceutical blends. Powder Technology. 335. 427–439. 14 indexed citations
12.
Šašić, Slobodan, et al.. (2014). Detailed analysis of the online near-infrared spectra of pharmaceutical blend in a rotary tablet press feed frame. Journal of Pharmaceutical and Biomedical Analysis. 103. 73–79. 41 indexed citations
13.
Ward, Howard W., et al.. (2013). Monitoring blend potency in a tablet press feed frame using near infrared spectroscopy. Journal of Pharmaceutical and Biomedical Analysis. 80. 18–23. 74 indexed citations
14.
Muteki, Koji, Daniel O. Blackwood, Brent J. Maranzano, et al.. (2013). Mixture Component Prediction Using Iterative Optimization Technology (Calibration-Free/Minimum Approach). Industrial & Engineering Chemistry Research. 52(35). 12258–12268. 36 indexed citations
15.
Mullarney, Matthew P., et al.. (2011). Applying dry powder coatings to pharmaceutical powders using a comil for improving powder flow and bulk density. Powder Technology. 212(3). 397–402. 127 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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