Daniel O. Blackwood

579 citations
15 papers · 468 indexed · h-index 10

Daniel O. Blackwood

15 papers receiving 459 citations

Peers

Daniel O. Blackwood
Comparison fields: 5 of 62
  • Pharmaceutical Science 131
  • Analytical Chemistry 121
  • Biophysics 71
  • Computational Mechanics 170
  • Statistics, Probability and Uncertainty 36
Replace Maunu Toiviainen with:
Maunu Toiviainen Finland
Patrick Wahl Austria
James V. Scicolone United States
Aditya U. Vanarase United States
Andrés D. Román-Ospino United States
Poul Bertelsen Denmark
Fien De Leersnyder Belgium
Pirjo Tajarobi Sweden
M. Sebastian Escotet‐Espinoza United States
Juan G. Osorio United States
Daniel O. Blackwood relative to Maunu Toiviainen Finland Maunu Toiviainen's profile →
Citations per field
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Maunu Toiviainen · 1×
Citations per year

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

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

All Works

15 of 15 papers shown
#Work
1 20239
2 202238
3 20222
4 20227
5 202213
6 20221
7 202112
8 202121
9 201871
10 20182
11 201814
12 201441
13 201374
14 201336
15 2011127

About Daniel O. Blackwood

Daniel O. Blackwood is a scholar working on Pharmaceutical Science, Computational Mechanics and Analytical Chemistry, having authored 15 papers that have together received 468 indexed citations. Recurring topics across this work include Drug Solubulity and Delivery Systems (7 papers), Granular flow and fluidized beds (7 papers), Injection Molding Process and Properties (6 papers), Mineral Processing and Grinding (3 papers), Spectroscopy and Chemometric Analyses (3 papers), Crystallization and Solubility Studies (2 papers), Pesticide Residue Analysis and Safety (2 papers) and Protein purification and stability (2 papers). The work is most often cited by research in Pharmaceutical Science (131 citations), Analytical Chemistry (121 citations) and Biophysics (71 citations). Daniel O. Blackwood has collaborated with scholars based in United States, United Kingdom and Austria. Frequent co-authors include Mark A. Polizzi, Howard W. Ward, Matthew P. Mullarney, Rajesh N. Davé, Pankaj Doshi, Hugh Verrier, Eva Siegmann, Dalibor Jajčević, Angela Liu and Peter Toson. Their work appears in journals such as International Journal of Pharmaceutics, AAPS PharmSciTech, Journal of Pharmaceutical and Biomedical Analysis, Powder Technology and Journal of Pharmaceutical Sciences.

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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