Vikram K. Daga

434 total citations
9 papers, 392 citations indexed

About

Vikram K. Daga is a scholar working on Organic Chemistry, Materials Chemistry and Polymers and Plastics. According to data from OpenAlex, Vikram K. Daga has authored 9 papers receiving a total of 392 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Organic Chemistry, 7 papers in Materials Chemistry and 3 papers in Polymers and Plastics. Recurrent topics in Vikram K. Daga's work include Advanced Polymer Synthesis and Characterization (7 papers), Block Copolymer Self-Assembly (7 papers) and Machine Learning in Materials Science (2 papers). Vikram K. Daga is often cited by papers focused on Advanced Polymer Synthesis and Characterization (7 papers), Block Copolymer Self-Assembly (7 papers) and Machine Learning in Materials Science (2 papers). Vikram K. Daga collaborates with scholars based in United States. Vikram K. Daga's co-authors include James J. Watkins, Samuel P. Gido, Eric R. Anderson, Norman J. Wagner, Ying Lin, Matthew E. Helgeson, Ján Ilavský, Vijay R. Tirumala, Eric K. Lin and August W. Bosse and has published in prestigious journals such as Journal of the American Chemical Society, Nano Letters and Macromolecules.

In The Last Decade

Vikram K. Daga

9 papers receiving 378 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vikram K. Daga United States 7 273 205 113 82 59 9 392
Jennifer M. Saunders United Kingdom 12 120 0.4× 95 0.5× 123 1.1× 89 1.1× 94 1.6× 23 416
Yong‐Guen Yu South Korea 13 177 0.6× 240 1.2× 77 0.7× 57 0.7× 57 1.0× 21 395
Adam B. Burns United States 12 136 0.5× 189 0.9× 177 1.6× 142 1.7× 50 0.8× 20 407
Hyejun Jung South Korea 10 122 0.4× 183 0.9× 95 0.8× 50 0.6× 61 1.0× 20 339
Yue Gai United States 10 206 0.8× 215 1.0× 63 0.6× 50 0.6× 57 1.0× 14 404
Thomas Jakob Germany 6 162 0.6× 124 0.6× 211 1.9× 101 1.2× 102 1.7× 8 435
S. Corona-Galván United States 12 127 0.5× 228 1.1× 202 1.8× 29 0.4× 47 0.8× 15 412
Xiang‐Meng Jia China 10 264 1.0× 126 0.6× 117 1.0× 217 2.6× 36 0.6× 16 443
Caroline Miesch United States 7 298 1.1× 213 1.0× 82 0.7× 74 0.9× 81 1.4× 10 422
J. Nedbal Czechia 9 132 0.5× 50 0.2× 230 2.0× 31 0.4× 92 1.6× 37 374

Countries citing papers authored by Vikram K. Daga

Since Specialization
Citations

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

Fields of papers citing papers by Vikram K. Daga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vikram K. Daga. 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 Vikram K. Daga. The network helps show where Vikram K. Daga may publish in the future.

Co-authorship network of co-authors of Vikram K. Daga

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

All Works

9 of 9 papers shown
1.
Anderson, Eric R., Vikram K. Daga, Samuel P. Gido, & James J. Watkins. (2020). Hydrogen bond mediated self‐assembly of two diblock copolymers. Journal of Polymer Science. 58(21). 3061–3068. 4 indexed citations
2.
Peng, Huagen, Vikram K. Daga, Ying Lin, et al.. (2015). Distributions of a Linear Homopolymer Additive in an Ordered Block Copolymer Matrix As Quantified by Small-Angle Neutron Scattering. Macromolecules. 48(20). 7574–7584. 2 indexed citations
3.
Daga, Vikram K., Eric R. Anderson, Samuel P. Gido, & James J. Watkins. (2011). Hydrogen Bond Assisted Assembly of Well-Ordered Polyhedral Oligomeric Silsesquioxane–Block Copolymer Composites. Macromolecules. 44(17). 6793–6799. 47 indexed citations
4.
Daga, Vikram K., Evan L. Schwartz, Jin‐Kyun Lee, et al.. (2011). Photoinduced Ordering of Block Copolymers. Nano Letters. 11(3). 1153–1160. 17 indexed citations
5.
Lin, Ying, Vikram K. Daga, Eric R. Anderson, Samuel P. Gido, & James J. Watkins. (2011). Nanoparticle-Driven Assembly of Block Copolymers: A Simple Route to Ordered Hybrid Materials. Journal of the American Chemical Society. 133(17). 6513–6516. 149 indexed citations
7.
Tirumala, Vijay R., Vikram K. Daga, August W. Bosse, et al.. (2008). Well-Ordered Polymer Melts with 5 nm Lamellar Domains from Blends of a Disordered Block Copolymer and a Selectively Associating Homopolymer of Low or High Molar Mass. Macromolecules. 41(21). 7978–7985. 48 indexed citations
8.
Daga, Vikram K., Matthew E. Helgeson, & Norman J. Wagner. (2006). Electrospinning of neat and laponite‐filled aqueous poly(ethylene oxide) solutions. Journal of Polymer Science Part B Polymer Physics. 44(11). 1608–1617. 31 indexed citations
9.
Daga, Vikram K. & Norman J. Wagner. (2006). Linear viscoelastic master curves of neat and laponite-filled poly(ethylene oxide)–water solutions. Rheologica Acta. 45(6). 813–824. 49 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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