Daniel P. Sweat

639 citations
19 papers · 558 · h-index 12

Impact in

Papers in

Daniel P. Sweat

18 papers receiving 553 citations

Peers

Daniel P. Sweat
Comparison fields: 5 of 62
  • Polymers and Plastics 202
  • Surfaces, Coatings and Films 80
  • Organic Chemistry 195
  • Toxicology 22
  • Materials Chemistry 239
Replace Joseph G. Manion with:
Joseph G. Manion Canada
Mahesh P. Bhatt United States
Clayton Mauldin United States
Weiqing Shi China
M. Shimomura Japan
Adam Nunns United Kingdom
Jongheon Kwak South Korea
J. Beckmann Germany
Austin P. Lane United States
R. Spindler United States
Daniel P. Sweat relative to Joseph G. Manion Canada Joseph G. Manion's profile →
Citations per field
00.5×7.8×
Joseph G. Manion · 1×
Citations per year

Countries citing papers authored by Daniel P. Sweat

Since Specialization
Citations

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

Fields of papers citing papers by Daniel P. Sweat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2009202
2 201463
3 201439
4 201936
5 200834
6 201331
7 201628
8 201627
9 201324
10 201320
11 201120
12 201417
13 20099
14 20112
15 20242
16 20101
17 20241
18 20171
19 20241

About Daniel P. Sweat

Daniel P. Sweat is a scholar working on Organic Chemistry, Electrical and Electronic Engineering, Materials Chemistry, Surfaces, Coatings and Films and Toxicology, having authored 19 papers that have together received 558 indexed citations. Recurring topics across this work include Advanced Polymer Synthesis and Characterization (7 papers), Block Copolymer Self-Assembly (7 papers), Advancements in Photolithography Techniques (4 papers), Machine Learning in Materials Science (4 papers), Organoselenium and organotellurium chemistry (3 papers), Organic Electronics and Photovoltaics (2 papers), Polymer Surface Interaction Studies (2 papers) and Organic Chemistry Cycloaddition Reactions (2 papers). The work is most often cited by research in Polymers and Plastics (202 citations), Surfaces, Coatings and Films (80 citations), Organic Chemistry (195 citations), Toxicology (22 citations) and Materials Chemistry (239 citations). Daniel P. Sweat has collaborated with scholars based in United States, South Korea and Egypt. Frequent co-authors include Padma Gopalan, Myungwoong Kim, Chad E. Stephens, Jean‐Luc Brédas, Stephen Barlow, John R. Reynolds, Bernard Kippelen, Andrew G. Rinzler, Xiaohong Zhang and Stefan Ellinger. Their work appears in journals such as Langmuir, Macromolecules, Synthesis, Journal of Medicinal Chemistry and Journal of Polymer Science Part A Polymer Chemistry.

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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