David P. Long

24 papers receiving 1.5k citations

Peers

David P. Long
Comparison fields: 5 of 91
  • Catalysis 160
  • Process Chemistry and Technology 59
  • Electrochemistry 82
  • Electrical and Electronic Engineering 682
  • Materials Chemistry 526
Replace Ayako Hashimoto with:
Ayako Hashimoto Japan
Canhui Wang United States
Shigeo Arai Japan
Sergey Pogodin Israel
Isabelle Rodríguez Spain
Suklyun Hong South Korea
Fredrik S. Hage United Kingdom
Benedetta Marmiroli Austria
Víctor Rico Spain
Fan Bai China
David P. Long relative to Ayako Hashimoto Japan Ayako Hashimoto's profile →
Citations per field
00.5×5.9×
Ayako Hashimoto · 1×
Citations per year

Countries citing papers authored by David P. Long

Since Specialization
Citations

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

Fields of papers citing papers by David P. Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001346
2 2005311
3 200699
4 200097
5 199696
6 200490
7 200079
8 199665
9 200451
10 200544
11 200143
12 200440
13 199937
14 200035
15 200529
16 200623
17 200721
18 199619
19 200015
20 199412

About David P. Long

David P. Long is a scholar working on Materials Chemistry, Electrical and Electronic Engineering, Biomedical Engineering, Organic Chemistry and Catalysis, having authored 26 papers that have together received 1.6k indexed citations. Recurring topics across this work include Molecular Junctions and Nanostructures (7 papers), Phase Equilibria and Thermodynamics (4 papers), Catalytic Processes in Materials Science (4 papers), Bird parasitology and diseases (3 papers), Organometallic Complex Synthesis and Catalysis (3 papers), Diamond and Carbon-based Materials Research (3 papers), Avian ecology and behavior (3 papers) and Quantum Dots Synthesis And Properties (2 papers). The work is most often cited by research in Catalysis (160 citations), Process Chemistry and Technology (59 citations), Electrochemistry (82 citations), Electrical and Electronic Engineering (682 citations) and Materials Chemistry (526 citations). David P. Long has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include James J. Watkins, Jason M. Blackburn, Albertina Cabañas, Patricia A. Bianconi, James G. Kushmerick, R. Shashidhar, James M. Tour, Yuxing Yao, Amy Szuchmacher Blum and Charles H. Patterson. Their work appears in journals such as Journal of the American Chemical Society, Advanced Materials, Journal of the American Academy of Dermatology, Chemistry of Materials and Ornithological Applications.

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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