Daniel A. Torelli

1.7k citations
17 papers · 1.5k · h-index 13

Impact in

Papers in

Daniel A. Torelli

17 papers receiving 1.5k citations

Peers

Daniel A. Torelli
Comparison fields: 5 of 57
  • Renewable Energy, Sustainability and the Environment 1.2k
  • Catalysis 417
  • Process Chemistry and Technology 114
  • Electrochemistry 132
  • Materials Chemistry 746
Replace João R. C. Junqueira with:
João R. C. Junqueira Germany
Sudarshan Vijay United States
Verena Streibel Germany
Tej S. Choksi Singapore
Felix T. Haase Germany
Roberto Schimmenti United States
Chuanyi Jia China
Shaoqing Liu China
Megan N. Jackson United States
Marko Melander Finland
Daniel A. Torelli relative to João R. C. Junqueira Germany João R. C. Junqueira's profile →
Citations per field
00.5×10×15×20×22.8×
João R. C. Junqueira · 1×
Citations per year

Countries citing papers authored by Daniel A. Torelli

Since Specialization
Citations

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

Fields of papers citing papers by Daniel A. Torelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2017345
2 2016275
3 2012126
4 2016111
5 2014106
6 2013100
7 201892
8 201787
9 201484
10 201382
11 201874
12 201914
13 201212
14 201310
15 201710
16 20139
17 20246

About Daniel A. Torelli

Daniel A. Torelli is a scholar working on Renewable Energy, Sustainability and the Environment, Electrical and Electronic Engineering, Materials Chemistry, Catalysis and Electrochemistry, having authored 17 papers that have together received 1.5k indexed citations. Recurring topics across this work include CO2 Reduction Techniques and Catalysts (7 papers), Electrocatalysts for Energy Conversion (7 papers), Advanced Photocatalysis Techniques (5 papers), Electrochemical Analysis and Applications (4 papers), Ionic liquids properties and applications (3 papers), TiO2 Photocatalysis and Solar Cells (2 papers), Catalytic Processes in Materials Science (2 papers) and Chalcogenide Semiconductor Thin Films (2 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (1.2k citations), Catalysis (417 citations), Process Chemistry and Technology (114 citations), Electrochemistry (132 citations) and Materials Chemistry (746 citations). Daniel A. Torelli has collaborated with scholars based in United States, United Kingdom and Denmark. Frequent co-authors include Nathan S. Lewis, Thomas J. Meyer, Alnald Javier, Manuel P. Soriaga, Bruce S. Brunschwig, Sonja A. Francis, Kyle D. Cummins, Dennis L. Ashford, Kenneth Hanson and Thomas F. Jaramillo. Their work appears in journals such as Journal of the American Chemical Society, ACS Energy Letters, Chemistry of Materials, Journal of Electroanalytical Chemistry and ACS Catalysis.

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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