Daniel Short

635 citations
16 papers · 538 indexed · h-index 12

Daniel Short

16 papers receiving 518 citations

Peers

Daniel Short
Comparison fields: 5 of 35
  • Fluid Flow and Transfer Processes 316
  • Automotive Engineering 385
  • Health, Toxicology and Mutagenesis 221
  • Atmospheric Science 136
  • Computational Mechanics 71
Replace Diep Vu with:
Diep Vu United States
Mark Villela United States
Zhongqing Zheng United States
Jeff J. Jetter Japan
Richard Stradling Netherlands
Soheil Zeraati-Rezaei United Kingdom
Chun Guan China
Dardiotis Christos Austria
Jean-Yves Favez Switzerland
Bruce Campbell United Kingdom
Daniel Short relative to Diep Vu United States Diep Vu's profile →
Citations per field
00.5×1.6×
Diep Vu · 1×
Citations per year

Countries citing papers authored by Daniel Short

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Short

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

16 of 16 papers shown
#Work
1 20176
2 20168
3 20159
4 201570
5 201514
6 201518
7 201517
8 2015105
9 20143
10 201449
11 2014114
12 201440
13 201413
14 201423
15 201318
16 201331

About Daniel Short

Daniel Short is a scholar working on Fluid Flow and Transfer Processes, Automotive Engineering, Health, Toxicology and Mutagenesis, Atmospheric Science and Materials Chemistry, having authored 16 papers that have together received 538 indexed citations. Recurring topics across this work include Vehicle emissions and performance (15 papers), Advanced Combustion Engine Technologies (11 papers), Air Quality and Health Impacts (7 papers), Catalytic Processes in Materials Science (7 papers), Atmospheric chemistry and aerosols (6 papers), Atmospheric aerosols and clouds (1 paper) and Biodiesel Production and Applications (1 paper). The work is most often cited by research in Fluid Flow and Transfer Processes (316 citations), Automotive Engineering (385 citations), Health, Toxicology and Mutagenesis (221 citations), Atmospheric Science (136 citations) and Computational Mechanics (71 citations). Daniel Short has collaborated with scholars based in United States and Greece. Frequent co-authors include Akua Asa-Awuku, Thomas D. Durbin, Diep Vu, Georgios Karavalakis, Robert Russell, Mark Villela, Heejung Jung, Kent C. Johnson, Maryam Hajbabaei and George Karavalakis. Their work appears in journals such as Environmental Science & Technology, Aerosol Science and Technology, SAE technical papers on CD-ROM/SAE technical paper series, SAE international journal of fuels and lubricants and Journal of Aerosol Science.

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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