Daniel Howard

537 citations
13 papers · 418 · h-index 9

Impact in

Papers in

Daniel Howard

13 papers receiving 400 citations

Peers

Daniel Howard
Comparison fields: 5 of 37
  • Automotive Engineering 342
  • Electrical and Electronic Engineering 299
  • Safety, Risk, Reliability and Quality 37
  • Statistics, Probability and Uncertainty 14
  • Spectroscopy 25
Replace Yi‐Hong Chung with:
Yi‐Hong Chung Taiwan
Jinlong Bai China
Chongye Chang China
Anudeep Mallarapu United States
Christoph Stangl Austria
Shichen Chen China
Carla Menale Italy
Christian Ellersdorfer Austria
Mukul Parmananda United States
Daniel Howard relative to Yi‐Hong Chung Taiwan Yi‐Hong Chung's profile →
Citations per field
00.5×6.3×
Yi‐Hong Chung · 1×
Citations per year

Countries citing papers authored by Daniel Howard

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Howard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Daniel Howard, 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 Howard Line = papers co-authored together Daniel Howard links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 202097
2 202258
3 202256
4 202053
5 202340
6 202240
7 202325
8 202220
9 202115
10 20244
11 20214
12 19563
13 20253

About Daniel Howard

Daniel Howard is a scholar working on Automotive Engineering, Electrical and Electronic Engineering, Building and Construction, Environmental Engineering and Spectroscopy, having authored 13 papers that have together received 418 indexed citations. Recurring topics across this work include Advanced Battery Technologies Research (8 papers), Advanced Battery Materials and Technologies (6 papers), Advancements in Battery Materials (6 papers), Building Energy and Comfort Optimization (3 papers), Combustion and Detonation Processes (2 papers), Aerogels and thermal insulation (2 papers), Oil and Gas Production Techniques (1 paper) and Wind and Air Flow Studies (1 paper). The work is most often cited by research in Automotive Engineering (342 citations), Electrical and Electronic Engineering (299 citations), Safety, Risk, Reliability and Quality (37 citations), Statistics, Probability and Uncertainty (14 citations) and Spectroscopy (25 citations). Daniel Howard has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Jonathan Ε. H. Buston, J. Gill, Jennifer X. Wen, Brian Cooper, Ahmed Abaza, Haodong Chen, Som Shrestha, Tianli Feng, Diana Hun and Mathieu Francoeur. Their work appears in journals such as Journal of Power Sources, Energy and Buildings, International Journal of Heat and Mass Transfer, Metals and International Journal of Thermal Sciences.

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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