Nicholas Good

71 papers receiving 2.5k citations

Peers

Nicholas Good
Comparison fields: 5 of 120
  • Energy Engineering and Power Technology 218
  • Health, Toxicology and Mutagenesis 712
  • Pollution 349
  • Atmospheric Science 470
  • Building and Construction 344
Replace Daniel J. Zimmerle with:
Daniel J. Zimmerle United States
Simon John Perry United Kingdom
Domenico Mazzeo Italy
Hooman Farzaneh Japan
Miguel Centeno Brito Portugal
Zhiyong Tian China
Gilbert M. Masters United States
Jianjun Xia China
Nicholas Good relative to Daniel J. Zimmerle United States Daniel J. Zimmerle's profile →
Citations per field
00.5×2×4×6×8.5×
Daniel J. Zimmerle · 1×
Citations per year

Countries citing papers authored by Nicholas Good

Since Specialization
Citations

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

Fields of papers citing papers by Nicholas Good

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017229
2 2017173
3 2015164
4 201499
5 201898
6 200993
7 201785
8 201980
9 201577
10 201975
11 202074
12 201867
13 201865
14 201863
15 201563
16 201259
17 201559
18 201356
19 201555
20 201053

About Nicholas Good

Nicholas Good is a scholar working on Health, Toxicology and Mutagenesis, Pollution, Building and Construction, Electrical and Electronic Engineering and Renewable Energy, Sustainability and the Environment, having authored 71 papers that have together received 2.6k indexed citations. Recurring topics across this work include Smart Grid Energy Management (31 papers), Air Quality and Health Impacts (24 papers), Energy and Environment Impacts (19 papers), Integrated Energy Systems Optimization (17 papers), Building Energy and Comfort Optimization (12 papers), Microgrid Control and Optimization (12 papers), Atmospheric chemistry and aerosols (9 papers) and Electric Vehicles and Infrastructure (9 papers). The work is most often cited by research in Energy Engineering and Power Technology (218 citations), Health, Toxicology and Mutagenesis (712 citations), Pollution (349 citations), Atmospheric Science (470 citations) and Building and Construction (344 citations). Nicholas Good has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Pierluigi Mancarella, Eduardo A. Martínez Ceseña, Lingxi Zhang, Keith A. Ellis, Alejandro Navarro-Espinosa, John Volckens, Jennifer L. Peel, Efthymios Karangelos, Christian L’Orange and Gordon B. McFiggans. Their work appears in journals such as Atmospheric chemistry and physics, Applied Energy, Indoor Air, Environmental Science & Technology and Journal of Exposure Science & Environmental Epidemiology.

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.

Explore authors with similar magnitude of impact