Daniel P. Johnson

986 citations
18 papers · 700 indexed · h-index 10

Impact in

Papers in

Daniel P. Johnson

16 papers receiving 667 citations

Peers

Daniel P. Johnson
Comparison fields: 5 of 87
  • Health, Toxicology and Mutagenesis 451
  • Environmental Engineering 319
  • Health 69
  • Global and Planetary Change 149
  • Speech and Hearing 44
Replace Ben Zaitchik with:
Ben Zaitchik United States
Jionghua Wang China
Christina Mitsakou Greece
Gerardo Sánchez Martínez Spain
Sasanka Ghosh India
Chao Song China
Stephanie Weber United States
Katherine Arbuthnott United Kingdom
Dmitry Shaposhnikov Russia
Pierre Masselot United Kingdom
Daniel P. Johnson relative to Ben Zaitchik United States Ben Zaitchik's profile →
Citations per field
00.5×4.3×
Ben Zaitchik · 1×
Citations per year

Countries citing papers authored by Daniel P. Johnson

Since Specialization
Citations

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

Fields of papers citing papers by Daniel P. Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 12 scholars most cited alongside Daniel P. Johnson, 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 P. Johnson Line = papers co-authored together Daniel P. Johnson links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 20245
2 20232
3 20224
4 202218
5 202120
6 202118
7 202126
8 20199
9 201313
10 2012255
11 2009114
12 2009136
13
Analysis of laser and image data for forestry applications : methods of forest stand delineation
20071
14 200672
15 20053
16
A method for global optimization of large systems of quadratic constraints
20030
17 19874
18 19600

About Daniel P. Johnson

Daniel P. Johnson is a scholar working on Modeling and Simulation, Health, Toxicology and Mutagenesis, Health, Environmental Engineering and Ocean Engineering, having authored 18 papers that have together received 700 indexed citations. Recurring topics across this work include Air Quality and Health Impacts (5 papers), Climate Change and Health Impacts (5 papers), Health disparities and outcomes (4 papers), Urban Heat Island Mitigation (4 papers), COVID-19 epidemiological studies (3 papers), Urban Green Space and Health (2 papers), Air Quality Monitoring and Forecasting (1 paper) and Vehicle emissions and performance (1 paper). The work is most often cited by research in Health, Toxicology and Mutagenesis (451 citations), Environmental Engineering (319 citations), Health (69 citations), Global and Planetary Change (149 citations) and Speech and Hearing (44 citations). Daniel P. Johnson has collaborated with scholars based in United States. Frequent co-authors include Jeffrey S. Wilson, George Luber, Vijay Lulla, Austin Stanforth, A. S. Cullick, Cynthia Rosenzweig, Kathryn McConnell, Evan Mallen, Equisha Glenn and Gabriel Filippelli. Their work appears in journals such as Applied Geography, Spatial and Spatio-temporal Epidemiology, International Journal of Environmental Research and Public Health, NAVIGATION Journal of the Institute of Navigation and Process Safety and Environmental Protection.

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

Rankless by CCL
2026