Tyler McCandless

24 papers receiving 532 citations

Peers

Tyler McCandless
Comparison fields: 5 of 66
  • Artificial Intelligence 321
  • Atmospheric Science 176
  • Renewable Energy, Sustainability and the Environment 149
  • Global and Planetary Change 178
  • Environmental Engineering 74
Replace Ana Gracia-Amillo with:
Ana Gracia-Amillo Italy
Jared A. Lee United States
J.M. Vindel Spain
Martín Gastón Spain
Simone Sperati Italy
Barbara Ridley Australia
Benoît Gschwind France
Vicente Lara-Fanego Spain
Natalie Hanrieder Spain
Michaël Zamo France
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Citations per field
00.5×10×15×19.5×
Ana Gracia-Amillo · 1×
Citations per year

Countries citing papers authored by Tyler McCandless

Since Specialization
Citations

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

Fields of papers citing papers by Tyler McCandless

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201569
2 201766
3 202047
4 201546
5 201838
6 201636
7 201229
8 201628
9 201723
10 202022
11 202021
12 202220
13 202019
14 201618
15 202017
16 202014
17 201113
18 20197
19
STATISTICAL GUIDANCE METHODS FOR PREDICTING SNOWFALL ACCUMULATION IN THE NORTHEAST UNITED STATES
20114
20 20213

About Tyler McCandless

Tyler McCandless is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Atmospheric Science, Global and Planetary Change and Renewable Energy, Sustainability and the Environment, having authored 25 papers that have together received 546 indexed citations. Recurring topics across this work include Solar Radiation and Photovoltaics (16 papers), Energy Load and Power Forecasting (14 papers), Meteorological Phenomena and Simulations (9 papers), Photovoltaic System Optimization Techniques (7 papers), Wind and Air Flow Studies (3 papers), Wind Energy Research and Development (3 papers), Plant Water Relations and Carbon Dynamics (2 papers) and Remote Sensing in Agriculture (2 papers). The work is most often cited by research in Artificial Intelligence (321 citations), Atmospheric Science (176 citations), Renewable Energy, Sustainability and the Environment (149 citations), Global and Planetary Change (178 citations) and Environmental Engineering (74 citations). Tyler McCandless has collaborated with scholars based in United States, Kuwait and Tunisia. Frequent co-authors include Sue Ellen Haupt, George S. Young, Branko Kosović, Pedro A. Jiménez, Jared A. Lee, Stefano Alessandrini, Laura M. Hinkelman, Matthew A. Rogers, Steven D. Miller and Gerry Wiener. Their work appears in journals such as Energies, Journal of Applied Meteorology and Climatology, Solar Energy, Monthly Weather Review and Wind energy 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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