Adam J. Clark

4.1k total citations
91 papers, 2.7k citations indexed

About

Adam J. Clark is a scholar working on Atmospheric Science, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Adam J. Clark has authored 91 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Atmospheric Science, 67 papers in Global and Planetary Change and 15 papers in Environmental Engineering. Recurrent topics in Adam J. Clark's work include Meteorological Phenomena and Simulations (67 papers), Climate variability and models (66 papers) and Tropical and Extratropical Cyclones Research (26 papers). Adam J. Clark is often cited by papers focused on Meteorological Phenomena and Simulations (67 papers), Climate variability and models (66 papers) and Tropical and Extratropical Cyclones Research (26 papers). Adam J. Clark collaborates with scholars based in United States, United Kingdom and Australia. Adam J. Clark's co-authors include William A. Gallus, Ming Xue, Fanyou Kong, J.B. Jackson, N.P.J. Cotton, Tsing-Chang Chen, John S. Kain, Scott R. Dembek, Morris L. Weisman and Israel L. Jirak and has published in prestigious journals such as Journal of Climate, Geophysical Research Letters and European Journal of Biochemistry.

In The Last Decade

Adam J. Clark

87 papers receiving 2.6k citations

Peers

Adam J. Clark
Comparison fields: 5 of 107
  • Atmospheric Science 2.3k
  • Global and Planetary Change 2.2k
  • Environmental Engineering 396
  • Molecular Biology 233
  • Oceanography 160
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Citations per field, relative to Adam J. Clark
Adam J. Clark · 1×
Citations per year, relative to Adam J. Clark
Adam J. Clark · 1×

Countries citing papers authored by Adam J. Clark

Since Specialization
Citations

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

Fields of papers citing papers by Adam J. Clark

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Adam J. Clark. 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 Adam J. Clark. The network helps show where Adam J. Clark may publish in the future.

Co-authorship network of co-authors of Adam J. Clark

This figure shows the co-authorship network connecting the top 25 collaborators of Adam J. Clark. A scholar is included among the top collaborators of Adam J. Clark based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Adam J. Clark. Adam J. Clark is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 3
4 15
5 4
6 4
7 24
8 8
9 22
10 43
11
Overview of the 2015 NOAA/Hazardous Weather Testbed Spring Forecasting Experiment
2
12 7
13
46 AN OVERVIEW OF THE 2014 NOAA HAZARDOUS WEATHER TESTBED SPRING FORECASTING EXPERIMENT
6
14
Comparing the NSSL-WRF Model and Convection-allowing Versions of UKMET's Unified Model during the 2013 and 2014 NOAA/HWT Spring Forecasting Experiments
1
15 72
16
A comparison of precipitation forecast skill between small convection-allowing and large convection-parameterizing ensembles
1
17 9
18 55
19 28
20 1

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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