Daniel J. Kirshbaum

2.6k citations
69 papers · 1.9k indexed · h-index 27
Topics
Meteorological Phenomena and Simulations (65 papers)Climate variability and models (49 papers)Tropical and Extratropical Cyclones Research (20 papers)

In The Last Decade

Daniel J. Kirshbaum

66 papers receiving 1.9k citations

Peers

Daniel J. Kirshbaum
Comparison fields: 5 of 50
  • Atmospheric Science 1.8k
  • Global and Planetary Change 1.6k
  • Environmental Engineering 264
  • Oceanography 106
  • Earth-Surface Processes 82
Replace David E. Kingsmill with:
David E. Kingsmill United States
Suzanne L. Gray United Kingdom
Didier Ricard France
Bianca Adler Germany
Thomas R. Parish United States
Alexander Gohm Austria
Steven T. Siems Australia
Ron McTaggart‐Cowan Canada
Kazuhisa Tsuboki Japan
Baike Xi United States
Daniel J. Kirshbaum relative to David E. Kingsmill United States David E. Kingsmill's profile →
Citations per field
00.5×1.5×2.1×
David E. Kingsmill · 1×
Citations per year

Countries citing papers authored by Daniel J. Kirshbaum

Since Specialization
Citations

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

Fields of papers citing papers by Daniel J. Kirshbaum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel J. Kirshbaum

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel J. Kirshbaum. A scholar is included among the top collaborators of Daniel J. Kirshbaum 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 Daniel J. Kirshbaum. Daniel J. Kirshbaum 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
#WorkIndexed citations
1 0
2 4
3 0
4 2
5 2
6 18
7 7
8 9
9 13
10 12
11 13
12 167
13 5
14 5
15 6
16 24
17 79
18 68
19 50
20 94

About Daniel J. Kirshbaum

Daniel J. Kirshbaum is a scholar working on Atmospheric Science, Global and Planetary Change and Earth-Surface Processes, having authored 69 papers that have together received 1.9k indexed citations. Recurring topics across this work include Meteorological Phenomena and Simulations (65 papers), Climate variability and models (49 papers) and Tropical and Extratropical Cyclones Research (20 papers). The work is most often cited by research in Atmospheric Science (1.8k citations), Global and Planetary Change (1.6k citations) and Environmental Engineering (264 citations). Daniel J. Kirshbaum has collaborated with scholars based in Canada, United Kingdom and United States. Frequent co-authors include Dale R. Durran, Ronald B. Smith, Christian Barthlott, Stefano Serafin, Norbert Kalthoff, Bianca Adler, Suzanne L. Gray, Chun‐Chih Wang, Jonathan G. Fairman and P. Schäfer. Their work appears in journals such as Geophysical Research Letters, Journal of the Atmospheric Sciences and Monthly Weather Review.

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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