Daniel Greenbaum

529 citations
23 papers · 347 · h-index 10

Impact in

Papers in

Daniel Greenbaum

23 papers receiving 328 citations

Peers

Daniel Greenbaum
Comparison fields: 5 of 59
  • General Economics, Econometrics and Finance 122
  • Aerospace Engineering 242
  • Transportation 26
  • Safety, Risk, Reliability and Quality 28
  • Social Psychology 57
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Thanh Tran Vietnam
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Douglas A. Craig United States
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Citations per field
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Citations per year

Countries citing papers authored by Daniel Greenbaum

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Greenbaum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside Daniel Greenbaum, 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 Greenbaum Line = papers co-authored together Daniel Greenbaum links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200353
2 200435
3 200634
4 200731
5 200828
6 200728
7 200724
8 200418
9
The Impact of Severe Weather on Sector Capacity
200918
10 198716
11 20068
12 20088
13 20067
14 20077
15 20056
16 20146
17 20036
18 20055
19 20103
20 20052

About Daniel Greenbaum

Daniel Greenbaum is a scholar working on Aerospace Engineering, General Economics, Econometrics and Finance, Social Psychology, Atomic and Molecular Physics, and Optics and Transportation, having authored 23 papers that have together received 347 indexed citations. Recurring topics across this work include Air Traffic Management and Optimization (16 papers), Aviation Industry Analysis and Trends (8 papers), Human-Automation Interaction and Safety (5 papers), Aerospace and Aviation Technology (4 papers), Transportation Planning and Optimization (3 papers), Advanced NMR Techniques and Applications (2 papers), NMR spectroscopy and applications (2 papers) and Simulation Techniques and Applications (2 papers). The work is most often cited by research in General Economics, Econometrics and Finance (122 citations), Aerospace Engineering (242 citations), Transportation (26 citations), Safety, Risk, Reliability and Quality (28 citations) and Social Psychology (57 citations). Daniel Greenbaum has collaborated with scholars based in United States, Germany and Israel. Frequent co-authors include Craig Wanke, Lixia Song, Sandeep Mulgund, Michael L. Callaham, Anthony J. Masalonis, Robert E. Burke, Sourin Das, P. G. Silvestrov, Georg Schwiete and David G. Cory. Their work appears in journals such as Physical Review B, Journal of Magnetic Resonance, Journal of Guidance Control and Dynamics, American Journal of Epidemiology and Physical Review Letters.

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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