Eric E. Ungar

1.6k citations
48 papers · 907 · h-index 15

Impact in

Papers in

Eric E. Ungar

41 papers receiving 807 citations

Peers

Eric E. Ungar
Comparison fields: 5 of 62
  • Civil and Structural Engineering 461
  • Mechanics of Materials 384
  • Control and Systems Engineering 232
  • Mechanical Engineering 307
  • Automotive Engineering 95
Replace David I. G. Jones with:
David I. G. Jones United States
H. Rothert Germany
Ŝ. Markuŝ Slovakia
Leonardo Lecce Italy
H.D. Hibbitt United States
Friedrich K. Straub United States
Antônio Marcos Gonçalves de Lima Brazil
Harold A. Evensen United States
Donald J. Nefske United States
Igor Shufrin Israel
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Citations per field
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David I. G. Jones · 1×
Citations per year

Countries citing papers authored by Eric E. Ungar

Since Specialization
Citations

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

Fields of papers citing papers by Eric E. Ungar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric E. Ungar. 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 Eric E. Ungar. The network helps show where Eric E. Ungar may publish in the future.

Co-authors

The 17 scholars most cited alongside Eric E. Ungar, 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 Eric E. Ungar Line = papers co-authored together Eric E. Ungar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1962284
2 1973103
3 196281
4 196565
5 196655
6 196135
7 196629
8 196727
9 196424
10 199621
11 196620
12 196218
13 196118
14 199015
15 196015
16
VIBRATIONS PRODUCED IN BUILDINGS BY PASSAGE OF SUBWAY TRAINS; PARAMETER ESTIMATION FOR PRELIMINARY DESIGN
197512
17 199011
18 20087
19 19966
20 19916

About Eric E. Ungar

Eric E. Ungar is a scholar working on Civil and Structural Engineering, Mechanical Engineering, Control and Systems Engineering, Mechanics of Materials and Automotive Engineering, having authored 48 papers that have together received 907 indexed citations. Recurring topics across this work include Structural Engineering and Vibration Analysis (10 papers), Structural Health Monitoring Techniques (10 papers), Acoustic Wave Phenomena Research (6 papers), Dynamics and Control of Mechanical Systems (6 papers), Composite Structure Analysis and Optimization (5 papers), Vehicle Noise and Vibration Control (5 papers), Vibration and Dynamic Analysis (4 papers) and Mechanical Engineering and Vibrations Research (3 papers). The work is most often cited by research in Civil and Structural Engineering (461 citations), Mechanics of Materials (384 citations), Control and Systems Engineering (232 citations), Mechanical Engineering (307 citations) and Automotive Engineering (95 citations). Eric E. Ungar has collaborated with scholars based in United States. Frequent co-authors include Edward Kerwin, Donald W. Ross, Jaime R. Carbonell, Bernard W. Shaffer, E K Bender, G. Maidanik, Colin G. Gordon, J. C. Snowdon, Eric M. Hines and Masoud Sanayei. Their work appears in journals such as The Journal of the Acoustical Society of America, Journal of Sound and Vibration, Shock and Vibration, AIAA Journal and Applied Mechanics Reviews.

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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