Daniel J. Segalman

3.0k citations
71 papers · 1.7k indexed · h-index 19

Daniel J. Segalman

67 papers receiving 1.7k citations

Peers

Daniel J. Segalman
Comparison fields: 5 of 86
  • Fluid Flow and Transfer Processes 318
  • Civil and Structural Engineering 527
  • Statistics, Probability and Uncertainty 130
  • Computational Mechanics 356
  • Mechanics of Materials 390
Replace Millard F. Beatty with:
Millard F. Beatty United States
T. Pritz Hungary
Laurent Stainier France
Peter Haupt Germany
H.P. Lee Singapore
N. Triantafyllidis United States
Markus Kästner Germany
Adrien Leygue France
Anil K. Bajaj United States
William L. Ko United States
Daniel J. Segalman relative to Millard F. Beatty United States Millard F. Beatty's profile →
Citations per field
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Citations per year

Countries citing papers authored by Daniel J. Segalman

Since Specialization
Citations

This map shows the geographic impact of Daniel J. Segalman'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. Segalman 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. Segalman more than expected).

Fields of papers citing papers by Daniel J. Segalman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20221
2 2018131
3 201443
4 20136
5 20138
6 2008132
7 20046
8
Validation of a mechanical joint.
20041
9
Nonlinear response of a lap-type joint using a whole-interface model.
20043
10 20021
11 20013
12 19995
13 19991
14 199632
15 199218
16
Electrically-controlled polymeric gels as active materials in adaptive structures
19913
17
Surface deformations resulting from laser spot welding
19881
18 1977360
19 19724
20 19727

About Daniel J. Segalman

Daniel J. Segalman is a scholar working on Control and Systems Engineering, Civil and Structural Engineering and Statistics, Probability and Uncertainty, having authored 71 papers that have together received 1.7k indexed citations. Recurring topics across this work include Dynamics and Control of Mechanical Systems (22 papers), Structural Health Monitoring Techniques (13 papers), Vibration and Dynamic Analysis (12 papers), Adhesion, Friction, and Surface Interactions (10 papers), Bladed Disk Vibration Dynamics (9 papers), Mechanical Engineering and Vibrations Research (8 papers), Gear and Bearing Dynamics Analysis (7 papers) and Probabilistic and Robust Engineering Design (7 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (318 citations), Civil and Structural Engineering (527 citations) and Statistics, Probability and Uncertainty (130 citations). Daniel J. Segalman has collaborated with scholars based in United States, India and Germany. Frequent co-authors include M. W. Johnson, Michael James Starr, Matthew Barone, Irina Kalashnikova, Heidi Thornquist, Walter R. Witkowski, Eric A. Butcher, Clark R. Dohrmann, Matthew S. Allen and D. Dane Quinn. Their work appears in journals such as Nature Communications, Journal of Computational Physics and The Journal of the Acoustical Society of America.

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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