Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Sensor placement for on-orbit modal identification and correlation of large space structures
1991655 citationsDaniel C. KammerJournal of Guidance Control and Dynamicsprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Daniel C. Kammer
Since
Specialization
Citations
This map shows the geographic impact of Daniel C. Kammer'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 C. Kammer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel C. Kammer more than expected).
Fields of papers citing papers by Daniel C. Kammer
This network shows the impact of papers produced by Daniel C. Kammer. 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 C. Kammer. The network helps show where Daniel C. Kammer may publish in the future.
Co-authorship network of co-authors of Daniel C. Kammer
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel C. Kammer.
A scholar is included among the top collaborators of Daniel C. Kammer 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 C. Kammer. Daniel C. Kammer 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
1.
Kammer, Daniel C., et al.. (2018). An Examination of Launch Vehicle Loads Reanalysis Techniques. NASA Technical Reports Server (NASA).1 indexed citations
Steltzner, Adam & Daniel C. Kammer. (1999). Input force estimation using an inverse structural filter. 3727. 954–960.23 indexed citations
8.
Kammer, Daniel C. & Adam Steltzner. (1999). Structural Identification Using Inverse System Dynamics, #224. SPIE eBooks. 3727. 1880–1886.3 indexed citations
9.
Kammer, Daniel C.. (1998). Model Reduction Using Modal, SEREP, and Hybrid. 3243. 177.1 indexed citations
10.
Kammer, Daniel C.. (1997). Estimation of Structural Response Using Remote Sensor Locations. Proceedings of SPIE, the International Society for Optical Engineering. 3089. 1379–1385.1 indexed citations
Kammer, Daniel C. & Gary L. Gray. (1993). A nonlinear control design for energy sink simulation in the Euler-Poinsot problem. The Journal of the Astronautical Sciences. 41(1). 111–132.3 indexed citations
15.
Gray, Gary L., Daniel C. Kammer, & Ian Dobson. (1993). Detection of chaotic saddles in an attitude maneuver of a spacecraft containing a viscous damper. 95. 167–184.6 indexed citations
Gray, Gary L., Daniel C. Kammer, & Ian Dobson. (1992). Chaos in an attitude maneuver of a damped satellite due to time-periodic perturbations. 593–612.4 indexed citations
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.