David Haas

90 total papers · 656 total citations
57 papers, 511 citations indexed

About

David Haas is a scholar working on Control and Systems Engineering, Aerospace Engineering and Civil and Structural Engineering. According to data from OpenAlex, David Haas has authored 57 papers receiving a total of 511 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Control and Systems Engineering, 19 papers in Aerospace Engineering and 17 papers in Civil and Structural Engineering. Recurrent topics in David Haas's work include Structural Health Monitoring Techniques (17 papers), Control Systems and Identification (14 papers) and Fault Detection and Control Systems (12 papers). David Haas is often cited by papers focused on Structural Health Monitoring Techniques (17 papers), Control Systems and Identification (14 papers) and Fault Detection and Control Systems (12 papers). David Haas collaborates with scholars based in United States. David Haas's co-authors include Inderjit Chopra, Ranjan Ganguli, Richard W. Schevitz, Margaret Adams, Alan J. Wonacott, Alexander McPherson, Michael G. Rossmann, Miguel A. Morales, Mark M. Baumback and G. Kartha and has published in prestigious journals such as Nature, Journal of Molecular Biology and Biophysical Journal.

In The Last Decade

David Haas

50 papers receiving 428 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
David Haas	165	146	141	121	106	57	511
Liu Guang	152 0.9×	41 0.3×	116 0.8×	14 0.1×	67 0.6×	48	554
T. Johnson	23 0.1×	106 0.7×	229 1.6×	56 0.5×	90 0.8×	37	592
Lei Nie	23 0.1×	99 0.7×	67 0.5×	30 0.2×	40 0.4×	82	535
Shuo Liu	36 0.2×	63 0.4×	19 0.1×	76 0.6×	37 0.3×	41	523
Baoshuai Wang	44 0.3×	193 1.3×	29 0.2×	81 0.7×	83 0.8×	49	595
Zhenhua Zhou	177 1.1×	31 0.2×	43 0.3×	15 0.1×	250 2.4×	36	610
Brian Murphy	46 0.3×	112 0.8×	273 1.9×	20 0.2×	18 0.2×	49	567
D. Philip	274 1.7×	28 0.2×	149 1.1×	27 0.2×	5 0.0×	42	484
Shuangwei Hu	142 0.9×	18 0.1×	85 0.6×	170 1.4×	121 1.1×	23	465
Yao Zhang	147 0.9×	204 1.4×	177 1.3×	23 0.2×	101 1.0×	58	554

Countries citing papers authored by David Haas

Since Specialization

Citations

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

Fields of papers citing papers by David Haas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Haas

This figure shows the co-authorship network connecting the top 25 collaborators of David Haas. A scholar is included among the top collaborators of David Haas 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 David Haas. David Haas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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