Jay H. Hendricks

3.2k total citations
68 papers, 2.5k citations indexed

About

Jay H. Hendricks is a scholar working on Atomic and Molecular Physics, and Optics, Statistics, Probability and Uncertainty and Computer Networks and Communications. According to data from OpenAlex, Jay H. Hendricks has authored 68 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Atomic and Molecular Physics, and Optics, 20 papers in Statistics, Probability and Uncertainty and 17 papers in Computer Networks and Communications. Recurrent topics in Jay H. Hendricks's work include Scientific Measurement and Uncertainty Evaluation (20 papers), Advanced Chemical Physics Studies (18 papers) and Advanced Data Storage Technologies (13 papers). Jay H. Hendricks is often cited by papers focused on Scientific Measurement and Uncertainty Evaluation (20 papers), Advanced Chemical Physics Studies (18 papers) and Advanced Data Storage Technologies (13 papers). Jay H. Hendricks collaborates with scholars based in United States, France and China. Jay H. Hendricks's co-authors include Kit H. Bowen, Svetlana Lyapustina, Helen L. de Clercq, Gregory R. Ganger, Susan T. Arnold, Michael K. Reiter, J. T. Snodgrass, Jacob E. Ricker, M. I. Aquino and William J. Bowers and has published in prestigious journals such as Physical Review Letters, The Journal of Chemical Physics and Chemistry of Materials.

In The Last Decade

Jay H. Hendricks

64 papers receiving 2.4k citations

Author Peers

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

Author Last Decade Papers Cites
Jay H. Hendricks 1.1k 466 421 382 322 68 2.5k
K. Watanabe 1.0k 0.9× 171 0.4× 128 0.3× 836 2.2× 217 0.7× 223 3.3k
F. Schneider 851 0.8× 522 1.1× 277 0.7× 721 1.9× 266 0.8× 190 3.0k
Todd R. Gingrich 505 0.4× 42 0.1× 39 0.1× 340 0.9× 185 0.6× 28 1.8k
Keiji Nakayama 379 0.3× 64 0.1× 55 0.1× 576 1.5× 24 0.1× 114 2.3k
Titus S. van Erp 799 0.7× 375 0.8× 14 0.0× 667 1.7× 117 0.4× 71 2.1k
Rolfe G. Petschek 742 0.7× 387 0.8× 136 0.3× 964 2.5× 128 0.4× 127 2.6k
Robert E. Benner 713 0.6× 101 0.2× 215 0.5× 472 1.2× 111 0.3× 89 2.6k
John T. Bendler 394 0.3× 132 0.3× 26 0.1× 1.3k 3.3× 182 0.6× 78 2.6k
Richard P. Muller 956 0.8× 225 0.5× 18 0.0× 826 2.2× 302 0.9× 61 2.9k
R. Richter 238 0.2× 79 0.2× 223 0.5× 314 0.8× 78 0.2× 190 2.5k

Countries citing papers authored by Jay H. Hendricks

Since Specialization
Citations

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

Fields of papers citing papers by Jay H. Hendricks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jay H. Hendricks. 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 Jay H. Hendricks. The network helps show where Jay H. Hendricks may publish in the future.

Co-authorship network of co-authors of Jay H. Hendricks

This figure shows the co-authorship network connecting the top 25 collaborators of Jay H. Hendricks. A scholar is included among the top collaborators of Jay H. Hendricks 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 Jay H. Hendricks. Jay H. Hendricks 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.
Ricker, Jacob E., Kevin O. Douglass, Jay H. Hendricks, Thinh Bui, & S. V. White. (2025). Gas pressure calibration from 0.01 Pa to 400000 Pa using a portable quantum traceable standard. Measurement Sensors. 38. 101676–101676.
2.
Ricker, Jacob E., et al.. (2021). Transient heating in fixed length optical cavities for use as temperature and pressure standards. Metrologia. 58(3). 35003–35003. 9 indexed citations
3.
Hendricks, Jay H.. (2018). Quantum for pressure. Nature Physics. 14(1). 100–100. 18 indexed citations
4.
Ricker, Jacob E., et al.. (2018). Towards Photonic based Pascal Realization as a Primary Pressure Standard. Journal of Physics Conference Series. 1065. 162018–162018. 4 indexed citations
5.
Mesnier, Michael P., Matthew Wachs, Raja R. Sambasivan, et al.. (2018). //TRACE: Parallel Trace Replay with Approximate Causal Events. Research Showcase @ Carnegie Mellon University (Carnegie Mellon University). 24–24. 4 indexed citations
6.
Hendricks, Jay H., Raja R. Sambasivan, Shafeeq Sinnamohideen, & Gregory R. Ganger. (2018). Improving Small File Performance in Object-based Storage (CMU-PDL-06-104). Figshare.
7.
Fedchak, James A., et al.. (2018). Review Article: Recommended practice for calibrating vacuum gauges of the ionization type. Journal of Vacuum Science & Technology A Vacuum Surfaces and Films. 36(3). 7 indexed citations
8.
Jousten, Karl, Jay H. Hendricks, Daniel S. Barker, et al.. (2017). Perspectives for a new realization of the pascal by optical methods. Metrologia. 54(6). S146–S161. 86 indexed citations
9.
Ahmed, Zeeshan, Julia Scherschligt, Nikolai N. Klimov, et al.. (2016). Towards Photonics Enabled Quantum Metrology of Temperature, Pressure and Vacuum. arXiv (Cornell University).
10.
Ricker, Jacob E., et al.. (2016). Final report on the key comparison CCM.P-K4.2012 in absolute pressure from 1 Pa to 10 kPa. Metrologia. 54(1A). 7002–7002. 16 indexed citations
11.
Sinnamohideen, Shafeeq, et al.. (2010). A transparently-scalable metadata service for the Ursa Minor storage system. USENIX Annual Technical Conference. 13–13. 23 indexed citations
12.
Abd-El-Malek, Michael, Charles D. Cranor, Gregory R. Ganger, et al.. (2006). Early experiences on the journey towards self-* storage.. IEEE Data(base) Engineering Bulletin. 29(4). 55–62. 7 indexed citations
13.
Abd-El-Malek, Michael, Charles D. Cranor, Gregory R. Ganger, et al.. (2005). Ursa minor: versatile cluster-based storage. File and Storage Technologies. 5–5. 134 indexed citations
14.
Pang, Jeffrey, Jay H. Hendricks, Aditya Akella, et al.. (2004). Availability, usage, and deployment characteristics of the domain name system. 1–14. 47 indexed citations
15.
Gutowski, Maciej, Ludwik Adamowicz, Jay H. Hendricks, et al.. (2002). Solvated Electrons in Very Small Clusters of Polar Molecules:(HF)3−. Physical Review Letters. 88(14). 143001–143001. 56 indexed citations
16.
Maslar, James E., et al.. (2000). In Situ Raman Spectroscopic Investigation of Aqueous Iron Corrosion at Elevated Temperatures and Pressures. Journal of The Electrochemical Society. 147(7). 2532–2532. 103 indexed citations
17.
Bowen, Kit H., et al.. (1997). Photoelectron Spectroscopy of Small Cluster Anions; Dipole-Bound, Ground State Systems. APS. 1 indexed citations
18.
Hendricks, Jay H., Svetlana Lyapustina, Helen L. de Clercq, J. T. Snodgrass, & Kit H. Bowen. (1996). Dipole bound, nucleic acid base anions studied via negative ion photoelectron spectroscopy. The Journal of Chemical Physics. 104(19). 7788–7791. 233 indexed citations
19.
Arnold, Susan T., Jay H. Hendricks, & Kit H. Bowen. (1995). Photoelectron spectroscopy of the solvated anion clusters O−(Ar)n=1–26,34: Energetics and structure. The Journal of Chemical Physics. 102(1). 39–47. 71 indexed citations
20.
Sarkas, H. W., et al.. (1994). Measurement of the X 2Σ+–A 2Π splitting in CsO via photoelectron spectroscopy of CsO−. The Journal of Chemical Physics. 100(4). 3358–3360. 13 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.

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