Jay H. Hendricks

64 papers receiving 2.4k citations

Peers

Jay H. Hendricks
Comparison fields: 5 of 95
  • Metals and Alloys 100
  • Statistics, Probability and Uncertainty 266
  • Atomic and Molecular Physics, and Optics 1.1k
  • Physical and Theoretical Chemistry 322
  • Spectroscopy 466
Replace Albert P. Bartók with:
Albert P. Bartók United Kingdom
Nicholas Lubbers United States
Robert E. Benner United States
Clarence Zener United States
Takahiro Yamada Japan
U. Zimmermann Germany
Keiji Nakayama Japan
Tibor Nagy Hungary
Peter Luksch Germany
Boris Kozinsky United States
Jay H. Hendricks relative to Albert P. Bartók United Kingdom Albert P. Bartók's profile →
Citations per field
00.5×10×15.6×
Albert P. Bartók · 1×
Citations per year

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-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996233
2 1998220
3 1996185
4 2005134
5 2001117
6 2000103
7 199491
8 201786
9 199571
10 200766
11 201564
12 199763
13 201661
14 201160
15 200256
16 200254
17 200752
18 200447
19 200240
20 199039

About Jay H. Hendricks

Jay H. Hendricks is a scholar working on Atomic and Molecular Physics, and Optics, Statistics, Probability and Uncertainty, Computer Networks and Communications, Biomedical Engineering and Spectroscopy, having authored 68 papers that have together received 2.5k indexed citations. Recurring topics across this work include Scientific Measurement and Uncertainty Evaluation (20 papers), Advanced Chemical Physics Studies (18 papers), Advanced Data Storage Technologies (13 papers), Advanced Sensor Technologies Research (11 papers), Inorganic Fluorides and Related Compounds (8 papers), Caching and Content Delivery (8 papers), Advanced Measurement and Metrology Techniques (8 papers) and Distributed systems and fault tolerance (8 papers). The work is most often cited by research in Metals and Alloys (100 citations), Statistics, Probability and Uncertainty (266 citations), Atomic and Molecular Physics, and Optics (1.1k citations), Physical and Theoretical Chemistry (322 citations) and Spectroscopy (466 citations). Jay H. Hendricks has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Kit H. Bowen, Svetlana Lyapustina, Helen L. de Clercq, Susan T. Arnold, Gregory R. Ganger, Michael K. Reiter, J. T. Snodgrass, M. I. Aquino, Jacob E. Ricker and William J. Bowers. Their work appears in journals such as The Journal of Chemical Physics, Metrologia, Measurement, Journal of Vacuum Science & Technology A Vacuum Surfaces and Films and Nature Physics.

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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