Chris Knight

2.8k citations
69 papers · 2.0k · h-index 23

Impact in

Papers in

Chris Knight

62 papers receiving 2.0k citations

Peers

Chris Knight
Comparison fields: 5 of 128
  • Atomic and Molecular Physics, and Optics 689
  • Physical and Theoretical Chemistry 140
  • Inorganic Chemistry 194
  • Filtration and Separation 27
  • Materials Chemistry 536
Replace Hisashi Hayashi with:
Hisashi Hayashi Japan
Ilian T. Todorov United Kingdom
J. Daniel Gezelter United States
Hsin-Yu Ko United States
Haibo Ma China
Matteo Salvalaglio United Kingdom
Mohan Chen China
Matteo Cavalleri United States
J. J. Gillis United States
Chris Knight relative to Hisashi Hayashi Japan Hisashi Hayashi's profile →
Citations per field
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Hisashi Hayashi · 1×
Citations per year

Countries citing papers authored by Chris Knight

Since Specialization
Citations

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

Fields of papers citing papers by Chris Knight

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015281
2 2011278
3 2015150
4 2015103
5 200578
6 201776
7 198976
8 201568
9 201265
10 201164
11 201764
12 200653
13 201252
14 201043
15 201041
16 201337
17 200535
18 202334
19 200629
20 201929

About Chris Knight

Chris Knight is a scholar working on Atomic and Molecular Physics, and Optics, Materials Chemistry, Biomedical Engineering, Computer Networks and Communications and Molecular Biology, having authored 69 papers that have together received 2.0k indexed citations. Recurring topics across this work include Advanced Chemical Physics Studies (21 papers), Spectroscopy and Quantum Chemical Studies (10 papers), Machine Learning in Materials Science (9 papers), Protein Structure and Dynamics (7 papers), Parallel Computing and Optimization Techniques (7 papers), Advanced Data Storage Technologies (7 papers), Quantum, superfluid, helium dynamics (6 papers) and American and British Literature Analysis (5 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (689 citations), Physical and Theoretical Chemistry (140 citations), Inorganic Chemistry (194 citations), Filtration and Separation (27 citations) and Materials Chemistry (536 citations). Chris Knight has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include Gregory A. Voth, Sherwin J. Singer, Gerrick E. Lindberg, Ying‐Lung Steve Tse, Jochen S. Hub, Chen Chen, Francesco Paesani, Ali Hassanali, Jer‐Lai Kuo and Tomas K. Hirsch. Their work appears in journals such as The Journal of Chemical Physics, Journal of Chemical Theory and Computation, American Literature, Physical review. A and Mathematical Proceedings of the Cambridge Philosophical Society.

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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