John King Gamble

3.2k citations
67 papers · 1.8k indexed · h-index 19

Impact in

Papers in

John King Gamble

59 papers receiving 1.8k citations

Peers

John King Gamble
Comparison fields: 5 of 132
  • Atomic and Molecular Physics, and Optics 1.3k
  • Artificial Intelligence 789
  • Electrical and Electronic Engineering 673
  • Computational Theory and Mathematics 113
  • Condensed Matter Physics 82
Replace Thomas Fink with:
Thomas Fink Germany
Wuxin Liu China
Philippe Blanchard France
Xin-Qi Li China
R. M. Benito Spain
Ting Wang China
Kenneth Rudinger United States
Runyao Duan China
J.C. Flores Chile
Jun‐ichi Inoue Japan
John King Gamble relative to Thomas Fink Germany Thomas Fink's profile →
Citations per field
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Citations per year

Countries citing papers authored by John King Gamble

Since Specialization
Citations

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

Fields of papers citing papers by John King Gamble

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John King Gamble. 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 John King Gamble. The network helps show where John King Gamble may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017290
2 2014196
3 2012161
4 2014126
5 201092
6 201580
7 201379
8 201471
9 201870
10 200970
11 201266
12 201749
13 201547
14 201344
15 202433
16 201933
17 201231
18 201230
19 201621
20 202018

About John King Gamble

John King Gamble is a scholar working on Atomic and Molecular Physics, and Optics, Structural Biology, Political Science and International Relations, Management, Monitoring, Policy and Law and Artificial Intelligence, having authored 67 papers that have together received 1.8k indexed citations. Recurring topics across this work include Quantum and electron transport phenomena (24 papers), Advancements in Semiconductor Devices and Circuit Design (12 papers), Quantum Information and Cryptography (12 papers), Quantum Computing Algorithms and Architecture (7 papers), Semiconductor materials and devices (7 papers), Semiconductor Quantum Structures and Devices (6 papers), International Law and Human Rights (6 papers) and Global Peace and Security Dynamics (6 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (1.3k citations), Artificial Intelligence (789 citations), Electrical and Electronic Engineering (673 citations), Computational Theory and Mathematics (113 citations) and Condensed Matter Physics (82 citations). John King Gamble has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include S. N. Coppersmith, Mark Friesen, M. A. Eriksson, Erik Nielsen, D. E. Savage, M. G. Lagally, Teck Seng Koh, J. R. Prance, Zhan Shi and Daniel R. Ward. Their work appears in journals such as Physical Review B, Nature Communications, Physical Review A, American Journal of International Law and Quantum.

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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