J. Watkins

44 total papers · 957 total citations
11 papers, 240 citations indexed

About

J. Watkins is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Nuclear and High Energy Physics. According to data from OpenAlex, J. Watkins has authored 11 papers receiving a total of 240 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 5 papers in Atomic and Molecular Physics, and Optics and 3 papers in Nuclear and High Energy Physics. Recurrent topics in J. Watkins's work include Quantum Computing Algorithms and Architecture (5 papers), Quantum Information and Cryptography (5 papers) and Nuclear physics research studies (3 papers). J. Watkins is often cited by papers focused on Quantum Computing Algorithms and Architecture (5 papers), Quantum Information and Cryptography (5 papers) and Nuclear physics research studies (3 papers). J. Watkins collaborates with scholars based in United States, Canada and Germany. J. Watkins's co-authors include Dean Lee, Bernhard Maaß, D. Garand, D. Rossi, Skyy Pineda, W. Nörtershäuser, A. Miller, F. Sommer, A. Klose and Jeremy Lantis and has published in prestigious journals such as Physical Review Letters, Neuroscience and Nature Physics.

In The Last Decade

J. Watkins

11 papers receiving 235 citations

Author Peers

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

Author						Papers	Cites
J. Watkins	128	112	73	35	32	11	240
G. Blanchon	106 0.8×	203 1.8×	27 0.4×	8 0.2×	55 1.7×	22	257
Francis R. Halpern	155 1.2×	139 1.2×	29 0.4×	10 0.3×	18 0.6×	25	298
C. Adams	75 0.6×	85 0.8×	26 0.4×	13 0.4×	27 0.8×	11	185
Éric-Olivier Le Bigot	188 1.5×	28 0.3×	34 0.5×	29 0.8×	46 1.4×	10	276
David L. Falkoff	216 1.7×	29 0.3×	96 1.3×	21 0.6×	10 0.3×	10	326
Xing Fan	195 1.5×	140 1.3×	32 0.4×	44 1.3×	33 1.0×	20	292
D. Kast	158 1.2×	114 1.0×	33 0.5×	16 0.5×	43 1.3×	18	210
V. Gheorghe	202 1.6×	16 0.1×	39 0.5×	44 1.3×	21 0.7×	14	256
Michelle Kuchera	28 0.2×	199 1.8×	24 0.3×	16 0.5×	104 3.3×	17	282
L. D. Soloviev	43 0.3×	253 2.3×	15 0.2×	16 0.5×	4 0.1×	16	311

Countries citing papers authored by J. Watkins

Since Specialization

Citations

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

Fields of papers citing papers by J. Watkins

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Watkins

This figure shows the co-authorship network connecting the top 25 collaborators of J. Watkins. A scholar is included among the top collaborators of J. Watkins 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 J. Watkins. J. Watkins 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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