Leonard Mlodinow

57 total papers · 1.4k total citations
39 papers, 922 citations indexed

About

Leonard Mlodinow is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Statistical and Nonlinear Physics. According to data from OpenAlex, Leonard Mlodinow has authored 39 papers receiving a total of 922 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Atomic and Molecular Physics, and Optics, 10 papers in Artificial Intelligence and 5 papers in Statistical and Nonlinear Physics. Recurrent topics in Leonard Mlodinow's work include Quantum Information and Cryptography (5 papers), Quantum and electron transport phenomena (5 papers) and Mechanical and Optical Resonators (5 papers). Leonard Mlodinow is often cited by papers focused on Quantum Information and Cryptography (5 papers), Quantum and electron transport phenomena (5 papers) and Mechanical and Optical Resonators (5 papers). Leonard Mlodinow collaborates with scholars based in United States, Germany and France. Leonard Mlodinow's co-authors include N. Papanicolaou, Mark Hillery, Todd A. Brun, Carl M. Bender, Lisa Feldman Barrett, Ralph Adolphs, S. W. Hawking, Vladimír Bužek, I.O. Stamatescu and John S. Dahler and has published in prestigious journals such as Physics Today, Current Biology and Physical Review A.

In The Last Decade

Leonard Mlodinow

34 papers receiving 874 citations

Author Peers

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

Author						Papers	Cites
Leonard Mlodinow	653	200	186	179	53	39	922
John G. Cramer	527 0.8×	200 1.0×	165 0.9×	210 1.2×	38 0.7×	35	867
Jagdish Mehra	705 1.1×	85 0.4×	328 1.8×	82 0.5×	23 0.4×	52	1.2k
James T. Cushing	669 1.0×	176 0.9×	204 1.1×	56 0.3×	24 0.5×	74	1.2k
Herbert Jehle	436 0.7×	107 0.5×	221 1.2×	107 0.6×	28 0.5×	28	925
W. H. Zurek	536 0.8×	292 1.5×	289 1.6×	82 0.5×	23 0.4×	28	871
Albert Einstein	364 0.6×	73 0.4×	209 1.1×	94 0.5×	25 0.5×	86	1.1k
Wolfgang Yourgrau	352 0.5×	88 0.4×	261 1.4×	79 0.4×	19 0.4×	58	801
Abraham Pais	353 0.5×	55 0.3×	168 0.9×	446 2.5×	24 0.5×	30	1.2k
Hartmann Römer	229 0.4×	55 0.3×	216 1.2×	402 2.2×	88 1.7×	58	892
Banesh Hoffmann	300 0.5×	60 0.3×	155 0.8×	75 0.4×	45 0.8×	46	1.1k

Countries citing papers authored by Leonard Mlodinow

Since Specialization

Citations

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

Fields of papers citing papers by Leonard Mlodinow

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leonard Mlodinow

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