G.E. Whitesides

6.2k total citations · 1 hit paper
8 papers, 4.3k citations indexed

About

G.E. Whitesides is a scholar working on Aerospace Engineering, Materials Chemistry and Pulmonary and Respiratory Medicine. According to data from OpenAlex, G.E. Whitesides has authored 8 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Aerospace Engineering, 3 papers in Materials Chemistry and 1 paper in Pulmonary and Respiratory Medicine. Recurrent topics in G.E. Whitesides's work include Nuclear reactor physics and engineering (4 papers), Graphite, nuclear technology, radiation studies (2 papers) and Nuclear Physics and Applications (1 paper). G.E. Whitesides is often cited by papers focused on Nuclear reactor physics and engineering (4 papers), Graphite, nuclear technology, radiation studies (2 papers) and Nuclear Physics and Applications (1 paper). G.E. Whitesides collaborates with scholars based in United States. G.E. Whitesides's co-authors include J.W. Poston, V.V. Verbinski, John C. Courtney and E.C. Crume and has published in prestigious journals such as Health Physics, Nuclear Science and Engineering and Transactions of the American Nuclear Society.

In The Last Decade

G.E. Whitesides

8 papers receiving 3.9k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The Art of Computer Programming

1970 4.2k citations G.E. Whitesides Nuclear Science and Engineering profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
G.E. Whitesides United States	4	1.6k	1.1k	1000	632	540	8	4.3k
Robert Sedgewick United States	25	2.0k 1.2×	1.1k 1.0×	1.1k 1.1×	511 0.8×	380 0.7×	77	4.8k
Donald Knuth United States	7	1.3k 0.8×	593 0.5×	908 0.9×	319 0.5×	276 0.5×	13	2.9k
Olga Taussky United States	24	1.1k 0.7×	1.5k 1.4×	370 0.4×	561 0.9×	499 0.9×	99	4.3k
Volker Strassen Switzerland	22	1.7k 1.0×	2.0k 1.8×	579 0.6×	256 0.4×	459 0.8×	31	4.9k
S. Winograd United States	26	1.5k 0.9×	2.3k 2.1×	886 0.9×	922 1.5×	953 1.8×	64	5.0k
Don Coppersmith United States	36	2.4k 1.5×	2.2k 2.0×	1.6k 1.6×	891 1.4×	891 1.6×	106	5.5k
Kurt Mehlhorn Germany	41	1.7k 1.0×	1.9k 1.7×	1.5k 1.5×	970 1.5×	628 1.2×	273	5.6k
Kenneth Steiglitz United States	19	1.2k 0.7×	1.1k 1.0×	1.6k 1.6×	843 1.3×	907 1.7×	45	5.2k
Shang‐Hua Teng United States	37	1.2k 0.7×	1.4k 1.3×	1.3k 1.3×	723 1.1×	525 1.0×	154	4.9k
Ron Graham United States	25	842 0.5×	1.1k 1.0×	1.6k 1.6×	220 0.3×	729 1.4×	112	4.6k

Countries citing papers authored by G.E. Whitesides

Since Specialization

Citations

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

Fields of papers citing papers by G.E. Whitesides

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G.E. Whitesides. 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 G.E. Whitesides. The network helps show where G.E. Whitesides may publish in the future.

Co-authorship network of co-authors of G.E. Whitesides

This figure shows the co-authorship network connecting the top 25 collaborators of G.E. Whitesides. A scholar is included among the top collaborators of G.E. Whitesides 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 G.E. Whitesides. G.E. Whitesides is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

1.

Whitesides, G.E.. (1991). Technical note: Erroneous data in {open_quotes}Nuclear Safety Guide, TID-7016, Revision 2,{close_quotes} NUREG/CR-0095, ORNL/NUREG/CSD-6 (1978). 32(2). 2 indexed citations

2.

Whitesides, G.E.. (1983). Fission source convergence in identical arrays of fissile materials. Transactions of the American Nuclear Society. 45. 3 indexed citations

3.

Poston, J.W., et al.. (1974). Calculation of the HPRR Neutron Spectrum for Simulated Nuclear Accident Conditions. Health Physics. 26(3). 217–221. 8 indexed citations

4.

Whitesides, G.E.. (1971). DIFFICULTY IN COMPUTING THE K-EFFECTIVE OF THE WORLD.. Transactions of the American Nuclear Society. 31 indexed citations

5.

Whitesides, G.E.. (1970). The Art of Computer Programming. Nuclear Science and Engineering. 40(2). 358–358. 4199 indexed citations breakdown →

6.

Whitesides, G.E.. (1968). ADJOINT BIASING IN MONTE CARLO CRITICALITY CALCULATIONS.. Transactions of the American Nuclear Society. 1 indexed citations

7.

Verbinski, V.V., et al.. (1967). Measurements and Calculations of the Spectral and Spatial Details of the Fast-Neutron Flux in Water Shields. Nuclear Science and Engineering. 27(2). 283–298. 9 indexed citations

8.

Whitesides, G.E., et al.. (1966). FEW-GROUP MONTE CARLO CRITICALITY CALCULATIONS. Transactions of the American Nuclear Society. 1 indexed citations

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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