G.E. Whitesides

6.2k citations
8 papers · 4.3k · 1 hit paper · h-index 4

Impact in

Papers in

G.E. Whitesides

8 papers receiving 3.9k citations

G.E. Whitesides's Hit Papers

The Art of Computer Programming 1970 · 4.2k citations
4.2k0+18+37Years since publication10002.0k3.0k4.0k

Peers

G.E. Whitesides
Comparison fields: 5 of 161
  • Discrete Mathematics and Combinatorics 341
  • Computational Theory and Mathematics 1.1k
  • Hardware and Architecture 461
  • Artificial Intelligence 1.6k
  • Computer Networks and Communications 1.0k
Replace Donald Knuth with:
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G.E. Whitesides relative to Donald Knuth United States Donald Knuth's profile →
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Citations per year

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-authors

The 4 scholars most cited alongside G.E. Whitesides, 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 G.E. Whitesides Line = papers co-authored together G.E. Whitesides links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1
The Art of Computer Programming
Hit paper breakdown →
19704208
2
DIFFICULTY IN COMPUTING THE K-EFFECTIVE OF THE WORLD.
197131
3 19679
4 19748
5
Fission source convergence in identical arrays of fissile materials
19833
6
Technical note: Erroneous data in {open_quotes}Nuclear Safety Guide, TID-7016, Revision 2,{close_quotes} NUREG/CR-0095, ORNL/NUREG/CSD-6 (1978)
19912
7
FEW-GROUP MONTE CARLO CRITICALITY CALCULATIONS
19661
8
ADJOINT BIASING IN MONTE CARLO CRITICALITY CALCULATIONS.
19681

About G.E. Whitesides

G.E. Whitesides is a scholar working on Aerospace Engineering, Materials Chemistry, Pulmonary and Respiratory Medicine, Radiation and Safety, Risk, Reliability and Quality, having authored 8 papers that have together received 4.3k indexed citations. Recurring topics across this work include Nuclear reactor physics and engineering (4 papers), Graphite, nuclear technology, radiation studies (2 papers), Nuclear Materials and Properties (1 paper), Nuclear physics research studies (1 paper), Nuclear Physics and Applications (1 paper), Nuclear and radioactivity studies (1 paper), Radiation Therapy and Dosimetry (1 paper) and Radiation Detection and Scintillator Technologies (1 paper). The work is most often cited by research in Discrete Mathematics and Combinatorics (341 citations), Computational Theory and Mathematics (1.1k citations), Hardware and Architecture (461 citations), Artificial Intelligence (1.6k citations) and Computer Networks and Communications (1.0k citations). G.E. Whitesides has collaborated with scholars based in United States. Frequent co-authors include J.W. Poston, V.V. Verbinski, John C. Courtney and E.C. Crume. Their work appears in journals such as Nuclear Science and Engineering, Health Physics and Transactions of the American Nuclear 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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