W. Daniel Hillis

5.9k total citations · 2 hit papers
56 papers, 3.8k citations indexed

About

W. Daniel Hillis is a scholar working on Epidemiology, Hardware and Architecture and Infectious Diseases. According to data from OpenAlex, W. Daniel Hillis has authored 56 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Epidemiology, 10 papers in Hardware and Architecture and 9 papers in Infectious Diseases. Recurrent topics in W. Daniel Hillis's work include Parallel Computing and Optimization Techniques (9 papers), Hepatitis B Virus Studies (7 papers) and Viral gastroenteritis research and epidemiology (6 papers). W. Daniel Hillis is often cited by papers focused on Parallel Computing and Optimization Techniques (9 papers), Hepatitis B Virus Studies (7 papers) and Viral gastroenteritis research and epidemiology (6 papers). W. Daniel Hillis collaborates with scholars based in United States, Denmark and Venezuela. W. Daniel Hillis's co-authors include Guy L. Steele, Lewis W. Tucker, Frederik B. Bang, Charles E. Leiserson, Bradley C. Kuszmaul, David C. Douglas, Jeffrey V. Hill, Argye Hillis, William R. Weisburger and Wilma Β. Bias and has published in prestigious journals such as Nature, Science and New England Journal of Medicine.

In The Last Decade

W. Daniel Hillis

55 papers receiving 3.3k citations

Hit Papers

The Connection Machine 1986 2026 1999 2012 1987 1986 250 500 750 1000

Peers

W. Daniel Hillis
Comparison fields: 5 of 170
  • Computer Networks and Communications 1.2k
  • Artificial Intelligence 1.2k
  • Hardware and Architecture 1.0k
  • Computational Theory and Mathematics 496
  • Electrical and Electronic Engineering 481
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Citations per field, relative to W. Daniel Hillis
W. Daniel Hillis · 1×
Citations per year, relative to W. Daniel Hillis
W. Daniel Hillis · 1×

Countries citing papers authored by W. Daniel Hillis

Since Specialization
Citations

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

Fields of papers citing papers by W. Daniel Hillis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by W. Daniel Hillis. 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 W. Daniel Hillis. The network helps show where W. Daniel Hillis may publish in the future.

Co-authorship network of co-authors of W. Daniel Hillis

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 27
2 2
3 239
4
The network architecture of the connection machine CM-5 (extended abstract)
2
5
What is massively parallel computing, and why is it important?
6
6 18
7 1
8
Co-evolving parasites improve simulated evolution as an optimization procedure
301
9
Massively parallel supercomputing : the Connection Machine
1
10 1
11
Intelligence as an emergent behavior: or, the songs of Eden
53
12 1
13 141
14 43
15 51
16 11
17 5
18
Etiology of viral hepatitis.
5
19 3
20 22

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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