Dan E. Willard

50 papers receiving 3.9k citations

Dan E. Willard's Hit Papers

Natural Selection of Parental Ability to Vary the Sex Ratio of Offspring 1973 · 2.9k citations
2.9k0+17+35Years since publication50010001.5k2.0k2.5k

Peers

Dan E. Willard
Comparison fields: 5 of 152
  • Gender Studies 1.2k
  • Computer Graphics and Computer-Aided Design 385
  • Ecology, Evolution, Behavior and Systematics 1.0k
  • Signal Processing 515
  • Ecology 1.1k
Replace Byron J. T. Morgan with:
Byron J. T. Morgan United Kingdom
James R. Miller United States
Jenny Bangham United Kingdom
Michael Friendly Canada
K. Ruben Gabriel United States
Dianne Cook United States
R. N. Curnow United Kingdom
John J. McDermott United States
Jason Jones United States
James E. Mosimann United States
Dan E. Willard relative to Byron J. T. Morgan United Kingdom Byron J. T. Morgan's profile →
Citations per field
00.5×10×20×30×42.8×
Byron J. T. Morgan · 1×
Citations per year

Countries citing papers authored by Dan E. Willard

Since Specialization
Citations

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

Fields of papers citing papers by Dan E. Willard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 8 scholars most cited alongside Dan E. Willard, 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 Dan E. Willard Line = papers co-authored together Dan E. Willard links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Natural Selection of Parental Ability to Vary the Sex Ratio of Offspring
Hit paper breakdown →
19732895
2 1993197
3 1994194
4 1983143
5 1985117
6 1986107
7 1985103
8 198280
9 198457
10 199238
11
Predicate-oriented database search algorithms
197834
12 199033
13 200030
14 198226
15 200222
16 198219
17 198617
18 198516
19 198416
20 198615

About Dan E. Willard

Dan E. Willard is a scholar working on Artificial Intelligence, Signal Processing, Computer Networks and Communications, Computational Theory and Mathematics and Computer Graphics and Computer-Aided Design, having authored 51 papers that have together received 4.4k indexed citations. Recurring topics across this work include Data Management and Algorithms (23 papers), Algorithms and Data Compression (20 papers), Computational Geometry and Mesh Generation (12 papers), Advanced Database Systems and Queries (10 papers), Logic, Reasoning, and Knowledge (8 papers), Advanced Data Storage Technologies (5 papers), Advanced Algebra and Logic (5 papers) and Logic, programming, and type systems (5 papers). The work is most often cited by research in Gender Studies (1.2k citations), Computer Graphics and Computer-Aided Design (385 citations), Ecology, Evolution, Behavior and Systematics (1.0k citations), Signal Processing (515 citations) and Ecology (1.1k citations). Dan E. Willard has collaborated with scholars based in United States and Netherlands. Frequent co-authors include Robert Trivers, Michael L. Fredman, George S. Lueker, Brenda S. Baker, Scott M. Lanyon, Douglas F. Stotz, John H. Reif and Seth Chaiken. Their work appears in journals such as Journal of Computer and System Sciences, SIAM Journal on Computing, Journal of Symbolic Logic, Journal of the ACM and Information and Computation.

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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