Daniel D. Sleator

11.6k citations
41 papers · 6.4k indexed · 3 hit papers · h-index 27

Daniel D. Sleator

39 papers receiving 5.7k citations

Hit Papers

Self-adjusting binary search trees68619832026199720114008001.2k

Peers

Daniel D. Sleator
Comparison fields: 5 of 108
  • Computer Networks and Communications 4.0k
  • Computer Graphics and Computer-Aided Design 546
  • Computational Theory and Mathematics 1.7k
  • Hardware and Architecture 676
  • Industrial and Manufacturing Engineering 691
Replace Shimon Even with:
Shimon Even Israel
Nimrod Megiddo United States
Zvi Galil United States
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Sanjeev Khanna United States
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Daniel D. Sleator relative to Shimon Even Israel Shimon Even's profile →
Citations per field
00.5×1.5×1.8×
Shimon Even · 1×
Citations per year

Countries citing papers authored by Daniel D. Sleator

Since Specialization
Citations

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

Fields of papers citing papers by Daniel D. Sleator

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Daniel D. Sleator, 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 Daniel D. Sleator Line = papers co-authored together Daniel D. Sleator links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20180
2 20186
3 200613
4
Multi-splay trees
20061
5
Competitive Analysis of Call Admission Algorithms that Allow Delay
19958
6
Parsing English with a Link Grammar
1995427
7 19925
8 199215
9 19916
10 1991271
11 1990223
12 1989254
13 198916
14 198840
15 1988156
16 1986383
17 198413
18
A data structure for dynamic treesbreakdown →
1983550
19 198360
20
An 0 (nm log n) algorithm for maximum network flow
198029

About Daniel D. Sleator

Daniel D. Sleator is a scholar working on Computer Networks and Communications, Computational Theory and Mathematics and Artificial Intelligence, having authored 41 papers that have together received 6.4k indexed citations. Recurring topics across this work include Algorithms and Data Compression (24 papers), Optimization and Search Problems (16 papers), Complexity and Algorithms in Graphs (7 papers), semigroups and automata theory (6 papers), Distributed systems and fault tolerance (5 papers), Data Management and Algorithms (5 papers), Advanced Graph Theory Research (4 papers) and Caching and Content Delivery (3 papers). The work is most often cited by research in Computer Networks and Communications (4.0k citations), Computer Graphics and Computer-Aided Design (546 citations) and Computational Theory and Mathematics (1.7k citations). Daniel D. Sleator has collaborated with scholars based in United States, Israel and Canada. Frequent co-authors include Robert E. Tarjan, Lyle A. McGeoch, Mark S. Manasse, David Temperley, James R. Driscoll, Neil Sarnak, Larry Rudolph, Anna R. Karlin, Paul F. Dietz and Jon Bentley. Their work appears in journals such as Algorithmica, Journal of Algorithms, Journal of the ACM, SIAM Journal on Computing and Journal of Computer and System Sciences.

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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