Dynamic Shortest Paths
Dynamic Shortest Paths is a computational framework in graph theory that maintains shortest path information under dynamic modifications to the graph structure, such as edge insertions or deletions, distinguishing it from static shortest path algorithms by enabling efficient incremental updates without full recomputation.
170
Publications
8.4K
Citations
347
Authors
198
Institutions
Publications per year
2017–2026
40
Parents
170
A new approach to dynamic all pairs shortest paths
Camil Demetrescu, Giuseppe F. Italiano · Journal of the ACM · 2004 · 270 citations
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198
Massachusetts Institute of Technology
Cambridge, United States
13 h-index
21 publications
1.7K citations

Tel Aviv University
Tel Aviv, Israel
8 h-index
11 publications
490 citations

Sapienza University of Rome
Rome, Italy
8 h-index
14 publications
853 citations

Hong Kong University of Science and Technology
Hong Kong, Hong Kong
7 h-index
8 publications
240 citations

Carleton University
Ottawa, Canada
6 h-index
10 publications
442 citations

University of L'Aquila
L’Aquila, Italy
6 h-index
20 publications
386 citations
Microsoft (United States)
Redmond, United States
5 h-index
6 publications
145 citations

University of Rome Tor Vergata
Rome, Italy
5 h-index
6 publications
595 citations
1–8 of 198
7 publications · 209 citations
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5 publications · 291 citations
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TON · 4 publications · 656 citations
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4 publications · 62 citations
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Repository · 3 publications · 55 citations
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