Demo Data from VLDB 2026 / reviewers in the wild / expert
Amit M. Bhosle
dblp:94/2390
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2007
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Theory of computation · 2
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Theoretical computer science
1 paper |
Graph algorithms and graph theory · 70% Computational complexity · 30% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computational complexity
fine-grained complexity |
0.1 | 1 | 2007 | On the difficulty of some shortest path problems · ACM Trans. Algorithms 2007 |
Graph algorithms and graph theory
graph algorithms |
0.1 | 1 | 2007 | On the difficulty of some shortest path problems · ACM Trans. Algorithms 2007 |
Graph algorithms and graph theory › shortest path
k shortest simple paths |
0.1 | 1 | 2007 | On the difficulty of some shortest path problems · ACM Trans. Algorithms 2007 |
Graph algorithms and graph theory › graph algorithms › fault-tolerant graph structures › fault-tolerant shortest paths
replacement paths |
0.1 | 1 | 2007 | On the difficulty of some shortest path problems · ACM Trans. Algorithms 2007 |
Computational complexity › fine-grained complexity
conditional lower bounds |
0.0 | 1 | 2007 | On the difficulty of some shortest path problems · ACM Trans. Algorithms 2007 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2007 | On the difficulty of some shortest path problemsabstractWe prove superlinear lower bounds for some shortest path problems in directed graphs, where no such bounds were previously known. The central problem in our study is the replacement paths problem: Given a directed graph G with non-negative edge weights, and a shortest path P = {e1, e2, …, ep} between two nodes s and t, compute the shortest path distances from s to t in each of the p graphs obtained from G by deleting one of the edges ei. We show that the replacement paths problem requires Ω(m √n) time in the worst case whenever m = O(n √n). Our construction also implies a similar lower bound on the k shortest simple paths problem for a broad class of algorithms that includes all known algorithms for the problem. To put our lower bound in perspective, we note that both these problems (replacement paths and k shortest simple paths) can be solved in near-linear time for undirected graphs. John Hershberger 0001, Subhash Suri, Amit M. Bhosle |
ACM Trans. Algorithms | 3 |
| 2003 | On the Difficulty of Some Shortest Path Problems
John Hershberger 0001, Subhash Suri, Amit M. Bhosle |
STACS | 3 |