VLDB 2026 Research / reviewers in the wild / expert
Sitaram Dikshitulu
dblp:72/1582
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 1997
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1Databases, data management, data science and information retrieval · 1
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.
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Bioinformatics and computational biology · 100% | |
| Databases, data mining, and information retrieval
1 paper |
Data mining · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › structural bioinformatics
molecular structure analysis |
0.0 | 1 | 1997 | Automated Discovery of Active Motifs in Three Dimensional Molecules · KDD 1997 |
Bioinformatics and computational biology › sequence analysis
motif discovery |
0.0 | 1 | 1997 | Automated Discovery of Active Motifs in Three Dimensional Molecules · KDD 1997 |
Data mining
pattern mining |
0.0 | 1 | 1997 | Automated Discovery of Active Motifs in Three Dimensional Molecules · KDD 1997 |
Methods — techniques the papers use, named apart from their topics
graph mining · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1997 | Automated Discovery of Active Motifs in Three Dimensional Molecules
Jason Tsong-Li Wang, Dennis E. Shasha, Bruce A. Shapiro, Sitaram Dikshitulu, Isidore Rigoutsos, Kaizhong Zhang |
KDD | 5 |