Demo Data from SIGIR 2026 / reviewers in the wild / expert
Thomas Yan
dblp:24/2845
· DBLP profile ↗
2ranked-venue papers
1as first author
0since 2021 · last 2005
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Theory of computation · 1 · 1 first-authorApplied, interdisciplinary, general and emerging computing · 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% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology
biological database |
0.1 | 1 | 2005 | Querying and computing with BioCyc databases · Bioinform. 2005 |
Bioinformatics and computational biology › biological database
pathway database |
0.1 | 1 | 2005 | Querying and computing with BioCyc databases · Bioinform. 2005 |
Methods — techniques the papers use, named apart from their topics
SQL · 0.1API access · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2005 | Querying and computing with BioCyc databasesabstractSummary: We describe multiple methods for accessing and querying the complex and integrated cellular data in the BioCyc family of databases: access through multiple file formats, access through Application Program Interfaces (APIs) for LISP, Perl and Java, and SQL access through the BioWarehouse relational database. Availability: The Pathway Tools software and 20 BioCyc DBs in Tiers 1 and 2 are freely available to academic users; fees apply to some types of commercial use. For download instructions see http://BioCyc.org/download.shtml Supplementary information: For more details on programmatic access to BioCyc DBs, see http://bioinformatics.ai.sri.com/ptools/ptools-resources.html Contact: [email protected] Markus Krummenacker, Suzanne M. Paley, Lukas A. Mueller, Thomas Yan, Peter D. Karp |
Bioinform. | 4 |
| 1998 | The Geobucket Data Structure for PolynomialsabstractThegeobucketdata structure is a suitable intermediate representation of polynomials for performing large numbers of polynomial additions in the face of interspersed lead-term extractions. A sum involvingNterms has worst-case running timeO(N log N), matching or surpassing the performance of lists and binomial heaps. This makes the geobucket a good choice for performing reductions in Gröbner basis computations. Thomas Yan |
J. Symb. Comput. | 1 |