Demo Data from SIGIR 2026 / reviewers in the wild / expert
Lingeshwaran Palaniappan
dblp:61/5665
· DBLP profile ↗
3ranked-venue papers
0as first author
0since 2021 · last 2007
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1Systems, architecture and hardware · 1Human-computer interaction and ubiquitous computing · 1Theory of computation · 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.
| Theoretical computer science
2 papers |
Computational geometry · 81% Information theory · 19% | |
| Artificial intelligence
1 paper |
Motion planning and robot control · 100% |
Topics — the 7 heaviest of 7, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computational geometry
curve similarity |
0.0 | 1 | 2003 | Finding a curve in a map · SCG 2003 |
Computational geometry › curve similarity
fréchet distance |
0.0 | 1 | 2003 | Finding a curve in a map · SCG 2003 |
Computational geometry
motion planning |
0.0 | 1 | 2003 | Optimal strategies to track and capture a predictable target · ICRA 2003 |
Information theory › estimation theory › state estimation
target tracking |
0.0 | 1 | 2003 | Optimal strategies to track and capture a predictable target · ICRA 2003 |
Computational geometry
visibility |
0.0 | 1 | 2003 | Optimal strategies to track and capture a predictable target · ICRA 2003 |
Robotics › Motion planning and robot control
motion planning |
0.0 | 1 | 2003 | Optimal strategies to track and capture a predictable target · ICRA 2003 |
Computational geometry
geometric graph |
0.0 | 1 | 2003 | Finding a curve in a map · SCG 2003 |
Methods — techniques the papers use, named apart from their topics
shortest path algorithms · 0.0computational geometry algorithms · 0.0computational geometry algorithm · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2007 | Buddy tracking - efficient proximity detection among mobile friends
Arnon Amir, Alon Efrat, Jussi Myllymaki, Lingeshwaran Palaniappan, Kevin Wampler |
Pervasive Mob. Comput. | 4 |
| 2003 | Finding a curve in a mapabstractGiven a polygonal curve and a geometric graph, we describe an efficient algorithm to find a path in the graph which is most similar to the curve, using the well-known Fréchet distance for curves. Carola Wenk, Helmut Alt, Alon Efrat, Lingeshwaran Palaniappan, Günter Rote |
SCG | 4 |
| 2003 | Optimal strategies to track and capture a predictable targetabstractWe present an O(nlog/sup 1+/spl epsiv// n)-time algorithm for computing the optimal robot motion that maintains line-of-sight visibility between a target moving inside a polygon with n vertices which may contain holes. The motion is optimal for the tracking robot (the observer) in the sense that the target either remains visible for the longest possible time, or it is captured by the observer in the minimum time when feasible. Thus, the algorithm maximizes the minimum time-to-escape. Our algorithm assumes that the target moves along a known path. Thus, it is an off-line algorithm. Our theoretical results for the algorithm's runtime assume that the target is moving along a shortest path from its source to its destination. This assumption, however is not required to prove the optimality of the computed solution, hence the algorithm remains correct for the general case. Alon Efrat, Héctor H. González-Baños, Stephen G. Kobourov, Lingeshwaran Palaniappan |
ICRA | 4 |