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- Pankaj K. Agarwal

Discipline name
H-index
Citations
Publications
World Ranking
National Ranking

Mathematics
H-index
65
Citations
14,986
248
World Ranking
178
National Ranking
95

Computer Science
H-index
69
Citations
17,872
316
World Ranking
876
National Ranking
526

2002 - ACM Fellow For contributions to computational geometry and for building and strengthening links between this area and many of its applications.

1996 - Fellow of Alfred P. Sloan Foundation

- Artificial intelligence
- Algorithm
- Gene

Pankaj K. Agarwal mainly investigates Combinatorics, Discrete mathematics, Algorithm, Computational geometry and Set. Many of his studies on Combinatorics involve topics that are commonly interrelated, such as Plane. His studies deal with areas such as Rectangle, Ball, Interval, Euclidean geometry and Point as well as Discrete mathematics.

Pankaj K. Agarwal interconnects Experimental data, Extrapolation, Data structure and Consistency in the investigation of issues within Algorithm. His study in Set is interdisciplinary in nature, drawing from both Data mining and Index. His Heuristics research includes themes of Genetics and Computational biology.

- Initial sequencing and comparative analysis of the mouse genome. (5789 citations)
- Davenport–Schinzel Sequences and their Geometric Applications (869 citations)
- Simplification envelopes (490 citations)

His primary scientific interests are in Combinatorics, Discrete mathematics, Set, Algorithm and Data structure. His Combinatorics study frequently draws parallels with other fields, such as Plane. His studies in Discrete mathematics integrate themes in fields like Rectangle and Constant.

He combines subjects such as Range, Point and Space with his study of Set. The Data structure study combines topics in areas such as Computational geometry and Theoretical computer science. Pankaj K. Agarwal performs multidisciplinary study on Randomized algorithm and Running time in his works.

- Combinatorics (51.76%)
- Discrete mathematics (20.22%)
- Set (18.37%)

- Combinatorics (51.76%)
- Set (18.37%)
- Data structure (14.47%)

The scientist’s investigation covers issues in Combinatorics, Set, Data structure, Point and Time complexity. His research on Combinatorics frequently links to adjacent areas such as Kinetic data structure. His Set research is multidisciplinary, relying on both Range, Algorithm, Tuple and Cluster analysis.

His Data structure study combines topics from a wide range of disciplines, such as Computational geometry and Terrain. His Point study incorporates themes from Discrete mathematics, Dynamic time warping, Shortest path problem, k-nearest neighbors algorithm and Rectangle. His Time complexity research incorporates elements of Complement and Metric space.

- Sharp Upper and Lower Bounds on the Length of General Davenport-Schinzel Sequences (154 citations)
- Computational Fact Checking through Query Perturbations (24 citations)
- Systematic Analysis of Drug Targets Confirms Expression in Disease-Relevant Tissues (19 citations)

- Artificial intelligence
- Algorithm
- Statistics

Pankaj K. Agarwal spends much of his time researching Combinatorics, Set, Algorithm, Approximation algorithm and Data structure. Pankaj K. Agarwal has included themes like Rectangle, Upper and lower bounds and Metric in his Combinatorics study. The study incorporates disciplines such as Cluster analysis, Data mining and Greedy algorithm in addition to Set.

The concepts of his Algorithm study are interwoven with issues in Prior probability and Markov chain. The study incorporates disciplines such as Probability distribution and Theory of computation in addition to Approximation algorithm. Pankaj K. Agarwal focuses mostly in the field of Data structure, narrowing it down to matters related to Computational geometry and, in some cases, Simplex, Series and Family of sets.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Initial sequencing and comparative analysis of the mouse genome.

Robert H. Waterston;Kerstin Lindblad-Toh;Ewan Birney;Jane Rogers.

Nature **(2002)**

7302 Citations

Davenport-Schinzel Sequences and their Geometric Applications

Micha Sharir;Pankaj K. Agarwal.

**(1995)**

935 Citations

Simplification envelopes

Jonathan Cohen;Amitabh Varshney;Dinesh Manocha;Greg Turk.

international conference on computer graphics and interactive techniques **(1996)**

875 Citations

Geometric Range Searching and Its Relatives

Pankaj K. Agarwal;Je Erickson.

**(2007)**

636 Citations

A Monte Carlo algorithm for fast projective clustering

Cecilia M. Procopiuc;Michael Jones;Pankaj K. Agarwal;T. M. Murali.

international conference on management of data **(2002)**

480 Citations

Indexing moving points

Pankaj K. Agarwal;Lars Arge;Jeff Erickson.

Journal of Computer and System Sciences **(2003)**

458 Citations

Exact and Approximation Algorithms for Clustering

P. K. Agarwal;C. M. Procopiuc.

Algorithmica **(2002)**

452 Citations

Geometric Approximation via Coresets

P. K. Agarwal;S. Har-Peled;K. Varadarajan.

Combinatorial and Computational Geometry, 2007, ISBN 0-521-84862-8, págs. 1-30 **(2007)**

408 Citations

Measurement Models for Electrochemical Impedance Spectroscopy I . Demonstration of Applicability

Pankaj Agarwal;Mark E. Orazem;Luis H. Garcia‐Rubio.

Journal of The Electrochemical Society **(1992)**

351 Citations

Approximating extent measures of points

Pankaj K. Agarwal;Sariel Har-Peled;Kasturi R. Varadarajan.

Journal of the ACM **(2004)**

351 Citations

Profile was last updated on December 6th, 2021.

Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).

The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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