Ankur P. Parikh

4.7k total citations · 2 hit papers
31 papers, 2.0k citations indexed

About

Ankur P. Parikh is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ankur P. Parikh has authored 31 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 7 papers in Molecular Biology and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ankur P. Parikh's work include Topic Modeling (18 papers), Natural Language Processing Techniques (16 papers) and Multimodal Machine Learning Applications (6 papers). Ankur P. Parikh is often cited by papers focused on Topic Modeling (18 papers), Natural Language Processing Techniques (16 papers) and Multimodal Machine Learning Applications (6 papers). Ankur P. Parikh collaborates with scholars based in United States, India and United Kingdom. Ankur P. Parikh's co-authors include Jakob Uszkoreit, Dipanjan Das, Oscar Täckström, Tom Kwiatkowski, Kristina Toutanova, Andrew M. Dai, Chris Alberti, Kenton Lee, Ming‐Wei Chang and Illia Polosukhin and has published in prestigious journals such as Journal of the American Statistical Association, Bioinformatics and BMC Bioinformatics.

In The Last Decade

Ankur P. Parikh

28 papers receiving 1.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Natural Questions: A Benchmark for Question Answering Research

2019 984 citations Tom Kwiatkowski, Ankur P. Parikh et al. profile →
A Decomposable Attention Model for Natural Language Inference

2016 772 citations Ankur P. Parikh, Oscar Täckström et al. profile →

Peers

Countries citing papers authored by Ankur P. Parikh

Since Specialization

Citations

This map shows the geographic impact of Ankur P. Parikh's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ankur P. Parikh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ankur P. Parikh more than expected).

Fields of papers citing papers by Ankur P. Parikh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ankur P. Parikh. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ankur P. Parikh. The network helps show where Ankur P. Parikh may publish in the future.

Co-authorship network of co-authors of Ankur P. Parikh

This figure shows the co-authorship network connecting the top 25 collaborators of Ankur P. Parikh. A scholar is included among the top collaborators of Ankur P. Parikh based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ankur P. Parikh. Ankur P. Parikh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	Upaya at ArabicNLU Shared-Task: Arabic Lexical Disambiguation using Large Language Models 2024 ·(unknown), (unknown), Ankur P. Parikh	0
2	Reward Gaming in Conditional Text Generation 2023 ·Richard Yuanzhe Pang, Vishakh Padmakumar, Thibault Sellam, Ankur P. Parikh, He He	1
3	SEAHORSE: A Multilingual, Multifaceted Dataset for Summarization Evaluation 2023 ·Elizabeth A. Clark, Shruti Rijhwani, Sebastian Gehrmann, Joshua Maynez, Roee Aharoni, V. A. Nikolaev, Thibault Sellam, Aditya Siddhant, Dipanjan Das, Ankur P. Parikh	4
4	Nearest Neighbor Search over Vectorized Lexico-Syntactic Patterns for Relation Extraction from Financial Documents 2023 ·(unknown), Ankur P. Parikh	1
5	TaTA: A Multilingual Table-to-Text Dataset for African Languages 2023 ·Sebastian Gehrmann, Sebastian Ruder, V. A. Nikolaev, (unknown), (unknown), Ankur P. Parikh, Clara Rivera	2
6	GPT-FinRE: In-context Learning for Financial Relation Extraction using Large Language Models 2023 ·(unknown), Ankur P. Parikh	11
7	Improving Compositional Generalization with Self-Training for Data-to-Text Generation 2022 ·Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) ·(unknown), Jinfeng Rao, Yi Tay, Mihir Kale, Ankur P. Parikh, Emma Strubell	12
8	Thieves of Sesame Street: Model Extraction on BERT-based APIs 2020 ·arXiv (Cornell University) ·Kalpesh Krishna, Gaurav Singh Tomar, Ankur P. Parikh, Nicolas Papernot, Mohit Iyyer	9
9	Learning to Evaluate Translation Beyond English: BLEURT Submissions to the WMT Metrics 2020 Shared Task 2020 ·arXiv (Cornell University) ·Thibault Sellam, (unknown), Hyung Won Chung, Sebastian Gehrmann, Qijun Tan, Markus Freitag, Dipanjan Das, Ankur P. Parikh	2
10	Phrase-Indexed Question Answering: A New Challenge for Scalable Document Comprehension 2018 ·Minjoon Seo, Tom Kwiatkowski, Ankur P. Parikh, Ali Farhadi, Hannaneh Hajishirzi	22
11	On Sparse Nonparametric Conditional Covariance Selection 2018 ·Figshare ·Mladen Kolar, Ankur P. Parikh, Eric P. Xing	6
12	Kernel Embeddings of Latent Tree Graphical Models 2018 ·Figshare ·Le Song, Eric P. Xing, Ankur P. Parikh	2
13	Multiscale Community Blockmodel for Network Exploration. 2018 ·Research Showcase @ Carnegie Mellon University (Carnegie Mellon University) ·Qirong Ho, Ankur P. Parikh, (unknown)	4
14	A Spectral Algorithm for Latent Junction Trees 2018 ·Figshare ·Ankur P. Parikh, Le Song, Mariya Ishteva, (unknown), Eric P. Xing	1
15	A Decomposable Attention Model for Natural Language Inference breakdown → 2016 ·Ankur P. Parikh, Oscar Täckström, Dipanjan Das, Jakob Uszkoreit	772
16	Spectral Unsupervised Parsing with Additive Tree Metrics 2014 ·Edinburgh Research Explorer ·Ankur P. Parikh, Shay B. Cohen, Eric P. Xing	10
17	A Multiscale Community Blockmodel for Network Exploration 2012 ·Journal of the American Statistical Association ·Qirong Ho, Ankur P. Parikh, Eric P. Xing	17
18	Enabling dynamic network analysis through visualization in TVNViewer 2012 ·BMC Bioinformatics ·(unknown), Jing Xiang, Ankur P. Parikh, Peter Kinnaird, Eric P. Xing	1
19	A Spectral Algorithm for Latent Tree Graphical Models 2011 ·International Conference on Machine Learning ·Le Song, Eric P. Xing, Ankur P. Parikh	31
20	TREEGL: reverse engineering tree-evolving gene networks underlying developing biological lineages 2011 ·Bioinformatics ·Ankur P. Parikh, Wei Wu, (unknown), Eric P. Xing	14

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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