Piyush Arora

538 total citations
20 papers, 368 citations indexed

About

Piyush Arora is a scholar working on Artificial Intelligence, Information Systems and Management Science and Operations Research. According to data from OpenAlex, Piyush Arora has authored 20 papers receiving a total of 368 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 9 papers in Information Systems and 2 papers in Management Science and Operations Research. Recurrent topics in Piyush Arora's work include Topic Modeling (16 papers), Advanced Text Analysis Techniques (7 papers) and Natural Language Processing Techniques (7 papers). Piyush Arora is often cited by papers focused on Topic Modeling (16 papers), Advanced Text Analysis Techniques (7 papers) and Natural Language Processing Techniques (7 papers). Piyush Arora collaborates with scholars based in Ireland, India and United Kingdom. Piyush Arora's co-authors include Vasudeva Varma, Jennifer Foster, Dasha Bogdanova, Santiago Cortés, Joachim Wagner, Lamia Tounsi, Gareth J. F. Jones, Debasis Ganguly, Alan F. Smeaton and I‐Han Hsiao and has published in prestigious journals such as Language Resources and Evaluation, Meeting of the Association for Computational Linguistics and Arrow@dit (Dublin Institute of Technology).

In The Last Decade

Piyush Arora

19 papers receiving 333 citations

Peers

Piyush Arora

CSA

SPS

SOFTW

Michael Völske Germany

Mathieu Lafourcade France

Denis Savenkov United States

Yohei Seki Japan

Amit Kumar Jakhar India

Simone Filice Italy

Wenxuan Zhang Hong Kong

Cem Akkaya United States

Suzan Üsküdarlı Türkiye

Megha Srivastava United States

Michael Völske Germany

Piyush Arora

189 ×0.6

89 ×0.9

12 ×0.5

CSA

14 ×0.8

SPS

2 ×0.2

SOFTW

Citations per year, relative to Piyush Arora Piyush Arora (= 1×) peers Michael Völske

Countries citing papers authored by Piyush Arora

Since Specialization

Citations

This map shows the geographic impact of Piyush Arora'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 Piyush Arora with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Piyush Arora more than expected).

Fields of papers citing papers by Piyush Arora

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Piyush Arora. 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 Piyush Arora. The network helps show where Piyush Arora may publish in the future.

Co-authorship network of co-authors of Piyush Arora

This figure shows the co-authorship network connecting the top 25 collaborators of Piyush Arora. A scholar is included among the top collaborators of Piyush Arora 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 Piyush Arora. Piyush Arora is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Arora, Piyush, et al.. (2021). Class-Based Order-Independent Models of Natural Language for Bayesian Auto-Complete Inference. 1–7. 1 indexed citations

Arora, Piyush & Priya Radhakrishnan. (2020). AMEX AI-Labs: An Investigative Study on Extractive Summarization of Financial Documents. 137–142. 1 indexed citations

Arora, Piyush, et al.. (2020). An Investigative Study of Multi-Modal Cross-Lingual Retrieval. 58–67. 2 indexed citations

Arora, Piyush, et al.. (2019). user2code2vec. Arrow@dit (Dublin Institute of Technology). 86–95. 20 indexed citations

Arora, Piyush, et al.. (2018). Challenges in the Development of Effective Systems for Professional Legal Search.. International ACM SIGIR Conference on Research and Development in Information Retrieval. 29–34. 4 indexed citations

Arora, Piyush & Gareth J. F. Jones. (2016). Position paper: promoting user engagement and learning in search tasks by effective document representation. Arrow@dit (Dublin Institute of Technology).

Hokamp, Chris & Piyush Arora. (2016). DCU-SEManiacs at SemEval-2016 Task 1: Synthetic Paragram Embeddings for Semantic Textual Similarity. 656–662. 1 indexed citations

Arora, Piyush, Debasis Ganguly, & Gareth J. F. Jones. (2016). Nearest Neighbour based Transformation Functions for Text Classification. Arrow@dit (Dublin Institute of Technology). 299–302. 3 indexed citations

Arora, Piyush, et al.. (2015). A Comparative Study of Online Translation Services for Cross Language Information Retrieval. Dublin City University Open Access Institutional Repository (Dublin City University). 859–864. 12 indexed citations

10.

Arora, Piyush, Debasis Ganguly, & Gareth J. F. Jones. (2015). The Good, the Bad and their Kins. 1232–1239. 29 indexed citations

11.

Arora, Piyush. (2015). Promoting User Engagement and Learning in Amorphous Search Tasks. 1051–1051. 2 indexed citations

12.

Arora, Piyush, Chris Hokamp, Jennifer Foster, & Gareth J. F. Jones. (2015). DCU: Using Distributional Semantics and Domain Adaptation for the Semantic Textual Similarity SemEval-2015 Task 2. 143–147. 4 indexed citations

13.

Wagner, Joachim, Piyush Arora, Santiago Cortés, et al.. (2014). DCU: Aspect-based Polarity Classification for SemEval Task 4. 223–229. 161 indexed citations

14.

Haque, Rejwanul, et al.. (2014). DCU-Lingo24 Participation in WMT 2014 Hindi-English Translation task. 215–220. 2 indexed citations

15.

Arora, Piyush, Jennifer Foster, & Gareth J. F. Jones. (2013). DCU at FIRE 2013: Cross-Language !ndian News Story Search. Arrow@dit (Dublin Institute of Technology). 6 indexed citations

16.

Arora, Piyush, Jennifer Foster, & Gareth J. F. Jones. (2013). Applying Query Formulation and Fusion Techniques For Cross Language News Story Search. 1–9. 1 indexed citations

17.

Arora, Piyush, et al.. (2012). Hindi Subjective Lexicon: A Lexical Resource for Hindi Adjective Polarity Classification. Language Resources and Evaluation. 1189–1196. 31 indexed citations

18.

Arora, Piyush, et al.. (2012). Mining Sentiments from Tweets. Meeting of the Association for Computational Linguistics. 11–18. 63 indexed citations

19.

Arora, Piyush, et al.. (2012). Entity Centric Opinion Mining from Blogs. 53–64. 1 indexed citations

20.

Arora, Piyush, et al.. (2011). Towards Enhanced Opinion Classification using NLP Techniques.. 101–107. 24 indexed citations

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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