Ankush Chatterjee

800 total citations
5 papers, 426 citations indexed

About

Ankush Chatterjee is a scholar working on Artificial Intelligence, Experimental and Cognitive Psychology and Information Systems. According to data from OpenAlex, Ankush Chatterjee has authored 5 papers receiving a total of 426 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 2 papers in Experimental and Cognitive Psychology and 1 paper in Information Systems. Recurrent topics in Ankush Chatterjee's work include Sentiment Analysis and Opinion Mining (3 papers), Topic Modeling (3 papers) and Emotion and Mood Recognition (2 papers). Ankush Chatterjee is often cited by papers focused on Sentiment Analysis and Opinion Mining (3 papers), Topic Modeling (3 papers) and Emotion and Mood Recognition (2 papers). Ankush Chatterjee collaborates with scholars based in India and United States. Ankush Chatterjee's co-authors include Puneet Agrawal, Umang Gupta, Radhakrishnan Srikanth, Manoj Kumar Chinnakotla, Michel Galley and Manish Gupta and has published in prestigious journals such as Computers in Human Behavior and arXiv (Cornell University).

In The Last Decade

Ankush Chatterjee

5 papers receiving 395 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ankush Chatterjee India 3 356 121 66 45 30 5 426
Puneet Agrawal India 4 357 1.0× 121 1.0× 66 1.0× 49 1.1× 30 1.0× 13 437
Mauajama Firdaus India 13 358 1.0× 71 0.6× 56 0.8× 31 0.7× 18 0.6× 41 442
Ivandré Paraboni Brazil 12 331 0.9× 63 0.5× 73 1.1× 40 0.9× 18 0.6× 66 407
Seng-Beng Ho Singapore 8 266 0.7× 71 0.6× 29 0.4× 42 0.9× 39 1.3× 25 409
Tulika Saha India 12 250 0.7× 43 0.4× 82 1.2× 30 0.7× 23 0.8× 32 334
Manoj Kumar Chinnakotla India 10 461 1.3× 63 0.5× 39 0.6× 120 2.7× 34 1.1× 23 553
Radhakrishnan Srikanth United States 5 224 0.6× 63 0.5× 37 0.6× 34 0.8× 21 0.7× 7 294
Yash Mehta United Kingdom 4 134 0.4× 69 0.6× 98 1.5× 30 0.7× 24 0.8× 6 318
Wenbo Wang China 7 235 0.7× 49 0.4× 49 0.7× 50 1.1× 29 1.0× 21 306
Luyao Zhu China 11 292 0.8× 47 0.4× 20 0.3× 44 1.0× 48 1.6× 21 415

Countries citing papers authored by Ankush Chatterjee

Since Specialization
Citations

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

Fields of papers citing papers by Ankush Chatterjee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ankush Chatterjee

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

All Works

5 of 5 papers shown
1.
Chatterjee, Ankush, Manish Gupta, & Puneet Agrawal. (2020). FAQAugmenter: Suggesting Questions for Enterprise FAQ Pages. 829–832. 2 indexed citations
2.
Chatterjee, Ankush, et al.. (2019). SemEval-2019 Task 3: EmoContext Contextual Emotion Detection in Text. 39–48. 170 indexed citations
3.
Chatterjee, Ankush, et al.. (2019). Insights from Building an Open-Ended Conversational Agent. 6 indexed citations
4.
Chatterjee, Ankush, Umang Gupta, Manoj Kumar Chinnakotla, et al.. (2018). Understanding Emotions in Text Using Deep Learning and Big Data. Computers in Human Behavior. 93. 309–317. 247 indexed citations
5.
Gupta, Umang, Ankush Chatterjee, Radhakrishnan Srikanth, & Puneet Agrawal. (2017). Emotion Detection from Text. arXiv (Cornell University). 1 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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