Shachi Paul

14 total papers · 1.1k total citations
4 papers, 124 citations indexed

About

Shachi Paul is a scholar working on Artificial Intelligence, Transportation and Building and Construction. According to data from OpenAlex, Shachi Paul has authored 4 papers receiving a total of 124 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 1 paper in Transportation and 1 paper in Building and Construction. Recurrent topics in Shachi Paul's work include Natural Language Processing Techniques (3 papers), Topic Modeling (3 papers) and Speech and dialogue systems (2 papers). Shachi Paul is often cited by papers focused on Natural Language Processing Techniques (3 papers), Topic Modeling (3 papers) and Speech and dialogue systems (2 papers). Shachi Paul collaborates with scholars based in United States and India. Shachi Paul's co-authors include Rahul Goel, Mihail Eric, Shuyang Gao, Dilek Hakkani‐Tür, Sanchit Agarwal, Abhishek Sethi, Shyam Upadhyay, Jingfeng Yang, Aditya Gupta and Anand Gupta and has published in prestigious journals such as Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).

In The Last Decade

Shachi Paul

4 papers receiving 115 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Shachi Paul 110 20 14 10 6 4 124
Jan Trienes 179 1.6× 21 1.1× 12 0.9× 3 0.3× 6 1.0× 6 237
Gesina Schwalbe 109 1.0× 15 0.8× 7 0.5× 2 0.2× 8 1.3× 5 146
David Schneeberger 123 1.1× 12 0.6× 10 0.7× 2 0.2× 16 2.7× 5 223
Leila Arras 175 1.6× 38 1.9× 12 0.9× 2 0.2× 12 2.0× 5 246
Christopher Fifty 100 0.9× 28 1.4× 5 0.4× 3 0.3× 31 5.2× 2 117
Pablo Pedemonte 81 0.7× 11 0.6× 7 0.5× 2 0.2× 7 1.2× 7 105
Manoj Acharya 38 0.3× 35 1.8× 9 0.6× 25 2.5× 4 0.7× 6 110
Pankaj Chittora 122 1.1× 11 0.6× 6 0.4× 2 0.2× 20 3.3× 3 247
Xiyou Zhou 106 1.0× 26 1.3× 32 2.3× 4 0.4× 22 3.7× 5 136
M. Ramakrishna Murty 67 0.6× 12 0.6× 3 0.2× 5 0.5× 28 4.7× 7 103

Countries citing papers authored by Shachi Paul

Since Specialization
Citations

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

Fields of papers citing papers by Shachi Paul

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shachi Paul

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

All Works

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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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