Shashi Narayan

5.8k citations
32 papers · 1.5k · 1 hit paper · h-index 14

Impact in

    • Topic Modeling
    • Natural Language Processing Techniques
    • Advanced Text Analysis Techniques
    • Text Readability and Simplification
    • Speech and dialogue systems
    • Text and Document Classification Technologies

Papers in

Shashi Narayan

31 papers receiving 1.4k citations

Shashi Narayan's Hit Papers

Don’t Give Me the Details, Just the Summary! Topic-Aware Convolutional Neural Networks for Extreme Summarization 2018 · 652 citations
6520+2+5Years since publication200400600

Peers

Shashi Narayan
Comparison fields: 5 of 92
  • Artificial Intelligence 1.3k
  • Health Informatics 18
  • Computer Vision and Pattern Recognition 176
  • General Social Sciences 21
  • Information Systems 118
Replace Mikel Artetxe with:
Mikel Artetxe Spain
Ian Tenney United States
Steffen Eger Germany
Andrew M. Dai United States
Yeyun Gong China
Aditya Siddhant United States
Marjan Ghazvininejad United States
Swabha Swayamdipta United States
Yonatan Belinkov Israel
Shashi Narayan relative to Mikel Artetxe Spain Mikel Artetxe's profile →
Citations per field
00.5×
Mikel Artetxe · 1×
Citations per year

Countries citing papers authored by Shashi Narayan

Since Specialization
Citations

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

Fields of papers citing papers by Shashi Narayan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Shashi Narayan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Shashi Narayan Line = papers co-authored together Shashi Narayan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Don’t Give Me the Details, Just the Summary! Topic-Aware Convolutional Neural Networks for Extreme Summarization
Hit paper breakdown →
2018652
2 2017204
3
The 2017 Conference on Empirical Methods on Natural Language Processing (EMNLP)
2015183
4
Proceedings of the 24th International Conference on Computational Linguistics (COLING)
201269
5 202166
6 201862
7 201739
8 201027
9 201624
10 202117
11 201817
12 202216
13 200216
14 202314
15 201613
16 200811
17 20189
18 20238
19 20207
20 20157

About Shashi Narayan

Shashi Narayan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Molecular Biology, Management Science and Operations Research and Signal Processing, having authored 32 papers that have together received 1.5k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (23 papers), Topic Modeling (22 papers), Advanced Text Analysis Techniques (5 papers), Speech and dialogue systems (4 papers), Speech Recognition and Synthesis (3 papers), Text Readability and Simplification (3 papers), Multimodal Machine Learning Applications (3 papers) and Data Quality and Management (2 papers). The work is most often cited by research in Artificial Intelligence (1.3k citations), Health Informatics (18 citations), Computer Vision and Pattern Recognition (176 citations), General Social Sciences (21 citations) and Information Systems (118 citations). Shashi Narayan has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Shay B. Cohen, Mirella Lapata, Claire Gardent, Anastasia Shimorina, Laura Perez-Beltrachini, Joshua Maynez, Maximin Coavoux, Gonçalo Simões, Yao Zhao and Ryan McDonald. Their work appears in journals such as Transactions of the Association for Computational Linguistics, Computational Linguistics, Pattern Recognition Letters, The Indian Journal of Pediatrics and Figshare.

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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