Sunil Saumya

1.1k citations
33 papers · 744 · 1 hit paper · h-index 11

Impact in

Papers in

Sunil Saumya

28 papers receiving 702 citations

Sunil Saumya's Hit Papers

Predicting the “helpfulness” of online consumer reviews 2016 · 328 citations
3280+3+6Years since publication100200300

Peers

Sunil Saumya
Comparison fields: 5 of 85
  • Artificial Intelligence 459
  • Information Systems and Management 97
  • Marketing 107
  • Information Systems 209
  • Sociology and Political Science 376
Replace Joon Yeon Choeh with:
Joon Yeon Choeh South Korea
Qiongwei Ye China
Wolfgang Wörndl Germany
Madhu Prabaker United States
Lei Hou China
Gaurav Sabnis United States
Carolyn Brodie United States
Irena Pletikosa Cvijikj Switzerland
Jaeung Lee United States
Sai Ho Kwok Hong Kong
Sunil Saumya relative to Joon Yeon Choeh South Korea Joon Yeon Choeh's profile →
Citations per field
00.5×4.3×
Joon Yeon Choeh · 1×
Citations per year

Countries citing papers authored by Sunil Saumya

Since Specialization
Citations

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

Fields of papers citing papers by Sunil Saumya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside Sunil Saumya, 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 Sunil Saumya Line = papers co-authored together Sunil Saumya links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Predicting the “helpfulness” of online consumer reviews
Hit paper breakdown →
2016328
2 202272
3 201956
4 201847
5 202036
6 201933
7 202327
8 202226
9 202114
10 202213
11 202410
12
Offensive language identification in Dravidian code mixed social media text
202110
13 20228
14
NSIT & IIITDWD @ HASOC 2020: Deep learning model for hate-speech identification in Indo-European languages.
20207
15 20227
16
NITP-AI-NLP@HASOC-Dravidian-CodeMix-FIRE2020: A Machine Learning Approach to Identify Offensive Languages from Dravidian Code-Mixed Text.
20206
17 20236
18 20226
19 20236
20 20224

About Sunil Saumya

Sunil Saumya is a scholar working on Artificial Intelligence, Sociology and Political Science, Information Systems, Communication and Signal Processing, having authored 33 papers that have together received 744 indexed citations. Recurring topics across this work include Hate Speech and Cyberbullying Detection (17 papers), Sentiment Analysis and Opinion Mining (9 papers), Spam and Phishing Detection (6 papers), Misinformation and Its Impacts (6 papers), Digital Marketing and Social Media (3 papers), Topic Modeling (3 papers), Advanced Malware Detection Techniques (3 papers) and Swearing, Euphemism, Multilingualism (2 papers). The work is most often cited by research in Artificial Intelligence (459 citations), Information Systems and Management (97 citations), Marketing (107 citations), Information Systems (209 citations) and Sociology and Political Science (376 citations). Sunil Saumya has collaborated with scholars based in India, United Kingdom and Saudi Arabia. Frequent co-authors include Jyoti Prakash Singh, Pradeep Kumar Roy, Yogesh K. Dwivedi, Nripendra P. Rana, Abhinav Kumar, Arun Chauhan, Snehasish Banerjee, Adnan Gutub, V. Lokesha and Satyanarayan. Their work appears in journals such as Engineering Applications of Artificial Intelligence, Tribology International, Complex & Intelligent Systems, CAAI Transactions on Intelligence Technology and Electronic Commerce Research.

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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