Kumar Ravi

1.9k total citations · 1 hit paper
28 papers, 1.3k citations indexed

About

Kumar Ravi is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Information Systems. According to data from OpenAlex, Kumar Ravi has authored 28 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 9 papers in Cognitive Neuroscience and 7 papers in Information Systems. Recurrent topics in Kumar Ravi's work include Sentiment Analysis and Opinion Mining (15 papers), Advanced Text Analysis Techniques (9 papers) and EEG and Brain-Computer Interfaces (9 papers). Kumar Ravi is often cited by papers focused on Sentiment Analysis and Opinion Mining (15 papers), Advanced Text Analysis Techniques (9 papers) and EEG and Brain-Computer Interfaces (9 papers). Kumar Ravi collaborates with scholars based in India, Malaysia and United Kingdom. Kumar Ravi's co-authors include Vadlamani Ravi, Ramaswamy Palaniappan, Rahul Ghosh, E. Chandra, V. Uma, Vishal Vyas, Srinivasa Rao Mutheneni, Suryanaryana Murty Upadhyayula, Madhusudhan Rao Kadiri and Sriram Kumaraswamy and has published in prestigious journals such as Applied Soft Computing, Knowledge-Based Systems and Pattern Recognition Letters.

In The Last Decade

Kumar Ravi

28 papers receiving 1.2k citations

Hit Papers

A survey on opinion mining and sentiment analysis: Tasks,... 2015 2026 2018 2022 2015 250 500 750
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A survey on opinion mining and sentiment analysis: Tasks, approaches and applications
    2015 883 citations Kumar Ravi, Vadlamani Ravi Knowledge-Based Systems profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kumar Ravi India 14 881 303 203 167 108 28 1.3k
Nava Tintarev United Kingdom 17 688 0.8× 697 2.3× 167 0.8× 53 0.3× 172 1.6× 49 1.3k
Denis Parra Chile 22 550 0.6× 760 2.5× 236 1.2× 87 0.5× 120 1.1× 93 1.5k
Suppawong Tuarob Thailand 22 680 0.8× 342 1.1× 174 0.9× 41 0.2× 119 1.1× 75 1.2k
Ujwal Gadiraju Netherlands 23 734 0.8× 268 0.9× 301 1.5× 75 0.4× 193 1.8× 112 1.6k
Alice Oh South Korea 20 1.2k 1.4× 323 1.1× 286 1.4× 90 0.5× 36 0.3× 98 1.8k
Mária Bieliková Slovakia 19 790 0.9× 865 2.9× 176 0.9× 51 0.3× 61 0.6× 186 1.6k
Dani Yogatama United States 17 1.5k 1.7× 211 0.7× 93 0.5× 65 0.4× 74 0.7× 30 1.8k
Kevin Gimpel United States 22 2.4k 2.7× 302 1.0× 124 0.6× 55 0.3× 81 0.8× 81 2.8k
Djellel Difallah Switzerland 13 690 0.8× 432 1.4× 192 0.9× 47 0.3× 291 2.7× 33 1.6k
Óscar Araque Spain 11 752 0.9× 298 1.0× 282 1.4× 33 0.2× 49 0.5× 29 998

Countries citing papers authored by Kumar Ravi

Since Specialization
Citations

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

Fields of papers citing papers by Kumar Ravi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kumar Ravi

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

All Works

20 of 20 papers shown
1.
Ravi, Kumar, et al.. (2024). Classification and Comparative Evaluation of Text and Emoji‐Based Tweets With Deep Neural Network Models. Journal of Electrical and Computer Engineering. 2024(1). 1 indexed citations
2.
Ravi, Kumar, Srinivasa Rao Mutheneni, Madhusudhan Rao Kadiri, et al.. (2019). Applications of machine learning techniques to predict filariasis using socio-economic factors. Epidemiology and Infection. 147. e260–e260. 30 indexed citations
3.
Ravi, Kumar, et al.. (2019). MapReduce-based fuzzy very fast decision tree for constructing prediction intervals. 6(3/4). 234–234. 1 indexed citations
4.
Vyas, Vishal, V. Uma, & Kumar Ravi. (2019). Aspect-based approach to measure performance of financial services using voice of customer. Journal of King Saud University - Computer and Information Sciences. 34(5). 2262–2270. 16 indexed citations
5.
Ravi, Kumar, Srirangaraj Setlur, Vadlamani Ravi, & Venu Govindaraju. (2018). Article Citation Sentiment Analysis Using Deep Learning. 7 indexed citations
6.
Ravi, Kumar & Vadlamani Ravi. (2018). Irony Detection Using Neural Network Language Model, Psycholinguistic Features and Text Mining. 254–260. 5 indexed citations
7.
Ravi, Vadlamani, et al.. (2018). Sentiment analysis via Doc2Vec and Convolutional Neural Network hybrids. 1. 666–671. 1 indexed citations
8.
9.
Ravi, Kumar, et al.. (2017). Fuzzy formal concept analysis based opinion mining for CRM in financial services. Applied Soft Computing. 60. 786–807. 41 indexed citations
10.
11.
Ravi, Kumar & Vadlamani Ravi. (2016). A novel automatic satire and irony detection using ensembled feature selection and data mining. Knowledge-Based Systems. 120. 15–33. 46 indexed citations
12.
Ravi, Kumar & Vadlamani Ravi. (2016). Sentiment classification of Hinglish text. 641–645. 33 indexed citations
13.
Ravi, Kumar & Vadlamani Ravi. (2015). A survey on opinion mining and sentiment analysis: Tasks, approaches and applications. Knowledge-Based Systems. 89. 14–46. 883 indexed citations breakdown →
14.
Ravi, Kumar, et al.. (2015). Sentiment analysis applied to Educational Sector. 10. 1–6. 9 indexed citations
15.
Ravi, Kumar, et al.. (2007). Data Encryption Using Event-related Brain Signals. Kent Academic Repository (University of Kent). 24 indexed citations
16.
Ravi, Kumar & Ramaswamy Palaniappan. (2007). A Minimal Channel Set for Individual Identification with EEG Biometric Using Genetic Algorithm. 328–332. 13 indexed citations
17.
Ravi, Kumar, Ramaswamy Palaniappan, & Swee‐Huay Heng. (2006). Simplified fuzzy ARTMAP classification of individuals using optimal VEP channels. International Journal of Knowledge-based and Intelligent Engineering Systems. 10(6). 445–452. 1 indexed citations
18.
Ravi, Kumar & Ramaswamy Palaniappan. (2005). Recognising Individuals Using Their Brain Patterns. Kent Academic Repository (University of Kent). 2. 520–523. 20 indexed citations
19.
Palaniappan, Ramaswamy, et al.. (2005). Classification of Alcohol Abusers: An Intelligent Approach. Kent Academic Repository (University of Kent). 1. 470–474. 2 indexed citations
20.
Ravi, Kumar & Ramaswamy Palaniappan. (2005). Leave-one-out Authentication of Persons Using 40 Hz EEG Oscillations. Kent Academic Repository (University of Kent). 1386–1389. 30 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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