Rajiv Bajpai

2.0k citations
5 papers · 1.2k indexed · 1 hit paper · h-index 5
Topics
Sentiment Analysis and Opinion Mining (4 papers)Topic Modeling (3 papers)Advanced Text Analysis Techniques (2 papers)
Journals
Information FusionOPUS (Augsburg University)

In The Last Decade

Rajiv Bajpai

5 papers receiving 1.1k citations

Hit Papers

A review of affective computing: From unimodal analysis t...20172026202020232017250500750

Peers

Rajiv Bajpai
Comparison fields: 5 of 108
  • Artificial Intelligence 642
  • Experimental and Cognitive Psychology 495
  • Computer Vision and Pattern Recognition 207
  • Cognitive Neuroscience 202
  • Social Psychology 172
Replace Vera Demberg with:
Vera Demberg Germany
Gelareh Mohammadi Australia
Joakim Gustafson Sweden
Kenji Sagae United States
Wolfgang Minker Germany
Hayley Hung Netherlands
Dinesh Babu Jayagopi India
Héctor P. Martínez Malta
Rohit Prasad United States
Brendan Jou United States
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Citations per field
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Citations per year

Countries citing papers authored by Rajiv Bajpai

Since Specialization
Citations

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

Fields of papers citing papers by Rajiv Bajpai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rajiv Bajpai

This figure shows the co-authorship network connecting the top 25 collaborators of Rajiv Bajpai. A scholar is included among the top collaborators of Rajiv Bajpai 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 Rajiv Bajpai. Rajiv Bajpai 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
#WorkIndexed citations
1
A review of affective computing: From unimodal analysis to multimodal fusionbreakdown →
941
2
SenticNet 4: A Semantic Resource for Sentiment Analysis Based on Conceptual Primitives
173
3 15
4 20
5 11

About Rajiv Bajpai

Rajiv Bajpai is a scholar working on Artificial Intelligence, Experimental and Cognitive Psychology and Social Psychology, having authored 5 papers that have together received 1.2k indexed citations. Recurring topics across this work include Sentiment Analysis and Opinion Mining (4 papers), Topic Modeling (3 papers) and Advanced Text Analysis Techniques (2 papers). The work is most often cited by research in Experimental and Cognitive Psychology (495 citations), Artificial Intelligence (642 citations) and Signal Processing (135 citations). Rajiv Bajpai has collaborated with scholars based in Singapore, United Kingdom and India. Frequent co-authors include Erik Cambria, Soujanya Poria, Amir Hussain, Björn W. Schuller, Iti Chaturvedi, Sivaji Bandyopadhyay and Dipankar Das. Their work appears in journals such as Information Fusion and OPUS (Augsburg University).

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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