Manju Venugopalan
- Artificial Intelligence top 10%
- Information Systems top 10%
- Sociology and Political Science
- Management Science and Operations Research
- Signal Processing
- Co-authors
- Deepa GuptaSuja PalaniswamyM SaiHari PrasadP. Ravi Kanth ReddySusmitha VekkotPratyush PranavK.V. Nagaraja
- Topics
- Sentiment Analysis and Opinion Mining (8 papers)Advanced Text Analysis Techniques (8 papers)Spam and Phishing Detection (6 papers)
- Journals
- Expert Systems with ApplicationsKnowledge-Based SystemsJournal of Intelligent & Fuzzy Systems
- Partner nations
- IndiaUnited States
In The Last Decade
Manju Venugopalan
32 papers receiving 256 citations
Peers
Comparison fields: 5 of 56
- Artificial Intelligence 191
- Information Systems 49
- Sociology and Political Science 24
- Management Science and Operations Research 18
- Signal Processing 16
Countries citing papers authored by Manju Venugopalan
This map shows the geographic impact of Manju Venugopalan'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 Manju Venugopalan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manju Venugopalan more than expected).
Fields of papers citing papers by Manju Venugopalan
This network shows the impact of papers produced by Manju Venugopalan. 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 Manju Venugopalan. The network helps show where Manju Venugopalan may publish in the future.
Co-authorship network of co-authors of Manju Venugopalan
This figure shows the co-authorship network connecting the top 25 collaborators of Manju Venugopalan. A scholar is included among the top collaborators of Manju Venugopalan 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 Manju Venugopalan. Manju Venugopalan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 0 | |
| 9 | 0 | |
| 10 | 0 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 4 | |
| 14 | 0 | |
| 15 | 1 | |
| 16 | 1 | |
| 17 | 0 | |
| 18 | 1 | |
| 19 | 0 | |
| 20 | An Enhanced Polarity Lexicon by Learning-based Method Using Related Domain Knowledge | 3 |
About Manju Venugopalan
Manju Venugopalan is a scholar working on Artificial Intelligence, General Social Sciences and Signal Processing, having authored 47 papers that have together received 271 indexed citations. Recurring topics across this work include Sentiment Analysis and Opinion Mining (8 papers), Advanced Text Analysis Techniques (8 papers) and Spam and Phishing Detection (6 papers). The work is most often cited by research in Artificial Intelligence (191 citations), General Social Sciences (10 citations) and Information Systems (49 citations). Manju Venugopalan has collaborated with scholars based in India and United States. Frequent co-authors include Deepa Gupta, Deepa Gupta, Suja Palaniswamy, M Sai, Hari Prasad, P. Ravi Kanth Reddy, Susmitha Vekkot, Pratyush Pranav, K.V. Nagaraja and Himanshu Yadav. Their work appears in journals such as Expert Systems with Applications, Knowledge-Based Systems and Journal of Intelligent & Fuzzy Systems.
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.