Manish Gupta
- Artificial Intelligence top 0.5%
- Topic Modeling 37
- Natural Language Processing Techniques 21
- Anomaly Detection Techniques and Applications 13
- Advanced Text Analysis Techniques 12
- Hate Speech and Cyberbullying Detection 9
- Signal Processing top 1%
- Information Systems top 0.5%
- Recommender Systems and Techniques 9
- Web Data Mining and Analysis 9
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- Complex Network Analysis Techniques 10
- Co-authors
- Jiawei HanJing GaoCharų C. AggarwalVasudeva VarmaDhruv KhattarZhijun YinPeixiang ZhaoTim Weninger
- Journals
- SHILAP Revista de lepidopterología (3 papers)Scientific Reports (1 paper)The American Journal of Cardiology (2 papers)
- Partner nations
- IndiaUnited StatesUnited Kingdom
In The Last Decade
Manish Gupta
130 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 146
- Artificial Intelligence 1.8k
- Signal Processing 522
- Information Systems 883
- Statistical and Nonlinear Physics 355
- Computer Networks and Communications 440
Countries citing papers authored by Manish Gupta
This map shows the geographic impact of Manish Gupta'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 Manish Gupta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manish Gupta more than expected).
Fields of papers citing papers by Manish Gupta
This network shows the impact of papers produced by Manish Gupta. 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 Manish Gupta. The network helps show where Manish Gupta may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Manish Gupta, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 1 | |
| 6 | 2022 | 0 | |
| 7 | 2021 | 2 | |
| 8 | Estimating Visual Sensitivity from Single-Intensity Stimuli in Visual Field Tests for Patients with Glaucoma: Theory | 2020 | 1 |
| 9 | Ingredients for Happiness: Modeling constructs via semi-supervised content driven inductive transfer. | 2019 | 1 |
| 10 | A Workbench for Rapid Generation of Cross-Lingual Summaries | 2018 | 1 |
| 11 | SSAS: Semantic Similarity for Abstractive Summarization | 2017 | 2 |
| 12 | Deep Neural Architecture for News Recommendation. | 2017 | 18 |
| 13 | Enhancing Categorization of Computer Science Research Papers using Knowledge Bases. | 2017 | 2 |
| 14 | Digital watermarking using spatial domain and triple DES | 2016 | 1 |
| 15 | Exploiting Wikipedia Categorization for Predicting Age and Gender of Blog Authors. | 2014 | 4 |
| 16 | Linking Entities in #Microposts | 2014 | 1 |
| 17 | Tutorial: Outlier Detection for Temporal Data | 2013 | 2 |
| 18 | 2012 | 166 | |
| 19 | Apollo: Towards factfinding in participatory sensing | 2011 | 12 |
| 20 | Shallow Information Extraction from Medical Forum Data | 2010 | 19 |
About Manish Gupta
Manish Gupta is a scholar working on Artificial Intelligence, Information Systems and Computational Mathematics, having authored 151 papers that have together received 3.0k indexed citations. Recurring topics across this work include Topic Modeling (37 papers), Natural Language Processing Techniques (21 papers), Anomaly Detection Techniques and Applications (13 papers), Advanced Text Analysis Techniques (12 papers), Complex Network Analysis Techniques (10 papers), Hate Speech and Cyberbullying Detection (9 papers), Recommender Systems and Techniques (9 papers) and Web Data Mining and Analysis (9 papers). The work is most often cited by research in Artificial Intelligence (1.8k citations), Signal Processing (522 citations) and Information Systems (883 citations). Manish Gupta has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Jiawei Han, Jing Gao, Charų C. Aggarwal, Vasudeva Varma, Dhruv Khattar, Zhijun Yin, Peixiang Zhao, Tim Weninger, Rui Li and Michael Bendersky. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and The American Journal of Cardiology.
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.