Arjun Mukherjee
Impact in
- Information Systems top 0.2%
- Spam and Phishing Detection
- Artificial Intelligence top 0.5%
- Sentiment Analysis and Opinion Mining
- Advanced Text Analysis Techniques
- Topic Modeling
- Text and Document Classification Technologies
Papers in
-
- Sentiment Analysis and Opinion Mining 29
- Topic Modeling 28
- Advanced Text Analysis Techniques 17
- Hate Speech and Cyberbullying Detection 7
-
- Spam and Phishing Detection 22
- Co-authors
- Bing Liu (21 shared papers)Natalie Glance (3 shared papers)Meichun Hsu (5 shared papers)Malú Castellanos (5 shared papers)Riddhiman Ghosh (5 shared papers)Junhui Wang (2 shared papers)Zhiyuan Chen (3 shared papers)Vivek Vasi Venkataraman (2 shared papers)
- Journals
- Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (1 paper)Natural Language Engineering (1 paper)Lecture notes in computer science (9 papers)Clinical Endocrinology (1 paper)Language Resources and Evaluation (1 paper)
- Partner nations
- United StatesIndiaUnited Kingdom
In The Last Decade
Arjun Mukherjee
70 papers receiving 3.1k citations
Arjun Mukherjee's Hit Papers
Peers
Comparison fields: 5 of 105
- Information Systems 1.8k
- Artificial Intelligence 2.4k
- Signal Processing 457
- Sociology and Political Science 816
- Statistical and Nonlinear Physics 224
Countries citing papers authored by Arjun Mukherjee
This map shows the geographic impact of Arjun Mukherjee'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 Arjun Mukherjee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arjun Mukherjee more than expected).
Fields of papers citing papers by Arjun Mukherjee
This network shows the impact of papers produced by Arjun Mukherjee. 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 Arjun Mukherjee. The network helps show where Arjun Mukherjee may publish in the future.
Co-authors
The 25 scholars most cited alongside Arjun Mukherjee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Spotting fake reviewer groups in consumer reviews Hit paper breakdown → | 2012 | 571 |
| 2 | Spotting opinion spammers using behavioral footprints Hit paper breakdown → | 2013 | 320 |
| 3 | Aspect Extraction through Semi-Supervised Modeling | 2012 | 270 |
| 4 | 2011 | 183 | |
| 5 | What Yelp Fake Review Filter Might Be Doing? Hit paper breakdown → | 2021 | 181 |
| 6 | 2013 | 164 | |
| 7 | 2014 | 163 | |
| 8 | Improving Gender Classification of Blog Authors | 2010 | 160 |
| 9 | 2017 | 114 | |
| 10 | 2013 | 94 | |
| 11 | Leveraging multi-domain prior knowledge in topic models | 2013 | 75 |
| 12 | 2021 | 71 | |
| 13 | 2013 | 67 | |
| 14 | 2014 | 66 | |
| 15 | 2014 | 65 | |
| 16 | 2012 | 51 | |
| 17 | 2014 | 49 | |
| 18 | 2016 | 48 | |
| 19 | 2013 | 48 | |
| 20 | Modeling Review Comments | 2012 | 46 |
About Arjun Mukherjee
Arjun Mukherjee is a scholar working on Artificial Intelligence, Information Systems, Signal Processing, Statistical and Nonlinear Physics and Sociology and Political Science, having authored 74 papers that have together received 3.3k indexed citations. Recurring topics across this work include Sentiment Analysis and Opinion Mining (29 papers), Topic Modeling (28 papers), Spam and Phishing Detection (22 papers), Advanced Text Analysis Techniques (17 papers), Misinformation and Its Impacts (11 papers), Advanced Malware Detection Techniques (9 papers), Complex Network Analysis Techniques (9 papers) and Hate Speech and Cyberbullying Detection (7 papers). The work is most often cited by research in Information Systems (1.8k citations), Artificial Intelligence (2.4k citations), Signal Processing (457 citations), Sociology and Political Science (816 citations) and Statistical and Nonlinear Physics (224 citations). Arjun Mukherjee has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Bing Liu, Natalie Glance, Meichun Hsu, Malú Castellanos, Riddhiman Ghosh, Junhui Wang, Zhiyuan Chen, Vivek Vasi Venkataraman, Dr. Abhinav Kumar and Jianfeng Si. Their work appears in journals such as Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery, Natural Language Engineering, Lecture notes in computer science, Clinical Endocrinology and Language Resources and Evaluation.
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.