Nitin Jindal
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 7
- Text and Document Classification Technologies 4
- Topic Modeling 3
- Algorithms and Data Compression 2
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- Spam and Phishing Detection 6
- Web Data Mining and Analysis 2
- Co-authors
- Bing Liu (7 shared papers)Bing Liu (1 shared paper)Ee‐Peng Lim (2 shared papers)Hady W. Lauw (1 shared paper)Viet-An Nguyen (1 shared paper)Natalie Glance (1 shared paper)Junhui Wang (1 shared paper)Arjun Mukherjee (1 shared paper)
- Journals
- Lecture notes in computer science (2 papers)Data Archiving and Networked Services (DANS) (1 paper)National Conference on Artificial Intelligence (1 paper)Institutional Knowledge (InK) - Institutional Knowledge at Singapore Management University (Singapore Management University) (2 papers)
- Partner nations
- United StatesSingaporeAustria
In The Last Decade
Nitin Jindal
13 papers receiving 3.1k citations
Nitin Jindal's Hit Papers
Peers
Comparison fields: 5 of 69
- Information Systems 2.4k
- Artificial Intelligence 2.5k
- Signal Processing 513
- Computer Networks and Communications 598
- Sociology and Political Science 891
Countries citing papers authored by Nitin Jindal
This map shows the geographic impact of Nitin Jindal'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 Nitin Jindal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nitin Jindal more than expected).
Fields of papers citing papers by Nitin Jindal
This network shows the impact of papers produced by Nitin Jindal. 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 Nitin Jindal. The network helps show where Nitin Jindal may publish in the future.
Co-authors
The 24 scholars most cited alongside Nitin Jindal, 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 | Opinion spam and analysis Hit paper breakdown → | 2008 | 1144 |
| 2 | Detecting product review spammers using rating behaviors Hit paper breakdown → | 2010 | 551 |
| 3 | Review spam detection Hit paper breakdown → | 2007 | 346 |
| 4 | 2006 | 339 | |
| 5 | 2010 | 270 | |
| 6 | Mining comparative sentences and relations | 2006 | 264 |
| 7 | 2011 | 186 | |
| 8 | 2007 | 180 | |
| 9 | 2007 | 39 | |
| 10 | 2010 | 15 | |
| 11 | 2009 | 7 | |
| 12 | 2020 | 5 | |
| 13 | 2005 | 3 |
About Nitin Jindal
Nitin Jindal is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Computer Vision and Pattern Recognition and Signal Processing, having authored 13 papers that have together received 3.3k indexed citations. Recurring topics across this work include Sentiment Analysis and Opinion Mining (7 papers), Spam and Phishing Detection (6 papers), Text and Document Classification Technologies (4 papers), Topic Modeling (3 papers), Web Data Mining and Analysis (2 papers), Algorithms and Data Compression (2 papers), Advanced Image and Video Retrieval Techniques (2 papers) and Network Security and Intrusion Detection (2 papers). The work is most often cited by research in Information Systems (2.4k citations), Artificial Intelligence (2.5k citations), Signal Processing (513 citations), Computer Networks and Communications (598 citations) and Sociology and Political Science (891 citations). Nitin Jindal has collaborated with scholars based in United States, Singapore and Austria. Frequent co-authors include Bing Liu, Bing Liu, Ee‐Peng Lim, Hady W. Lauw, Viet-An Nguyen, Natalie Glance, Junhui Wang, Arjun Mukherjee, Lucas Paletta and Gerhard Paar. Their work appears in journals such as Lecture notes in computer science, Data Archiving and Networked Services (DANS), National Conference on Artificial Intelligence and Institutional Knowledge (InK) - Institutional Knowledge at Singapore Management University (Singapore Management 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.