Bindu Garg
Impact in
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- Stock Market Forecasting Methods
- Forecasting Techniques and Applications
- Signal Processing top 10%
- Time Series Analysis and Forecasting
Papers in
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- Advanced Steganography and Watermarking Techniques 8
- Chaos-based Image/Signal Encryption 8
- Digital Media Forensic Detection 5
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- Neural Networks and Applications 8
- Fuzzy Logic and Control Systems 5
- Co-authors
- Abdul Quaiyum Ansari (6 shared papers)M. M. Sufyan Beg (6 shared papers)Vijay Kumar (1 shared paper)Rachna Jain (6 shared papers)Suraj Menon (1 shared paper)K Kovács (1 shared paper)G. Lázár (1 shared paper)Carl K. Buckner (1 shared paper)
- Journals
- Hormone and Metabolic Research (2 papers)Computers & Electrical Engineering (1 paper)Multimedia Tools and Applications (1 paper)Data in Brief (1 paper)Neural Computing and Applications (1 paper)
- Partner nations
- IndiaCanadaSaudi Arabia
In The Last Decade
Bindu Garg
51 papers receiving 286 citations
Peers
Comparison fields: 5 of 83
- Management Science and Operations Research 100
- Signal Processing 61
- Computer Vision and Pattern Recognition 51
- Artificial Intelligence 72
- Analytical Chemistry 18
Countries citing papers authored by Bindu Garg
This map shows the geographic impact of Bindu Garg'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 Bindu Garg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bindu Garg more than expected).
Fields of papers citing papers by Bindu Garg
This network shows the impact of papers produced by Bindu Garg. 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 Bindu Garg. The network helps show where Bindu Garg may publish in the future.
Co-authors
The 23 scholars most cited alongside Bindu Garg, 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 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 40 | |
| 2 | 2016 | 38 | |
| 3 | Stock market forecast using sentiment analysis | 2015 | 16 |
| 4 | 2012 | 15 | |
| 5 | 2014 | 14 | |
| 6 | 2017 | 13 | |
| 7 | 2013 | 13 | |
| 8 | 2011 | 11 | |
| 9 | 2009 | 11 | |
| 10 | 2022 | 10 | |
| 11 | 2011 | 10 | |
| 12 | 2016 | 8 | |
| 13 | 2011 | 7 | |
| 14 | 1973 | 7 | |
| 15 | 2011 | 6 | |
| 16 | 2017 | 5 | |
| 17 | 2024 | 5 | |
| 18 | 2021 | 5 | |
| 19 | Steric aspects of adrenergic drugs. XVII. Influence of tropolone on the magnitude and duration of action of catecholamine isomers. | 1971 | 5 |
| 20 | 2023 | 4 |
About Bindu Garg
Bindu Garg is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Management Science and Operations Research, Signal Processing and Information Systems, having authored 56 papers that have together received 305 indexed citations. Recurring topics across this work include Stock Market Forecasting Methods (16 papers), Advanced Steganography and Watermarking Techniques (8 papers), Neural Networks and Applications (8 papers), Chaos-based Image/Signal Encryption (8 papers), Forecasting Techniques and Applications (6 papers), Fuzzy Logic and Control Systems (5 papers), Digital Media Forensic Detection (5 papers) and Smart Agriculture and AI (5 papers). The work is most often cited by research in Management Science and Operations Research (100 citations), Signal Processing (61 citations), Computer Vision and Pattern Recognition (51 citations), Artificial Intelligence (72 citations) and Analytical Chemistry (18 citations). Bindu Garg has collaborated with scholars based in India, Canada and Saudi Arabia. Frequent co-authors include Abdul Quaiyum Ansari, M. M. Sufyan Beg, Vijay Kumar, Rachna Jain, Suraj Menon, K Kovács, G. Lázár, Carl K. Buckner, Sándor Szabó and Béatriz Tuchweber. Their work appears in journals such as Hormone and Metabolic Research, Computers & Electrical Engineering, Multimedia Tools and Applications, Data in Brief and Neural Computing and Applications.
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.