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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- Stock Market Forecasting Methods 10
- Forecasting Techniques and Applications 4
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- Advanced Steganography and Watermarking Techniques 4
- Chaos-based Image/Signal Encryption 4
- Co-authors
- M. M. Sufyan Beg (4 shared papers)Abdul Quaiyum Ansari (4 shared papers)Rachna Jain (3 shared papers)Vijay Kumar (1 shared paper)Suraj Menon (1 shared paper)Carl K. Buckner (1 shared paper)Kálmán Kovács (1 shared paper)K Kovács (1 shared paper)
- Journals
- Hormone and Metabolic Research (2 papers)Multimedia Tools and Applications (1 paper)Data in Brief (1 paper)Neural Computing and Applications (1 paper)Applied Soft Computing (1 paper)
- Partner nations
- IndiaCanadaUnited States
In The Last Decade
Bindu Garg
30 papers receiving 193 citations
Peers
Comparison fields: 5 of 72
- Management Science and Operations Research 74
- Signal Processing 51
- Artificial Intelligence 49
- Computer Vision and Pattern Recognition 23
- Economics and Econometrics 26
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 19 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 34 | |
| 2 | 2017 | 31 | |
| 3 | 2012 | 14 | |
| 4 | Stock market forecast using sentiment analysis | 2015 | 13 |
| 5 | 2013 | 12 | |
| 6 | 2014 | 12 | |
| 7 | 2009 | 9 | |
| 8 | 2017 | 7 | |
| 9 | 1973 | 7 | |
| 10 | 2011 | 6 | |
| 11 | 2016 | 6 | |
| 12 | 2017 | 5 | |
| 13 | 2011 | 5 | |
| 14 | 2024 | 5 | |
| 15 | 2023 | 4 | |
| 16 | 2024 | 4 | |
| 17 | Steric aspects of adrenergic drugs. XVII. Influence of tropolone on the magnitude and duration of action of catecholamine isomers. | 1971 | 4 |
| 18 | 2013 | 3 | |
| 19 | 2016 | 3 | |
| 20 | 2022 | 3 |
About Bindu Garg
Bindu Garg is a scholar working on Management Science and Operations Research, Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing and Information Systems, having authored 35 papers that have together received 203 indexed citations. Recurring topics across this work include Stock Market Forecasting Methods (10 papers), Advanced Steganography and Watermarking Techniques (4 papers), Neural Networks and Applications (4 papers), Time Series Analysis and Forecasting (4 papers), Forecasting Techniques and Applications (4 papers), Chaos-based Image/Signal Encryption (4 papers), Complex Systems and Time Series Analysis (4 papers) and Cryptography and Data Security (2 papers). The work is most often cited by research in Management Science and Operations Research (74 citations), Signal Processing (51 citations), Artificial Intelligence (49 citations), Computer Vision and Pattern Recognition (23 citations) and Economics and Econometrics (26 citations). Bindu Garg has collaborated with scholars based in India, Canada and United States. Frequent co-authors include M. M. Sufyan Beg, Abdul Quaiyum Ansari, Rachna Jain, Vijay Kumar, Suraj Menon, Carl K. Buckner, Kálmán Kovács, K Kovács, Béatriz Tuchweber and G. Lázár. Their work appears in journals such as Hormone and Metabolic Research, Multimedia Tools and Applications, Data in Brief, Neural Computing and Applications and Applied Soft Computing.
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.