Priyank Thakkar
- Management Science and Operations Research top 0.5%
- Economics and Econometrics top 2%
- Electrical and Electronic Engineering top 10%
- Finance top 2%
- Artificial Intelligence top 10%
- Co-authors
- Ketan KotechaSahil ShahJigar PatelDipak M. AdhyaruTanish ZaveriAjith AbrahamSwati JainSang Won Yoon
- Topics
- Stock Market Forecasting Methods (7 papers)Handwritten Text Recognition Techniques (7 papers)Vehicle License Plate Recognition (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsIEEE Access
- Partner nations
- IndiaUnited StatesMalaysia
In The Last Decade
Priyank Thakkar
24 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 87
- Management Science and Operations Research 939
- Economics and Econometrics 399
- Electrical and Electronic Engineering 383
- Finance 310
- Artificial Intelligence 189
Countries citing papers authored by Priyank Thakkar
This map shows the geographic impact of Priyank Thakkar'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 Priyank Thakkar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Priyank Thakkar more than expected).
Fields of papers citing papers by Priyank Thakkar
This network shows the impact of papers produced by Priyank Thakkar. 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 Priyank Thakkar. The network helps show where Priyank Thakkar may publish in the future.
Co-authorship network of co-authors of Priyank Thakkar
This figure shows the co-authorship network connecting the top 25 collaborators of Priyank Thakkar. A scholar is included among the top collaborators of Priyank Thakkar based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Priyank Thakkar. Priyank Thakkar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 8 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 6 | |
| 8 | 13 | |
| 9 | 2 | |
| 10 | 4 | |
| 11 | Adaptive multi-column multi-stage machine learning pipeline for predicting stock price by solving a nonlinear optimization program | 1 |
| 12 | A Hybrid Video Based IoT Framework for Military Surveillance | 1 |
| 13 | 2 | |
| 14 | 4 | |
| 15 | Features fusion based approach for handwritten Gujarati character recognition | 3 |
| 16 | Predicting stock and stock price index movement using Trend Deterministic Data Preparation and machine learning techniquesbreakdown → | 691 |
| 17 | 14 | |
| 18 | 2 | |
| 19 | Predicting stock market index using fusion of machine learning techniquesbreakdown → | 380 |
| 20 | 1 |
About Priyank Thakkar
Priyank Thakkar is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Management Science and Operations Research, having authored 29 papers that have together received 1.2k indexed citations. Recurring topics across this work include Stock Market Forecasting Methods (7 papers), Handwritten Text Recognition Techniques (7 papers) and Vehicle License Plate Recognition (5 papers). The work is most often cited by research in Management Science and Operations Research (939 citations), Finance (310 citations) and Economics and Econometrics (399 citations). Priyank Thakkar has collaborated with scholars based in India, United States and Malaysia. Frequent co-authors include Ketan Kotecha, Sahil Shah, Jigar Patel, Jigar Patel, Dipak M. Adhyaru, Tanish Zaveri, Ajith Abraham, Swati Jain, Sang Won Yoon and Om Prakash. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.
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.