Suryoday Basak

475 citations
6 papers · 296 indexed · 1 hit paper · h-index 5
Topics
Speech and Audio Processing (1 paper)Advanced Multi-Objective Optimization Algorithms (1 paper)Metaheuristic Optimization Algorithms Research (1 paper)

In The Last Decade

Suryoday Basak

6 papers receiving 285 citations

Hit Papers

Predicting the direction of stock market prices using tre...2018202620202023201850100150200

Peers

Suryoday Basak
Comparison fields: 5 of 57
  • Management Science and Operations Research 212
  • Economics and Econometrics 96
  • Electrical and Electronic Engineering 96
  • Finance 85
  • Artificial Intelligence 38
Replace Luckyson Khaidem with:
Luckyson Khaidem United States
Yuping Song China
Yumo Xu United Kingdom
Shivam Agarwal India
Yilin Ma China
Arnav Wadhwa India
Eunsuk Chong South Korea
Ramchandra Rimal United States
Konstantinos Theofilatos Greece
Suryoday Basak relative to Luckyson Khaidem United States Luckyson Khaidem's profile →
Citations per field
00.5×1.5×
Luckyson Khaidem · 1×
Citations per year

Countries citing papers authored by Suryoday Basak

Since Specialization
Citations

This map shows the geographic impact of Suryoday Basak'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 Suryoday Basak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suryoday Basak more than expected).

Fields of papers citing papers by Suryoday Basak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Suryoday Basak. 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 Suryoday Basak. The network helps show where Suryoday Basak may publish in the future.

Co-authorship network of co-authors of Suryoday Basak

This figure shows the co-authorship network connecting the top 25 collaborators of Suryoday Basak. A scholar is included among the top collaborators of Suryoday Basak 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 Suryoday Basak. Suryoday Basak is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

6 of 6 papers shown
#WorkIndexed citations
1 12
2 27
3 2
4 4
5
Predicting the direction of stock market prices using tree-based classifiersbreakdown →
245
6 6

About Suryoday Basak

Suryoday Basak is a scholar working on Instrumentation, Numerical Analysis and Management Science and Operations Research, having authored 6 papers that have together received 296 indexed citations. Recurring topics across this work include Speech and Audio Processing (1 paper), Advanced Multi-Objective Optimization Algorithms (1 paper) and Metaheuristic Optimization Algorithms Research (1 paper). The work is most often cited by research in Management Science and Operations Research (212 citations), Finance (85 citations) and Economics and Econometrics (96 citations). Suryoday Basak has collaborated with scholars based in United States, India and Germany. Frequent co-authors include Snehanshu Saha, Luckyson Khaidem, Sudeepa Roy Dey, Saibal Kar, Mahanth Gowda, Manfred Huber, Ryan R. Curtin, James Balamuta, Dirk Eddelbuettel and Conrad Sanderson. Their work appears in journals such as Journal of Machine Learning Research, The North American Journal of Economics and Finance and The Journal of Open Source Software.

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.

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