D. Deepak

65 papers receiving 629 citations

D. Deepak's Hit Papers

Forecasting Stock Market Prices Using Machine Learning and Deep Learning Models: A Systematic Review, Performance Analysis and Discussion of Implications 2023 · 119 citations
1190+1+2Years since publication255075100

Peers

D. Deepak
Comparison fields: 5 of 70
  • Ecological Modeling 152
  • Management Science and Operations Research 107
  • Polymers and Plastics 104
  • Mechanical Engineering 278
  • Biomedical Engineering 183
Replace N. Arunkumar with:
N. Arunkumar India
Mehmet Alper Sofuoğlu Türkiye
Xuan-Phương Dang Vietnam
Mahesh B. Parappagoudar India
Motukuri Subrahmanya Sreenivasa Rao India
Surjit Angra India
Neera Batra India
Tuncay Erzurumlu Türkiye
Tatjana V. Sibalija Serbia
Vu Ngoc Pi Vietnam
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Citations per field
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Citations per year

Countries citing papers authored by D. Deepak

Since Specialization
Citations

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

Fields of papers citing papers by D. Deepak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside D. Deepak, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with D. Deepak Line = papers co-authored together D. Deepak links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Forecasting Stock Market Prices Using Machine Learning and Deep Learning Models: A Systematic Review, Performance Analysis and Discussion of Implications
Hit paper breakdown →
2023119
2 201568
3 202135
4 202229
5 201026
6 201225
7 201624
8 202222
9 202221
10 201619
11 201919
12 202316
13 201914
14 201413
15 201913
16 201513
17 202312
18 201912
19 201610
20 202210

About D. Deepak

D. Deepak is a scholar working on Ecological Modeling, Mechanical Engineering, Biomedical Engineering, Polymers and Plastics and Electrical and Electronic Engineering, having authored 71 papers that have together received 670 indexed citations. Recurring topics across this work include Advanced machining processes and optimization (23 papers), Advanced Surface Polishing Techniques (22 papers), Advanced Machining and Optimization Techniques (19 papers), Erosion and Abrasive Machining (17 papers), Natural Fiber Reinforced Composites (10 papers), Tunneling and Rock Mechanics (5 papers), Particle Dynamics in Fluid Flows (5 papers) and Multi-Criteria Decision Making (4 papers). The work is most often cited by research in Ecological Modeling (152 citations), Management Science and Operations Research (107 citations), Polymers and Plastics (104 citations), Mechanical Engineering (278 citations) and Biomedical Engineering (183 citations). D. Deepak has collaborated with scholars based in India, United Arab Emirates and Poland. Frequent co-authors include Subraya Krishna Bhat, Anupkumar M. Bongale, Neha Sharma, Bharathipura Venkataramana Rajendra, Raviraj Shetty, Deepak Sudhakar Dharrao, Basavannadevaru Shivamurthy, Maddasani Srinivasulu, Vinay K. Gupta and Ashok K. Dham. Their work appears in journals such as Manufacturing Review, International Journal on Interactive Design and Manufacturing (IJIDeM), International Journal of Machining and Machinability of Materials, Materials and International Journal of Abrasive Technology.

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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