Anupkumar M. Bongale

816 citations
47 papers · 437 indexed · 1 hit paper · h-index 11
Topics
Energy Efficient Wireless Sensor Networks (6 papers)Energy Harvesting in Wireless Networks (5 papers)IoT and Edge/Fog Computing (5 papers)
Journals
SHILAP Revista de lepidopterologíaIEEE AccessMaterials

In The Last Decade

Anupkumar M. Bongale

37 papers receiving 414 citations

Hit Papers

Forecasting Stock Market Prices Using Machine Learning an...20232026202420252023255075

Peers

Anupkumar M. Bongale
Comparison fields: 5 of 92
  • Computer Networks and Communications 136
  • Electrical and Electronic Engineering 120
  • Information Systems 104
  • Artificial Intelligence 84
  • Management Science and Operations Research 67
Replace Suriani Mohd Sam with:
Suriani Mohd Sam Malaysia
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Citations per field
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Citations per year

Countries citing papers authored by Anupkumar M. Bongale

Since Specialization
Citations

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

Fields of papers citing papers by Anupkumar M. Bongale

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anupkumar M. Bongale. 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 Anupkumar M. Bongale. The network helps show where Anupkumar M. Bongale may publish in the future.

Co-authorship network of co-authors of Anupkumar M. Bongale

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 2
4 0
5 1
6 1
7 0
8 1
9 0
10 14
11 1
12 0
13 1
14
Forecasting Stock Market Prices Using Machine Learning and Deep Learning Models: A Systematic Review, Performance Analysis and Discussion of Implicationsbreakdown →
82
15 33
16 14
17 4
18
Bibliometric Analysis of Research Trends in Rice Straw/Husk Reinforced Polymer Composites
4
19 32
20 3

About Anupkumar M. Bongale

Anupkumar M. Bongale is a scholar working on Computer Networks and Communications, Industrial and Manufacturing Engineering and Computer Vision and Pattern Recognition, having authored 47 papers that have together received 437 indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (6 papers), Energy Harvesting in Wireless Networks (5 papers) and IoT and Edge/Fog Computing (5 papers). The work is most often cited by research in Computer Networks and Communications (136 citations), Management Science and Operations Research (67 citations) and Information Systems (104 citations). Anupkumar M. Bongale has collaborated with scholars based in India, United Arab Emirates and Australia. Frequent co-authors include Arunkumar Bongale, Deepak Dharrao, Shraddha Phansalkar, Deepak Doreswamy, Vidyasagar Potdar, Subraya Krishna Bhat, Rahul Joshi, Abhishek Sharma, Shailendra Rajput and Siddhaling Urolagin. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Materials.

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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