Subhash K. Shinde

696 total citations
31 papers, 436 citations indexed

About

Subhash K. Shinde is a scholar working on Information Systems, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Subhash K. Shinde has authored 31 papers receiving a total of 436 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Information Systems, 11 papers in Computer Networks and Communications and 10 papers in Artificial Intelligence. Recurrent topics in Subhash K. Shinde's work include Cloud Computing and Resource Management (5 papers), Spam and Phishing Detection (4 papers) and Sentiment Analysis and Opinion Mining (4 papers). Subhash K. Shinde is often cited by papers focused on Cloud Computing and Resource Management (5 papers), Spam and Phishing Detection (4 papers) and Sentiment Analysis and Opinion Mining (4 papers). Subhash K. Shinde collaborates with scholars based in India and Mexico. Subhash K. Shinde's co-authors include Uday Kulkarni, U. V. Kulkarni, Monika Mangla, Nonita Sharma, Sachi Nandan Mohanty, K. S. Varaprasad, Jogendra Singh, P. Kadirvel, Praveen Kumar Yadav and N. Mukta and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Wireless Personal Communications.

In The Last Decade

Subhash K. Shinde

25 papers receiving 404 citations

Peers

Subhash K. Shinde
Comparison fields: 5 of 60
  • Information Systems 304
  • Computer Networks and Communications 226
  • Artificial Intelligence 127
  • Computer Vision and Pattern Recognition 46
  • Sociology and Political Science 29
Replace Jiayin Wang with:
Jiayin Wang United States
Fenfang Xie China
Guosheng Kang China
Tom Chao Zhou Hong Kong
Junho Shim South Korea
Ali Harounabadi Iran
Mingli Wu China
Wei‐Guang Teng Taiwan
Victor J. Sosa‐Sosa Mexico
Jiayin Wang United States View profile →
Citations per field, relative to Subhash K. Shinde
Subhash K. Shinde · 1×
Citations per year, relative to Subhash K. Shinde
Subhash K. Shinde · 1×

Countries citing papers authored by Subhash K. Shinde

Since Specialization
Citations

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

Fields of papers citing papers by Subhash K. Shinde

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Subhash K. Shinde. 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 Subhash K. Shinde. The network helps show where Subhash K. Shinde may publish in the future.

Co-authorship network of co-authors of Subhash K. Shinde

This figure shows the co-authorship network connecting the top 25 collaborators of Subhash K. Shinde. A scholar is included among the top collaborators of Subhash K. Shinde 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 Subhash K. Shinde. Subhash K. Shinde 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
# Work Indexed citations
1 0
2 1
3 0
4 4
5 0
6 1
7 3
8 0
9 9
10 5
11 21
12 164
13 10
14 0
15 22
16 5
17 9
18
Detection of Phishing Websites Using Data Mining Techniques
8
19 23
20 4

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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