Sanjeev S. Tambe

2.3k citations
85 papers · 1.8k indexed · h-index 25
Topics
Advanced Control Systems Optimization (11 papers)Mineral Processing and Grinding (9 papers)Nonlinear Dynamics and Pattern Formation (8 papers)
Journals
SHILAP Revista de lepidopterologíaEnvironmental Science & TechnologyBioinformatics

In The Last Decade

Sanjeev S. Tambe

84 papers receiving 1.8k citations

Peers

Sanjeev S. Tambe
Comparison fields: 5 of 145
  • Biomedical Engineering 495
  • Mechanical Engineering 436
  • Control and Systems Engineering 355
  • Molecular Biology 217
  • Materials Chemistry 203
Replace Bhaskar D. Kulkarni with:
Bhaskar D. Kulkarni India
Jens‐Uwe Repke Germany
Surendra Kumar India
Rahmat Sotudeh‐Gharebagh Iran
Khaled A. M. Gasem United States
Chunguang Liu China
Xingang Li China
D.W.T. Rippin Switzerland
Aijun Li China
Liang Fan United States
Sanjeev S. Tambe relative to Bhaskar D. Kulkarni India Bhaskar D. Kulkarni's profile →
Citations per field
00.5×1.5×
Bhaskar D. Kulkarni · 1×
Citations per year

Countries citing papers authored by Sanjeev S. Tambe

Since Specialization
Citations

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

Fields of papers citing papers by Sanjeev S. Tambe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sanjeev S. Tambe. 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 Sanjeev S. Tambe. The network helps show where Sanjeev S. Tambe may publish in the future.

Co-authorship network of co-authors of Sanjeev S. Tambe

This figure shows the co-authorship network connecting the top 25 collaborators of Sanjeev S. Tambe. A scholar is included among the top collaborators of Sanjeev S. Tambe 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 Sanjeev S. Tambe. Sanjeev S. Tambe 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 17
2 3
3 22
4 9
5 3
6 1
7 15
8 6
9 30
10 32
11 26
12
Consider genetic algorithms to optimize batch distillation
5
13 9
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16 19
17 3
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19 25
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About Sanjeev S. Tambe

Sanjeev S. Tambe is a scholar working on Fuel Technology, Analytical Chemistry and Statistical and Nonlinear Physics, having authored 85 papers that have together received 1.8k indexed citations. Recurring topics across this work include Advanced Control Systems Optimization (11 papers), Mineral Processing and Grinding (9 papers) and Nonlinear Dynamics and Pattern Formation (8 papers). The work is most often cited by research in Fuel Technology (22 citations), Control and Systems Engineering (355 citations) and Analytical Chemistry (139 citations). Sanjeev S. Tambe has collaborated with scholars based in India, United States and Türkiye. Frequent co-authors include Bhaskar D. Kulkarni, B. D. Kulkarni, Yogesh Badhe, Somnath Nandi, Kiran M. Desai, Bijay Kumar Sharma, Savita Kulkarni, Sujan Saha, Pradeep B. Deshpande and K. Lal Gauri. Their work appears in journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and Bioinformatics.

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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