Neha Patankar

686 total citations
21 papers, 186 citations indexed

About

Neha Patankar is a scholar working on Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment and Artificial Intelligence. According to data from OpenAlex, Neha Patankar has authored 21 papers receiving a total of 186 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Electrical and Electronic Engineering, 5 papers in Renewable Energy, Sustainability and the Environment and 4 papers in Artificial Intelligence. Recurrent topics in Neha Patankar's work include Integrated Energy Systems Optimization (11 papers), Metaheuristic Optimization Algorithms Research (4 papers) and Evolutionary Algorithms and Applications (4 papers). Neha Patankar is often cited by papers focused on Integrated Energy Systems Optimization (11 papers), Metaheuristic Optimization Algorithms Research (4 papers) and Evolutionary Algorithms and Applications (4 papers). Neha Patankar collaborates with scholars based in United States, Singapore and Canada. Neha Patankar's co-authors include Jesse Jenkins, Joseph F. DeCarolis, Anand J. Kulkarni, Alessandro Chiodi, Xiufeng Yue, Fionn Rogan, Brian Ó Gallachóir, Paul Deane, Anderson Rodrigo de Queiroz and Qingyu Xu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Energy and Energy.

In The Last Decade

Neha Patankar

19 papers receiving 174 citations

Peers

Neha Patankar
Comparison fields: 5 of 47
  • Electrical and Electronic Engineering 94
  • Renewable Energy, Sustainability and the Environment 51
  • Energy Engineering and Power Technology 33
  • Economics and Econometrics 28
  • Mechanical Engineering 22
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Citations per field, relative to Neha Patankar
Neha Patankar · 1×
Citations per year, relative to Neha Patankar
Neha Patankar · 1×

Countries citing papers authored by Neha Patankar

Since Specialization
Citations

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

Fields of papers citing papers by Neha Patankar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neha Patankar

This figure shows the co-authorship network connecting the top 25 collaborators of Neha Patankar. A scholar is included among the top collaborators of Neha Patankar 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 Neha Patankar. Neha Patankar 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 3
4 2
5 1
6 17
7 17
8 15
9 8
10 13
11 9
12 17
13 1
14 52
15
Addressing Uncertainty in Energy System Optimization Models Over a Long Planning Horizon.
1
16 5
17 13
18 2
19 3
20 6

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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