Pradeep Neelakanda

1.5k citations
17 papers · 1.3k indexed · h-index 16
Topics
Membrane Separation and Gas Transport (6 papers)Membrane Separation Technologies (5 papers)Block Copolymer Self-Assembly (5 papers)
Partner nations
Saudi ArabiaGermany

In The Last Decade

Pradeep Neelakanda

17 papers receiving 1.3k citations

Peers

Pradeep Neelakanda
Comparison fields: 5 of 62
  • Water Science and Technology 628
  • Biomedical Engineering 588
  • Materials Chemistry 573
  • Mechanical Engineering 513
  • Organic Chemistry 242
Replace Tiefan Huang with:
Tiefan Huang China
Victor Kusuma United States
Madhavan Karunakaran Saudi Arabia
Jing-She Song Canada
Muhammad Irshad Baig Netherlands
Sofia Rangou Germany
Hyo Kang South Korea
Zhaogen Wang China
Jiemei Zhou China
Teruhiko Kai Japan
Pradeep Neelakanda relative to Tiefan Huang China Tiefan Huang's profile →
Citations per field
00.5×5.6×
Tiefan Huang · 1×
Citations per year

Countries citing papers authored by Pradeep Neelakanda

Since Specialization
Citations

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

Fields of papers citing papers by Pradeep Neelakanda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pradeep Neelakanda

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

All Works

17 of 17 papers shown
#WorkIndexed citations
1 3
2 37
3 24
4 80
5 66
6 35
7 54
8 66
9 42
10 35
11 99
12 57
13 65
14 22
15 252
16 256
17 99

About Pradeep Neelakanda

Pradeep Neelakanda is a scholar working on Water Science and Technology, Inorganic Chemistry and Surfaces, Coatings and Films, having authored 17 papers that have together received 1.3k indexed citations. Recurring topics across this work include Membrane Separation and Gas Transport (6 papers), Membrane Separation Technologies (5 papers) and Block Copolymer Self-Assembly (5 papers). The work is most often cited by research in Water Science and Technology (628 citations), Surfaces, Coatings and Films (186 citations) and Mechanical Engineering (513 citations). Pradeep Neelakanda has collaborated with scholars based in Saudi Arabia and Germany. Frequent co-authors include Klaus‐Viktor Peinemann, Suzana P. Nunes, Liliana Pérez‐Manríquez, Madhavan Karunakaran, Ali R. Behzad, Rachid Sougrat, Haizhou Yu, Xiaoyan Qiu, Ulla Vainio and Jamaliah Aburabie. Their work appears in journals such as ACS Nano, Langmuir and Chemical Communications.

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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