N. Leema

434 citations
8 papers · 345 · h-index 5

Impact in

Papers in

    • Aluminum Alloys Composites Properties 5
    • Advanced materials and composites 5
    • Powder Metallurgy Techniques and Materials 3
    • AI in cancer detection 2
    • Neural Networks and Applications 2
    • Metaheuristic Optimization Algorithms Research 1
Journals
Applied Soft Computing (1 paper)Bulletin of the Chemical Society of Ethiopia (1 paper)International Journal of Operations Research and Information Systems (2 papers)Materials & Design (1980-2015) (4 papers)
Partner nations
India

In The Last Decade

N. Leema

8 papers receiving 318 citations

Peers

N. Leema
Comparison fields: 5 of 62
  • Ceramics and Composites 53
  • Mechanical Engineering 213
  • Health Information Management 23
  • Mechanics of Materials 61
  • Artificial Intelligence 57
Replace K. Lingadurai with:
K. Lingadurai India
Ghazi Alsoruji Saudi Arabia
Bin Xing China
Gurbhej Singh India
Nathi Ram Chauhan India
Surendra Kumar India
Bhavesh Chaudhary India
Jae-Seol Lee South Korea
N. Leema relative to K. Lingadurai India K. Lingadurai's profile →
Citations per field
00.5×5.3×
K. Lingadurai · 1×
Citations per year

Countries citing papers authored by N. Leema

Since Specialization
Citations

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

Fields of papers citing papers by N. Leema

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 7 scholars most cited alongside N. Leema, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with N. Leema Line = papers co-authored together N. Leema links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 2016109
2 201392
3 201258
4 201353
5 201426
6 20204
7 20232
8 20181

About N. Leema

N. Leema is a scholar working on Mechanical Engineering, Artificial Intelligence, Computer Vision and Pattern Recognition, Health Information Management and Electrical and Electronic Engineering, having authored 8 papers that have together received 345 indexed citations. Recurring topics across this work include Aluminum Alloys Composites Properties (5 papers), Advanced materials and composites (5 papers), Powder Metallurgy Techniques and Materials (3 papers), AI in cancer detection (2 papers), Neural Networks and Applications (2 papers), Face and Expression Recognition (1 paper), Artificial Intelligence in Healthcare (1 paper) and Metaheuristic Optimization Algorithms Research (1 paper). The work is most often cited by research in Ceramics and Composites (53 citations), Mechanical Engineering (213 citations), Health Information Management (23 citations), Mechanics of Materials (61 citations) and Artificial Intelligence (57 citations). N. Leema has collaborated with scholars based in India. Frequent co-authors include S.C. Vettivel, N. Selvakumar, H. Khanna Nehemiah, A. Kannan, R. Narayanasamy, Haiter Lenin Allasi and K. Kalaiselvan. Their work appears in journals such as Applied Soft Computing, Bulletin of the Chemical Society of Ethiopia, International Journal of Operations Research and Information Systems and Materials & Design (1980-2015).

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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