Nihar Kumar Mahato

646 total citations
22 papers, 483 citations indexed

About

Nihar Kumar Mahato is a scholar working on Computer Vision and Pattern Recognition, Computational Theory and Mathematics and Geometry and Topology. According to data from OpenAlex, Nihar Kumar Mahato has authored 22 papers receiving a total of 483 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 8 papers in Computational Theory and Mathematics and 6 papers in Geometry and Topology. Recurrent topics in Nihar Kumar Mahato's work include Optimization and Variational Analysis (6 papers), Fixed Point Theorems Analysis (6 papers) and Image and Signal Denoising Methods (5 papers). Nihar Kumar Mahato is often cited by papers focused on Optimization and Variational Analysis (6 papers), Fixed Point Theorems Analysis (6 papers) and Image and Signal Denoising Methods (5 papers). Nihar Kumar Mahato collaborates with scholars based in India, Spain and Czechia. Nihar Kumar Mahato's co-authors include Ayan Seal, Chinmaya Panigrahy, Debotosh Bhattacharjee, C. Nahak, Consuelo Gonzalo‐Martín, Enrique Herrera‐Viedma, Ángel García‐Pedrero, Ondřej Krejcar, Savin Treanţă and Bipan Hazarika and has published in prestigious journals such as SHILAP Revista de lepidopterología, Neurocomputing and Powder Technology.

In The Last Decade

Nihar Kumar Mahato

20 papers receiving 461 citations

Peers

Nihar Kumar Mahato
Comparison fields: 5 of 91
  • Computer Vision and Pattern Recognition 230
  • Media Technology 214
  • Biomedical Engineering 45
  • Mechanics of Materials 41
  • Computational Mechanics 37
Replace Chinmaya Panigrahy with:
Chinmaya Panigrahy India
Vittoria Bruni Italy
Zheng Fang China
Huiwu Luo China
Junyi Wang China
Pengfei Fan China
Wenxing Bao China
I.A. Esquef Brazil
Yaozong Zhang China
Hongbo Lin China
Chinmaya Panigrahy India View profile →
Citations per field, relative to Nihar Kumar Mahato
Nihar Kumar Mahato · 1×
Citations per year, relative to Nihar Kumar Mahato
Nihar Kumar Mahato · 1×

Countries citing papers authored by Nihar Kumar Mahato

Since Specialization
Citations

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

Fields of papers citing papers by Nihar Kumar Mahato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nihar Kumar Mahato. 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 Nihar Kumar Mahato. The network helps show where Nihar Kumar Mahato may publish in the future.

Co-authorship network of co-authors of Nihar Kumar Mahato

This figure shows the co-authorship network connecting the top 25 collaborators of Nihar Kumar Mahato. A scholar is included among the top collaborators of Nihar Kumar Mahato 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 Nihar Kumar Mahato. Nihar Kumar Mahato 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 4
2 1
3 3
4 2
5 33
6 3
7 23
8 66
9 83
10 38
11 7
12 22
13 45
14 105
15 31
16 1
17 5
18 5
19 0
20 5

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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