Niki Martinel

2.7k total citations
63 papers, 1.2k citations indexed

About

Niki Martinel is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Artificial Intelligence. According to data from OpenAlex, Niki Martinel has authored 63 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Computer Vision and Pattern Recognition, 24 papers in Biomedical Engineering and 9 papers in Artificial Intelligence. Recurrent topics in Niki Martinel's work include Video Surveillance and Tracking Methods (36 papers), Gait Recognition and Analysis (17 papers) and Face recognition and analysis (16 papers). Niki Martinel is often cited by papers focused on Video Surveillance and Tracking Methods (36 papers), Gait Recognition and Analysis (17 papers) and Face recognition and analysis (16 papers). Niki Martinel collaborates with scholars based in Italy, Singapore and Spain. Niki Martinel's co-authors include Christian Micheloni, Gian Luca Foresti, Claudio Piciarelli, Jorge García, Alfredo Gardel, Matteo Dunnhofer, Danilo Avola, Daniele Pannone, Ignácio Bravo and Amit K. Roy–Chowdhury and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and IEEE Access.

In The Last Decade

Niki Martinel

62 papers receiving 1.2k citations

Peers

Niki Martinel
Comparison fields: 5 of 89
  • Computer Vision and Pattern Recognition 893
  • Biomedical Engineering 417
  • Artificial Intelligence 164
  • Public Health, Environmental and Occupational Health 123
  • Aerospace Engineering 106
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Hengde Zhu United Kingdom
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Citations per field, relative to Niki Martinel
Niki Martinel · 1×
Citations per year, relative to Niki Martinel
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Countries citing papers authored by Niki Martinel

Since Specialization
Citations

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

Fields of papers citing papers by Niki Martinel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Niki Martinel

This figure shows the co-authorship network connecting the top 25 collaborators of Niki Martinel. A scholar is included among the top collaborators of Niki Martinel 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 Niki Martinel. Niki Martinel 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 1
2 3
3 5
4 1
5 7
6 13
7 17
8
Improving MRI-based Knee Disorder Diagnosis with Pyramidal Feature Details
9
9 57
10 46
11 9
12 43
13 81
14 25
15 13
16 17
17 3
18 11
19 63
20
Distributed signature fusion for person re-identification
22

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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