Mukesh Saini

1.5k citations
65 papers · 979 indexed · 1 hit paper · h-index 15
Topics
Video Surveillance and Tracking Methods (17 papers)Anomaly Detection Techniques and Applications (11 papers)Video Analysis and Summarization (8 papers)
Partner nations
IndiaCanadaSingapore

In The Last Decade

Mukesh Saini

62 papers receiving 939 citations

Hit Papers

Toward Social Internet of Vehicles: Concept, Architecture...2015202620182022201550100150200250

Peers

Mukesh Saini
Comparison fields: 5 of 85
  • Electrical and Electronic Engineering 335
  • Computer Networks and Communications 331
  • Computer Vision and Pattern Recognition 330
  • Artificial Intelligence 195
  • Information Systems 163
Replace Xueshi Hou with:
Xueshi Hou United States
Huajie Shao United States
Tongqing Zhou China
Ken Sakamura Japan
Noboru Koshizuka Japan
Mi Wen China
Sandip Chakraborty India
Daibo Liu China
Teddy Mantoro Indonesia
Aaron Carroll Australia
Mukesh Saini relative to Xueshi Hou United States Xueshi Hou's profile →
Citations per field
00.5×5.7×
Xueshi Hou · 1×
Citations per year

Countries citing papers authored by Mukesh Saini

Since Specialization
Citations

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

Fields of papers citing papers by Mukesh Saini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mukesh Saini

This figure shows the co-authorship network connecting the top 25 collaborators of Mukesh Saini. A scholar is included among the top collaborators of Mukesh Saini 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 Mukesh Saini. Mukesh Saini 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
#WorkIndexed citations
1 0
2 10
3 3
4 2
5 0
6 1
7 1
8 2
9 2
10 14
11 3
12 1
13 2
14 8
15 88
16 1
17 49
18 8
19 22
20 8

About Mukesh Saini

Mukesh Saini is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Computer Networks and Communications, having authored 65 papers that have together received 979 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (17 papers), Anomaly Detection Techniques and Applications (11 papers) and Video Analysis and Summarization (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (330 citations), Computer Networks and Communications (331 citations) and Computer Science Applications (66 citations). Mukesh Saini has collaborated with scholars based in India, Canada and Singapore. Frequent co-authors include Abdulmotaleb El Saddik, Kazi Masudul Alam, Neeraj Goel, Pradeep K. Atrey, Mohan Kankanhalli, Sharad Mehrotra, Abdulhameed Alelaiwi, Wei Tsang Ooi, Shuicheng Yan and Raghudeep Gadde. Their work appears in journals such as IEEE Access, Sensors and ACM Computing Surveys.

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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