Swati Nigam

604 citations
38 papers · 298 indexed · h-index 10
Topics
Video Surveillance and Tracking Methods (12 papers)Human Pose and Action Recognition (10 papers)Anomaly Detection Techniques and Applications (9 papers)
Partner nations
IndiaNorwayCanada

In The Last Decade

Swati Nigam

34 papers receiving 282 citations

Peers

Swati Nigam
Comparison fields: 5 of 62
  • Computer Vision and Pattern Recognition 207
  • Artificial Intelligence 76
  • Experimental and Cognitive Psychology 61
  • Information Systems 24
  • Biomedical Engineering 18
Replace Muhamad Dwisnanto Putro with:
Muhamad Dwisnanto Putro South Korea
Nazil Perveen India
Jinyoung Moon South Korea
Purnawarman Musa Indonesia
Berat A. Erol United States
Alia Karim Abdul Hassan Iraq
Samuel Lukas Indonesia
Reza Fuad Rachmadi Indonesia
Farkhod Akhmedov South Korea
Su‐Wei Tan Malaysia
Swati Nigam relative to Muhamad Dwisnanto Putro South Korea Muhamad Dwisnanto Putro's profile →
Citations per field
00.5×4.5×
Muhamad Dwisnanto Putro · 1×
Citations per year

Countries citing papers authored by Swati Nigam

Since Specialization
Citations

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

Fields of papers citing papers by Swati Nigam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Swati Nigam

This figure shows the co-authorship network connecting the top 25 collaborators of Swati Nigam. A scholar is included among the top collaborators of Swati Nigam 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 Swati Nigam. Swati Nigam 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 7
3 1
4 0
5 9
6 2
7 0
8 0
9 12
10 3
11 1
12 2
13 6
14 21
15 3
16 4
17 61
18 12
19 10
20 7

About Swati Nigam

Swati Nigam is a scholar working on Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology and Urban Studies, having authored 38 papers that have together received 298 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (12 papers), Human Pose and Action Recognition (10 papers) and Anomaly Detection Techniques and Applications (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (207 citations), Experimental and Cognitive Psychology (61 citations) and Human-Computer Interaction (17 citations). Swati Nigam has collaborated with scholars based in India, Norway and Canada. Frequent co-authors include Rajiv Singh, Ashish Khare, Manju Khari, Sakshi Indolia, Sanjay Misra, Chandra Mani Sharma, Manoj Kumar Singh, Vivek Kumar Singh, Rajneesh Srivastava and Kaushik Deb. Their work appears in journals such as IEEE Access, Sensors and Neural Computing and Applications.

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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