Sweta Singh

906 citations
41 papers · 361 indexed · h-index 8
Topics
IoT and Edge/Fog Computing (4 papers)Cloud Computing and Resource Management (4 papers)Image Enhancement Techniques (3 papers)
Partner nations
IndiaUnited StatesIraq

In The Last Decade

Sweta Singh

31 papers receiving 332 citations

Peers

Sweta Singh
Comparison fields: 5 of 130
  • Infectious Diseases 66
  • Modeling and Simulation 37
  • Information Systems 32
  • General Health Professions 31
  • Sociology and Political Science 28
Replace Judith V. Douglas with:
Judith V. Douglas United States
Gianfranco Politano Italy
Hamed Rahimi Iran
Jeremy Ratcliff United Kingdom
Luís Villa New Zealand
John W. Loonsk United States
James C. McClay United States
Lisa Parker Australia
Héctor Flórez Colombia
Saurabh Kumar India
Sweta Singh relative to Judith V. Douglas United States Judith V. Douglas's profile →
Citations per field
00.5×7.4×
Judith V. Douglas · 1×
Citations per year

Countries citing papers authored by Sweta Singh

Since Specialization
Citations

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

Fields of papers citing papers by Sweta Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sweta Singh

This figure shows the co-authorship network connecting the top 25 collaborators of Sweta Singh. A scholar is included among the top collaborators of Sweta Singh 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 Sweta Singh. Sweta Singh 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 1
2 0
3 0
4 3
5 5
6 5
7 59
8 5
9 7
10 5
11 6
12 21
13 1
14 8
15 3
16 11
17
The Impact of Marketing Variables on Business Performance: An Analysis of FMCG, Consumer Durables and Textile Industries
1
18
Study on efficiency and effectiveness of toon branding
1
19 1
20
The Journey of Expatriates from pre Expatriation to post Expatriation
3

About Sweta Singh

Sweta Singh is a scholar working on General Dentistry, Complementary and Manual Therapy and Computer Vision and Pattern Recognition, having authored 41 papers that have together received 361 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (4 papers), Cloud Computing and Resource Management (4 papers) and Image Enhancement Techniques (3 papers). The work is most often cited by research in Modeling and Simulation (37 citations), Complementary and Manual Therapy (10 citations) and Infectious Diseases (66 citations). Sweta Singh has collaborated with scholars based in India, United States and Iraq. Frequent co-authors include Héctor Flórez, Rakesh Kumar, Keun Woo Lee, Vikas Kumar, Akalesh K. Verma, S. Aishwarya, Ihosvany Camps, Anand Singh Jalal, Akhilesh Kumar Singh and Martha Quinn. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Biomedicine & Pharmacotherapy.

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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