Sangeeta Pant

39 papers receiving 863 citations

Hit Papers

Consistency Indices in Analytic Hierarchy Process: A Review202220262023202420224080120

Peers

Sangeeta Pant
Comparison fields: 5 of 111
  • Artificial Intelligence 190
  • Safety, Risk, Reliability and Quality 142
  • Electrical and Electronic Engineering 120
  • Management Science and Operations Research 115
  • Control and Systems Engineering 107
Replace V. Ebrahimipour with:
V. Ebrahimipour Iran
Celso Marcelo Franklin Lapa Brazil
H. S. Sii United Kingdom
Lu Lu United States
Seyed Mohammad Asadzadeh Iran
Steffen Rebennack United States
Mingyang Li China
Ling‐Xiang Mao China
Benny Raphael India
Giacomo Maria Galante Italy
Sangeeta Pant relative to V. Ebrahimipour Iran V. Ebrahimipour's profile →
Citations per field
00.5×5.8×
V. Ebrahimipour · 1×
Citations per year

Countries citing papers authored by Sangeeta Pant

Since Specialization
Citations

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

Fields of papers citing papers by Sangeeta Pant

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sangeeta Pant

This figure shows the co-authorship network connecting the top 25 collaborators of Sangeeta Pant. A scholar is included among the top collaborators of Sangeeta Pant 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 Sangeeta Pant. Sangeeta Pant 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 2
2 0
3 0
4 0
5 0
6 29
7 14
8 10
9 5
10 1
11 1
12 9
13 54
14 86
15 35
16 33
17 37
18
A modified particle swarm optimization algorithm for nonlinear optimization
22
19 78
20 20

About Sangeeta Pant

Sangeeta Pant is a scholar working on Software, Safety, Risk, Reliability and Quality and Management Science and Operations Research, having authored 45 papers that have together received 899 indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (9 papers), Reliability and Maintenance Optimization (9 papers) and Software Reliability and Analysis Research (6 papers). The work is most often cited by research in Software (64 citations), Safety, Risk, Reliability and Quality (142 citations) and Statistics, Probability and Uncertainty (69 citations). Sangeeta Pant has collaborated with scholars based in India, Russia and Australia. Frequent co-authors include Anuj Kumar, Mangey Ram, Hitesh Kumar Sharma, Yury Klochkov, Shshank Chaube, S. B. Singh, Akshay Kumar, Ketan Kotecha, Sukhbir Singh and Bhagawati Prasad Joshi. Their work appears in journals such as Scientific Reports, IEEE Access and International Journal of Quality & Reliability Management.

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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