Mandeep Kaur

38 papers receiving 579 citations

Peers

Mandeep Kaur
Comparison fields: 5 of 121
  • Nuclear Energy and Engineering 4
  • Management Information Systems 77
  • Software 25
  • Media Technology 56
  • Information Systems 138
Replace Arun Solanki with:
Arun Solanki India
Hojjat Adeli United States
Prashant Johri India
Iveta Zolotová Slovakia
Israel González‐Carrasco Spain
Alejandro Maté Spain
José Luis López-Cuadrado Spain
Yousef Ibrahim Daradkeh Saudi Arabia
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Citations per year

Countries citing papers authored by Mandeep Kaur

Since Specialization
Citations

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

Fields of papers citing papers by Mandeep Kaur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mandeep Kaur, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mandeep Kaur Line = papers co-authored together Mandeep Kaur links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011104
2 201271
3 201852
4 201143
5 202242
6 202132
7 202029
8 202329
9 202129
10 202119
11 201719
12 202117
13 202314
14 201413
15 202312
16 201212
17 202012
18 201610
19 201010
20 20138

About Mandeep Kaur

Mandeep Kaur is a scholar working on Information Systems, Computer Networks and Communications, Strategy and Management, Management Information Systems and Software, having authored 41 papers that have together received 628 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (6 papers), Sustainable Supply Chain Management (4 papers), Software Engineering Research (4 papers), Quality and Supply Management (4 papers), Software Reliability and Analysis Research (4 papers), Distributed and Parallel Computing Systems (4 papers), Software System Performance and Reliability (3 papers) and Quality and Management Systems (3 papers). The work is most often cited by research in Nuclear Energy and Engineering (4 citations), Management Information Systems (77 citations), Software (25 citations), Media Technology (56 citations) and Information Systems (138 citations). Mandeep Kaur has collaborated with scholars based in India, China and Belgium. Frequent co-authors include Parvinder S. Sandhu, Kanwarpreet Singh, Neeraj Mohan, Inderpreet Singh Ahuja, Anil Jadhav, Sachin R. Sakhare, Dipti D. Patil, Lei Jiang, Franco Gandolfi and Huiying Hu. Their work appears in journals such as Evolutionary Intelligence, International Journal of Quality & Reliability Management, Sustainable Energy Technologies and Assessments, International Journal of Productivity and Performance Management and Engineering Science and Technology an International Journal.

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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