Nagesh Shukla

4.3k citations
88 papers · 3.0k indexed · 1 hit paper · h-index 28
Topics
Sustainable Supply Chain Management (16 papers)Supply Chain and Inventory Management (9 papers)Supply Chain Resilience and Risk Management (9 papers)

In The Last Decade

Nagesh Shukla

86 papers receiving 2.9k citations

Hit Papers

Deep Learning Approaches Applied to Remote Sensing Datase...2020202620222024202050100150200

Peers

Nagesh Shukla
Comparison fields: 5 of 165
  • Strategy and Management 856
  • Management Information Systems 661
  • Industrial and Manufacturing Engineering 453
  • Artificial Intelligence 451
  • Radiology, Nuclear Medicine and Imaging 317
Replace Jennifer Shang with:
Jennifer Shang United States
Erfan Babaee Tırkolaee Türkiye
Amir M. Fathollahi‐Fard Canada
Maxim A. Dulebenets United States
R.J. Kuo Taiwan
Ching‐Ter Chang Taiwan
Fahim Ullah Australia
Asil Oztekin United States
Vladimir Šimić Serbia
Saeid Jafarzadeh Ghoushchi Iran
Nagesh Shukla relative to Jennifer Shang United States Jennifer Shang's profile →
Citations per field
00.5×3.7×
Jennifer Shang · 1×
Citations per year

Countries citing papers authored by Nagesh Shukla

Since Specialization
Citations

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

Fields of papers citing papers by Nagesh Shukla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nagesh Shukla

This figure shows the co-authorship network connecting the top 25 collaborators of Nagesh Shukla. A scholar is included among the top collaborators of Nagesh Shukla 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 Nagesh Shukla. Nagesh Shukla 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 3
3 13
4 2
5 7
6 3
7 29
8 64
9 62
10 27
11 44
12
Understanding the Food Supply Chain using Social Media Data Analysis
1
13 20
14 27
15 2
16 9
17 1
18 1
19 13
20 8

About Nagesh Shukla

Nagesh Shukla is a scholar working on Management Information Systems, Tourism, Leisure and Hospitality Management and Industrial and Manufacturing Engineering, having authored 88 papers that have together received 3.0k indexed citations. Recurring topics across this work include Sustainable Supply Chain Management (16 papers), Supply Chain and Inventory Management (9 papers) and Supply Chain Resilience and Risk Management (9 papers). The work is most often cited by research in Management Information Systems (661 citations), Strategy and Management (856 citations) and Health Informatics (66 citations). Nagesh Shukla has collaborated with scholars based in Australia, United Kingdom and India. Frequent co-authors include Biswajeet Pradhan, Nishikant Mishra, Firouzeh Taghikhah, Subrata Chakraborty, Sanjoy Kumar Paul, Akshit Singh, Abdullah Alamri, Alexey Voinov, Abolfazl Abdollahi and Senevi Kiridena. Their work appears in journals such as PLoS ONE, Journal of Cleaner Production and Applied Energy.

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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