Mohd Naved

63 papers receiving 1.5k citations

Mohd Naved's Hit Papers

Applications of artificial intelligence in business management, e-commerce and finance 2021 · 154 citations
1540+1+3Years since publication50100150

Peers

Mohd Naved
Comparison fields: 5 of 135
  • Health Information Management 143
  • Health Informatics 34
  • Information Systems 398
  • Management Information Systems 130
  • Artificial Intelligence 389
Replace Daphne Lopez with:
Daphne Lopez India
Vinod Kumar Shukla United Arab Emirates
Azlinah Mohamed Malaysia
N. Deepa India
B. Prabadevi India
Varsha Arya Taiwan
Qianwen Xu United Kingdom
Mohsen Marjani Malaysia
C. B. Sivaparthipan China
Md. Abul Kalam Azad Bangladesh
Mohd Naved relative to Daphne Lopez India Daphne Lopez's profile →
Citations per field
00.5×2×4×6×8.5×
Daphne Lopez · 1×
Citations per year

Countries citing papers authored by Mohd Naved

Since Specialization
Citations

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

Fields of papers citing papers by Mohd Naved

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mohd Naved, 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 Mohd Naved Line = papers co-authored together Mohd Naved links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Applications of artificial intelligence in business management, e-commerce and finance
Hit paper breakdown →
2021154
2 2021141
3 2021116
4 2022105
5 202198
6 202171
7 202156
8 202149
9 202140
10 202240
11 202232
12 202130
13 202230
14 202224
15 202324
16 202324
17 202223
18 202223
19 202322
20 202222

About Mohd Naved

Mohd Naved is a scholar working on Information Systems, Computer Networks and Communications, Artificial Intelligence, Management Science and Operations Research and Plant Science, having authored 72 papers that have together received 1.6k indexed citations. Recurring topics across this work include Internet of Things and AI (9 papers), Blockchain Technology Applications and Security (8 papers), Smart Systems and Machine Learning (6 papers), IoT and Edge/Fog Computing (5 papers), Smart Agriculture and AI (5 papers), Big Data and Business Intelligence (4 papers), Stock Market Forecasting Methods (4 papers) and Artificial Intelligence in Healthcare (4 papers). The work is most often cited by research in Health Information Management (143 citations), Health Informatics (34 citations), Information Systems (398 citations), Management Information Systems (130 citations) and Artificial Intelligence (389 citations). Mohd Naved has collaborated with scholars based in India, Thailand and United States. Frequent co-authors include Harikumar Pallathadka, Edwin Ramirez-Asís, Karthikeyan Kaliyaperumal, Guna Sekhar Sajja, Domenic T. Sanchez, Khongdet Phasinam, Randy Joy Magno Ventayen, Malik Mustafa, Alim Al Ayub Ahmed and Samrat Ray. Their work appears in journals such as Materials Today Proceedings, Scientific Reports, ECS Transactions, International Journal of Systems Assurance Engineering and Management and Security and Communication Networks.

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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