Muhammad Shahbaz

3.9k citations
102 papers · 2.6k indexed · h-index 29
Topics
Technology Adoption and User Behaviour (9 papers)Data Mining Algorithms and Applications (8 papers)Rough Sets and Fuzzy Logic (8 papers)
Journals
SHILAP Revista de lepidopterologíaRenewable and Sustainable Energy ReviewsPLoS ONE
Partner nations
PakistanChinaCanada

In The Last Decade

Muhammad Shahbaz

87 papers receiving 2.4k citations

Peers

Muhammad Shahbaz
Comparison fields: 5 of 163
  • Artificial Intelligence 601
  • Information Systems 478
  • Strategy and Management 384
  • Management Information Systems 332
  • Information Systems and Management 331
Replace Álvaro Rocha with:
Álvaro Rocha Portugal
T. S. Raghu United States
Muhammad Anshari Brunei
Othman Ibrahim Malaysia
Shah Jahan Miah Australia
Hossein Ahmadi Iran
Amir Gandomi United States
Ali Sunyaev Germany
Murtaza Haider Canada
Zhiqiang Zheng United States
Muhammad Shahbaz relative to Álvaro Rocha Portugal Álvaro Rocha's profile →
Citations per field
00.5×1.5×
Álvaro Rocha · 1×
Citations per year

Countries citing papers authored by Muhammad Shahbaz

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Shahbaz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muhammad Shahbaz

This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Shahbaz. A scholar is included among the top collaborators of Muhammad Shahbaz 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 Muhammad Shahbaz. Muhammad Shahbaz 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 9
3 17
4 2
5 5
6 26
7 1
8 3
9 0
10 5
11 2
12 0
13 2
14 58
15 35
16 49
17
Neural Network Approach for Irony Detection from Arabic Text on Social Media.
1
18 62
19 56
20
Migration and Tourism Demand
15

About Muhammad Shahbaz

Muhammad Shahbaz is a scholar working on Health Information Management, Information Systems and Management and Management Information Systems, having authored 102 papers that have together received 2.6k indexed citations. Recurring topics across this work include Technology Adoption and User Behaviour (9 papers), Data Mining Algorithms and Applications (8 papers) and Rough Sets and Fuzzy Logic (8 papers). The work is most often cited by research in Health Information Management (311 citations), Information Systems and Management (331 citations) and Management Information Systems (332 citations). Muhammad Shahbaz has collaborated with scholars based in Pakistan, China and Canada. Frequent co-authors include Fakhar Shahzad, Aziz Guergachi, J. A. Harding, Guoyi Xiu, Srinivas, Andrew Kusiak, Sajida Perveen, Karim Keshavjee, Changyuan Gao and Jian Wang. Their work appears in journals such as SHILAP Revista de lepidopterología, Renewable and Sustainable Energy Reviews and PLoS ONE.

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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