Amir M. Sharif

65 papers receiving 1.8k citations

Peers

Amir M. Sharif
Comparison fields: 5 of 113
  • Management Information Systems 661
  • Strategy and Management 621
  • Food Science 340
  • Management Science and Operations Research 278
  • Sociology and Political Science 242
Replace Rohit Kumar Singh with:
Rohit Kumar Singh India
Élisabeth Lefebvre Canada
Usha Ramanathan United Kingdom
Ferry Jie Australia
Anníbal Scavarda Brazil
Edmund Prater United States
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Mohd. Nishat Faisal Qatar
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Amir M. Sharif relative to Rohit Kumar Singh India Rohit Kumar Singh's profile →
Citations per field
00.5×10×14.3×
Rohit Kumar Singh · 1×
Citations per year

Countries citing papers authored by Amir M. Sharif

Since Specialization
Citations

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

Fields of papers citing papers by Amir M. Sharif

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amir M. Sharif. 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 Amir M. Sharif. The network helps show where Amir M. Sharif may publish in the future.

Co-authorship network of co-authors of Amir M. Sharif

This figure shows the co-authorship network connecting the top 25 collaborators of Amir M. Sharif. A scholar is included among the top collaborators of Amir M. Sharif 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 Amir M. Sharif. Amir M. Sharif 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 18
3 37
4 117
5 3
6 13
7 6
8
Evaluating the transition of e-Government: A review of local authorities in England
0
9
Pedagogical agents as social models in an online learning environment MathGirls
1
10
INFORMATION, KNOWLEDGE AND THE CONTEXT OF INTERACTION
6
11 26
12 14
13 57
14
Emergence of ERPII Characteristics within an ERP integration context
10
15
Knowledge Dependencies in Fuzzy Information Systems Evaluation
3
16
Integrating Information and Knowledge for Enterprise Innovation
4
17 2
18
Neural and Evolutionary Computing in Finite Element Analysis
2
19
A revised perspective on the evaluation of IT/IS investments using an evolutionary approach
1
20 5

About Amir M. Sharif

Amir M. Sharif is a scholar working on Management Information Systems, Strategy and Management and Management Science and Operations Research, having authored 71 papers that have together received 1.9k indexed citations. Recurring topics across this work include Cognitive Science and Mapping (15 papers), Information Technology Governance and Strategy (12 papers) and Complex Systems and Decision Making (10 papers). The work is most often cited by research in Management Information Systems (661 citations), Strategy and Management (621 citations) and Information Systems and Management (197 citations). Amir M. Sharif has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include Zahir Irani, Peter E.D. Love, Naimatullah Shah, Zeynep Topaloğlu, Emel Aktaş, Muhammad Mustafa Kamal, Atta Badii, Graham Heaslip, Wafi Al‐Karaghouli and Yogesh K. Dwivedi. Their work appears in journals such as European Journal of Operational Research, Journal of Business Research and Expert Systems with Applications.

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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