Sheikh Mohammad Idrees
Impact in
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- Stock Market Forecasting Methods
- Forecasting Techniques and Applications
- Information Systems top 5%
- Blockchain Technology Applications and Security
Papers in
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- Blockchain Technology Applications and Security 4
- Cloud Computing and Resource Management 3
- Internet of Things and AI 2
- COVID-19 Digital Contact Tracing 1
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- IoT and Edge/Fog Computing 3
- Distributed and Parallel Computing Systems 2
- Co-authors
- Parul Agarwal (5 shared papers)M. Afshar Alam (4 shared papers)Mariusz Nowostawski (5 shared papers)Roshan Jameel (4 shared papers)Ashish Kumar Mourya (1 shared paper)Ahmed J. Obaid (1 shared paper)M. Rudra Kumar (1 shared paper)Thippa Reddy Gadekallu (1 shared paper)
In The Last Decade
Sheikh Mohammad Idrees
17 papers receiving 436 citations
Peers
Comparison fields: 5 of 81
- Management Science and Operations Research 135
- Information Systems 175
- Computer Networks and Communications 99
- Finance 33
- Artificial Intelligence 104
Countries citing papers authored by Sheikh Mohammad Idrees
This map shows the geographic impact of Sheikh Mohammad Idrees'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 Sheikh Mohammad Idrees with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sheikh Mohammad Idrees more than expected).
Fields of papers citing papers by Sheikh Mohammad Idrees
This network shows the impact of papers produced by Sheikh Mohammad Idrees. 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 Sheikh Mohammad Idrees. The network helps show where Sheikh Mohammad Idrees may publish in the future.
Co-authors
The 12 scholars most cited alongside Sheikh Mohammad Idrees, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 173 | |
| 2 | 2021 | 65 | |
| 3 | 2021 | 47 | |
| 4 | 2022 | 40 | |
| 5 | 2022 | 29 | |
| 6 | 2018 | 23 | |
| 7 | 2021 | 16 | |
| 8 | 2024 | 15 | |
| 9 | 2021 | 15 | |
| 10 | 2021 | 9 | |
| 11 | 2024 | 8 | |
| 12 | 2023 | 6 | |
| 13 | 2022 | 6 | |
| 14 | 2024 | 5 | |
| 15 | 2020 | 3 | |
| 16 | 2024 | 2 | |
| 17 | 2023 | 1 |
About Sheikh Mohammad Idrees
Sheikh Mohammad Idrees is a scholar working on Information Systems, Computer Networks and Communications, Electrical and Electronic Engineering, Artificial Intelligence and Surgery, having authored 17 papers that have together received 463 indexed citations. Recurring topics across this work include Blockchain Technology Applications and Security (4 papers), Cloud Computing and Resource Management (3 papers), IoT and Edge/Fog Computing (3 papers), Internet of Things and AI (2 papers), Distributed and Parallel Computing Systems (2 papers), Context-Aware Activity Recognition Systems (1 paper), COVID-19 Digital Contact Tracing (1 paper) and Energy Load and Power Forecasting (1 paper). The work is most often cited by research in Management Science and Operations Research (135 citations), Information Systems (175 citations), Computer Networks and Communications (99 citations), Finance (33 citations) and Artificial Intelligence (104 citations). Sheikh Mohammad Idrees has collaborated with scholars based in Norway, India and Nepal. Frequent co-authors include Parul Agarwal, M. Afshar Alam, Mariusz Nowostawski, Roshan Jameel, Ashish Kumar Mourya, Ahmed J. Obaid, M. Rudra Kumar, Thippa Reddy Gadekallu, Surbhi Bhatia and Kadiyala Ramana. Their work appears in journals such as Electronics, Frontiers in Oncology, Applied Sciences, IEEE Access and BMC Bioinformatics.
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.