Surjeet Dalal
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- Artificial Intelligence in Healthcare 9
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- Network Security and Intrusion Detection 10
- IoT and Edge/Fog Computing 8
- Artificial Intelligence top 5%
- Anomaly Detection Techniques and Applications 5
- Information Systems top 5%
- Cloud Data Security Solutions 8
- Blockchain Technology Applications and Security 5
- Signal Processing top 10%
- Advanced Malware Detection Techniques 5
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- Video Surveillance and Tracking Methods 4
- Co-authors
- Umesh Kumar LilhoreSarita SimaiyaEdeh Michael OnyemaBijeta SethDac‐Nhuong LeVivek JaglanMagdalena RãdulescuSenthilkumar Mohan
- Journals
- SHILAP Revista de lepidopterología (1 paper)Scientific Reports (3 papers)Sensors (2 papers)
- Partner nations
- IndiaSaudi ArabiaNigeria
In The Last Decade
Surjeet Dalal
81 papers receiving 941 citations
Peers
Comparison fields: 5 of 121
- Health Information Management 115
- Computer Networks and Communications 244
- Artificial Intelligence 340
- Information Systems 189
- Signal Processing 84
Countries citing papers authored by Surjeet Dalal
This map shows the geographic impact of Surjeet Dalal'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 Surjeet Dalal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Surjeet Dalal more than expected).
Fields of papers citing papers by Surjeet Dalal
This network shows the impact of papers produced by Surjeet Dalal. 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 Surjeet Dalal. The network helps show where Surjeet Dalal may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Surjeet Dalal, 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 | 2024 | 10 | |
| 2 | 2024 | 13 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 9 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 3 | |
| 7 | 2024 | 2 | |
| 8 | 2024 | 1 | |
| 9 | 2024 | 1 | |
| 10 | 2024 | 7 | |
| 11 | 2023 | 19 | |
| 12 | 2023 | 13 | |
| 13 | 2023 | 5 | |
| 14 | 2023 | 32 | |
| 15 | 2023 | 33 | |
| 16 | 2022 | 4 | |
| 17 | 2017 | 1 | |
| 18 | 2017 | 1 | |
| 19 | Designing architecture of demand forecasting tool using multi-agent system | 2014 | 2 |
| 20 | Analysing Supply Chain Strategy Using Case-Based Reasoning | 2011 | 4 |
About Surjeet Dalal
Surjeet Dalal is a scholar working on Health Information Management, Artificial Intelligence and Computer Networks and Communications, having authored 84 papers that have together received 995 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (10 papers), Artificial Intelligence in Healthcare (9 papers), Cloud Data Security Solutions (8 papers), IoT and Edge/Fog Computing (8 papers), Blockchain Technology Applications and Security (5 papers), Anomaly Detection Techniques and Applications (5 papers), Advanced Malware Detection Techniques (5 papers) and Video Surveillance and Tracking Methods (4 papers). The work is most often cited by research in Health Information Management (115 citations), Computer Networks and Communications (244 citations) and Artificial Intelligence (340 citations). Surjeet Dalal has collaborated with scholars based in India, Saudi Arabia and Nigeria. Frequent co-authors include Umesh Kumar Lilhore, Sarita Simaiya, Edeh Michael Onyema, Bijeta Seth, Dac‐Nhuong Le, Vivek Jaglan, Magdalena Rãdulescu, Senthilkumar Mohan, Gautam Srivastava and Osamah Ibrahim Khalaf. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Sensors.
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.