Sanjay Singh
- Health Informatics top 10%
-
- Efficiency Analysis Using DEA 8
- Stock Market Forecasting Methods 6
- Artificial Intelligence top 5%
- Topic Modeling 11
- Natural Language Processing Techniques 7
- Information Systems top 5%
- Spam and Phishing Detection 5
-
- Healthcare Systems and Reforms 6
-
- Formal Methods in Verification 6
-
- Network Security and Intrusion Detection 5
- Co-authors
- Shiv Prasad YadavShivi AgarwalRadhika M. PaiYash SharmaSunil KumarM. Sathish KumarSuraj PaiJ.P. Mehta
- Partner nations
- IndiaUnited StatesSingapore
In The Last Decade
Sanjay Singh
74 papers receiving 789 citations
Peers
Comparison fields: 5 of 101
- Health Informatics 21
- Management Science and Operations Research 161
- Artificial Intelligence 408
- Computer Science Applications 68
- Information Systems 200
Countries citing papers authored by Sanjay Singh
This map shows the geographic impact of Sanjay Singh'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 Sanjay Singh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sanjay Singh more than expected).
Fields of papers citing papers by Sanjay Singh
This network shows the impact of papers produced by Sanjay Singh. 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 Sanjay Singh. The network helps show where Sanjay Singh may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sanjay Singh, 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 | 2025 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 0 | |
| 6 | 2022 | 0 | |
| 7 | 2022 | 1 | |
| 8 | 2021 | 0 | |
| 9 | CONCEPTUAL FRAMEWORK OF RELATIONSHIP BETWEEN PROMOTIONAL TOOLS & CONSUMER BUYING BEHAVIOR | 2017 | 2 |
| 10 | 2015 | 5 | |
| 11 | 2015 | 1 | |
| 12 | 2014 | 42 | |
| 13 | 2012 | 9 | |
| 14 | 2012 | 0 | |
| 15 | 2012 | 4 | |
| 16 | 2011 | 14 | |
| 17 | 2011 | 50 | |
| 18 | 2010 | 4 | |
| 19 | 2010 | 48 | |
| 20 | Effect of organic manures and inorganic fertilizers on growth characters, yield and economics of sprouting broccoli cv. Fiesta | 2008 | 4 |
About Sanjay Singh
Sanjay Singh is a scholar working on Management Science and Operations Research, Artificial Intelligence and Computer Networks and Communications, having authored 85 papers that have together received 863 indexed citations. Recurring topics across this work include Topic Modeling (11 papers), Efficiency Analysis Using DEA (8 papers), Natural Language Processing Techniques (7 papers), Healthcare Systems and Reforms (6 papers), Stock Market Forecasting Methods (6 papers), Formal Methods in Verification (6 papers), Spam and Phishing Detection (5 papers) and Network Security and Intrusion Detection (5 papers). The work is most often cited by research in Health Informatics (21 citations), Management Science and Operations Research (161 citations) and Artificial Intelligence (408 citations). Sanjay Singh has collaborated with scholars based in India, United States and Singapore. Frequent co-authors include Shiv Prasad Yadav, Shivi Agarwal, Radhika M. Pai, Yash Sharma, Sunil Kumar, M. Sathish Kumar, Suraj Pai, J.P. Mehta, Keerthi Shetty and Yannis Stavrakas. Their work appears in journals such as IEEE Access, ACM Computing Surveys and Applied Soft Computing.
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.