Sanjib Das
- Artificial Intelligence top 5%
- Management Science and Operations Research top 1%
- Molecular Biology
- Information Systems top 5%
- Cancer Research
- Co-authors
- AnHai DoanTarun JhaSk. Abdul AminJeffrey F. NaughtonJude ShavlikXiaojin ZhuGanesh KrishnanChaitanya S. Gokhale
- Topics
- Data Quality and Management (10 papers)Protease and Inhibitor Mechanisms (9 papers)Web Data Mining and Analysis (6 papers)
- Cited by
- Management Science and Operations ResearchArtificial IntelligenceComputer Science Applications
- Partner nations
- IndiaUnited StatesNorway
In The Last Decade
Sanjib Das
44 papers receiving 852 citations
Peers
Comparison fields: 5 of 103
- Artificial Intelligence 460
- Management Science and Operations Research 407
- Molecular Biology 175
- Information Systems 171
- Cancer Research 92
Countries citing papers authored by Sanjib Das
This map shows the geographic impact of Sanjib Das'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 Sanjib Das with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sanjib Das more than expected).
Fields of papers citing papers by Sanjib Das
This network shows the impact of papers produced by Sanjib Das. 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 Sanjib Das. The network helps show where Sanjib Das may publish in the future.
Co-authorship network of co-authors of Sanjib Das
This figure shows the co-authorship network connecting the top 25 collaborators of Sanjib Das. A scholar is included among the top collaborators of Sanjib Das 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 Sanjib Das. Sanjib Das is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 8 | |
| 3 | 2 | |
| 4 | 7 | |
| 5 | 8 | |
| 6 | 6 | |
| 7 | 19 | |
| 8 | 9 | |
| 9 | 12 | |
| 10 | 3 | |
| 11 | 12 | |
| 12 | 7 | |
| 13 | 8 | |
| 14 | 77 | |
| 15 | 6 | |
| 16 | Toward a System Building Agenda for Data Integration (and Data Science). | 3 |
| 17 | 8 | |
| 18 | Social Media Analytics: The Kosmix Story. | 10 |
| 19 | Performance of crossbred gilts under the influence of age and body weight | 0 |
| 20 | 5 |
About Sanjib Das
Sanjib Das is a scholar working on Computer Graphics and Computer-Aided Design, Management Science and Operations Research and Cancer Research, having authored 46 papers that have together received 903 indexed citations. Recurring topics across this work include Data Quality and Management (10 papers), Protease and Inhibitor Mechanisms (9 papers) and Web Data Mining and Analysis (6 papers). The work is most often cited by research in Management Science and Operations Research (407 citations), Artificial Intelligence (460 citations) and Computer Science Applications (71 citations). Sanjib Das has collaborated with scholars based in India, United States and Norway. Frequent co-authors include AnHai Doan, Tarun Jha, Sk. Abdul Amin, Jeffrey F. Naughton, Jude Shavlik, Xiaojin Zhu, Ganesh Krishnan, Chaitanya S. Gokhale, Adel Ardalan and Pradap Konda. Their work appears in journals such as Scientific Reports, Biochemical Pharmacology and Phytochemistry.
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.