Raja Das
- Computer Networks and Communications top 2%
- Hardware and Architecture top 1%
- Biomedical Engineering
- Electrical and Electronic Engineering
- Mechanical Engineering top 10%
- Co-authors
- Joel SaltzMustafa UysalR. PonnusamyM. K. PradhanJ. SaltzY. S. HwangP. Bala Anki ReddyDimitri J. Mavriplis
- Topics
- Parallel Computing and Optimization Techniques (29 papers)Advanced Data Storage Technologies (15 papers)Distributed and Parallel Computing Systems (13 papers)
- Partner nations
- IndiaUnited StatesNetherlands
In The Last Decade
Raja Das
88 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 129
- Computer Networks and Communications 525
- Hardware and Architecture 519
- Biomedical Engineering 240
- Electrical and Electronic Engineering 231
- Mechanical Engineering 227
Countries citing papers authored by Raja Das
This map shows the geographic impact of Raja 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 Raja Das with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raja Das more than expected).
Fields of papers citing papers by Raja Das
This network shows the impact of papers produced by Raja 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 Raja Das. The network helps show where Raja Das may publish in the future.
Co-authorship network of co-authors of Raja Das
This figure shows the co-authorship network connecting the top 25 collaborators of Raja Das. A scholar is included among the top collaborators of Raja 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 Raja Das. Raja 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 | 5 | |
| 2 | 6 | |
| 3 | 7 | |
| 4 | 6 | |
| 5 | 1 | |
| 6 | 14 | |
| 7 | 8 | |
| 8 | 19 | |
| 9 | 6 | |
| 10 | 20 | |
| 11 | 1 | |
| 12 | 22 | |
| 13 | 18 | |
| 14 | Control and Analysis of MPPT Techniques for Maximizing Power Extraction and Eliminating Oscillations in PV System | 9 |
| 15 | Web Services Gateway: The Building Block for Business Connections and Dynamic e-Business. | 1 |
| 16 | 20 | |
| 17 | Future Branches -- Beyond Speculative Execution | 3 |
| 18 | Parallelizing Molecular Dynamics Codes using the Parti Software Primitives. | 5 |
| 19 | The incremental scheduler | 1 |
| 20 | Unstructured Mesh Problems, PARTI Primitives, and the ARF Compiler | 1 |
About Raja Das
Raja Das is a scholar working on Hardware and Architecture, Computer Networks and Communications and Modeling and Simulation, having authored 93 papers that have together received 1.3k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (29 papers), Advanced Data Storage Technologies (15 papers) and Distributed and Parallel Computing Systems (13 papers). The work is most often cited by research in Hardware and Architecture (519 citations), Computer Networks and Communications (525 citations) and Software (30 citations). Raja Das has collaborated with scholars based in India, United States and Netherlands. Frequent co-authors include Joel Saltz, Mustafa Uysal, R. Ponnusamy, M. K. Pradhan, J. Saltz, Y. S. Hwang, P. Bala Anki Reddy, Dimitri J. Mavriplis, Joel Saltz and Yuan‐Shin Hwang. Their work appears in journals such as Chemosphere, Expert Systems with Applications and IEEE Access.
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.