Amit Manjhi
- Computer Networks and Communications top 5%
- Signal Processing top 5%
- Artificial Intelligence top 10%
- Information Systems top 10%
- Electrical and Electronic Engineering
- Co-authors
- Phillip B. GibbonsSuman NathChristopher OlstonKedar DhamdhereVladislav ShkapenyukTodd C. MowryBruce M. MaggsAnthony Tomasic
- Topics
- Caching and Content Delivery (6 papers)Peer-to-Peer Network Technologies (4 papers)Distributed systems and fault tolerance (4 papers)
- Journals
- Proceedings of the VLDB EndowmentInfoscience (Ecole Polytechnique Fédérale de Lausanne)Proceedings - International Conference on Data Engineering
- Partner nations
- United StatesUnited KingdomSingapore
In The Last Decade
Amit Manjhi
9 papers receiving 335 citations
Peers
Comparison fields: 5 of 30
- Computer Networks and Communications 332
- Signal Processing 108
- Artificial Intelligence 104
- Information Systems 85
- Electrical and Electronic Engineering 37
Countries citing papers authored by Amit Manjhi
This map shows the geographic impact of Amit Manjhi'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 Amit Manjhi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amit Manjhi more than expected).
Fields of papers citing papers by Amit Manjhi
This network shows the impact of papers produced by Amit Manjhi. 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 Amit Manjhi. The network helps show where Amit Manjhi may publish in the future.
Co-authorship network of co-authors of Amit Manjhi
This figure shows the co-authorship network connecting the top 25 collaborators of Amit Manjhi. A scholar is included among the top collaborators of Amit Manjhi 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 Amit Manjhi. Amit Manjhi 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 | 3 | |
| 3 | 15 | |
| 4 | 24 | |
| 5 | Increasing the scalability of dynamic web applications | 3 |
| 6 | 8 | |
| 7 | 12 | |
| 8 | 124 | |
| 9 | 169 | |
| 10 | 12 |
About Amit Manjhi
Amit Manjhi is a scholar working on Computer Networks and Communications, Signal Processing and Information Systems, having authored 10 papers that have together received 370 indexed citations. Recurring topics across this work include Caching and Content Delivery (6 papers), Peer-to-Peer Network Technologies (4 papers) and Distributed systems and fault tolerance (4 papers). The work is most often cited by research in Computer Networks and Communications (332 citations), Signal Processing (108 citations) and Information Systems (85 citations). Amit Manjhi has collaborated with scholars based in United States, United Kingdom and Singapore. Frequent co-authors include Phillip B. Gibbons, Suman Nath, Christopher Olston, Kedar Dhamdhere, Vladislav Shkapenyuk, Todd C. Mowry, Bruce M. Maggs, Anthony Tomasic, Anastassia Ailamaki and Srinivasan Seshan. Their work appears in journals such as Proceedings of the VLDB Endowment, Infoscience (Ecole Polytechnique Fédérale de Lausanne) and Proceedings - International Conference on Data Engineering.
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.