Nikhil Bhatia
- Computer Networks and Communications top 10%
- Genetics
- Hematology
- Electrical and Electronic Engineering
- Information Systems
- Co-authors
- Manya GhobadiMichael SchapiraIshai MenacheNikolaj BjørnerAsaf ValadarskyMamta ManglaniM. R. LokeshwarJeffrey S. Vetter
- Topics
- Cloud Computing and Resource Management (3 papers)Software System Performance and Reliability (2 papers)Parallel Computing and Optimization Techniques (2 papers)
- Journals
- PubMedDSpace@MIT (Massachusetts Institute of Technology)JuSER (Forschungszentrum Jülich)
- Partner nations
- IndiaUnited StatesUnited Kingdom
In The Last Decade
Nikhil Bhatia
7 papers receiving 97 citations
Peers
Comparison fields: 5 of 25
- Computer Networks and Communications 63
- Genetics 35
- Hematology 32
- Electrical and Electronic Engineering 27
- Information Systems 15
Countries citing papers authored by Nikhil Bhatia
This map shows the geographic impact of Nikhil Bhatia'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 Nikhil Bhatia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nikhil Bhatia more than expected).
Fields of papers citing papers by Nikhil Bhatia
This network shows the impact of papers produced by Nikhil Bhatia. 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 Nikhil Bhatia. The network helps show where Nikhil Bhatia may publish in the future.
Co-authorship network of co-authors of Nikhil Bhatia
This figure shows the co-authorship network connecting the top 25 collaborators of Nikhil Bhatia. A scholar is included among the top collaborators of Nikhil Bhatia 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 Nikhil Bhatia. Nikhil Bhatia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 58 | |
| 3 | Sinus of valsalva aneurysm. | 1 |
| 4 | 4 | |
| 5 | A Pattern-Based Approach to Automated Application Performance Analysis | 1 |
| 6 | Capturing Petascale Application Characteristics with the Sequoia Toolkit. | 5 |
| 7 | 'NESTROFT'--an effective screening test for beta thalassemia trait. | 35 |
About Nikhil Bhatia
Nikhil Bhatia is a scholar working on Hardware and Architecture, Computer Networks and Communications and Information Systems, having authored 7 papers that have together received 105 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (3 papers), Software System Performance and Reliability (2 papers) and Parallel Computing and Optimization Techniques (2 papers). The work is most often cited by research in Genetics (35 citations), Hematology (32 citations) and Computer Networks and Communications (63 citations). Nikhil Bhatia has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Manya Ghobadi, Michael Schapira, Ishai Menache, Nikolaj Bjørner, Asaf Valadarsky, Mamta Manglani, M. R. Lokeshwar, Jeffrey S. Vetter, Sadaf R. Alam and Philip C. Roth. Their work appears in journals such as PubMed, DSpace@MIT (Massachusetts Institute of Technology) and JuSER (Forschungszentrum Jülich).
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.