Manish Marwah
- Computer Networks and Communications top 1%
- Electrical and Electronic Engineering top 5%
- Information Systems top 0.5%
- Building and Construction top 2%
- Artificial Intelligence top 5%
- Topics
- Cloud Computing and Resource Management (17 papers)Green IT and Sustainability (13 papers)Time Series Analysis and Forecasting (13 papers)
- Partner nations
- United StatesGermanyBrazil
In The Last Decade
Manish Marwah
62 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 98
- Computer Networks and Communications 997
- Electrical and Electronic Engineering 958
- Information Systems 913
- Building and Construction 296
- Artificial Intelligence 295
Countries citing papers authored by Manish Marwah
This map shows the geographic impact of Manish Marwah'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 Manish Marwah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manish Marwah more than expected).
Fields of papers citing papers by Manish Marwah
This network shows the impact of papers produced by Manish Marwah. 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 Manish Marwah. The network helps show where Manish Marwah may publish in the future.
Co-authorship network of co-authors of Manish Marwah
This figure shows the co-authorship network connecting the top 25 collaborators of Manish Marwah. A scholar is included among the top collaborators of Manish Marwah 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 Manish Marwah. Manish Marwah is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 3 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 48 | |
| 6 | 49 | |
| 7 | 2 | |
| 8 | 5 | |
| 9 | 32 | |
| 10 | Unsupervised Disaggregation of Low Frequency Power Measurementsbreakdown → | 480 |
| 11 | 15 | |
| 12 | Data Mining for Modeling Chiller Systems in Data Centers | 8 |
| 13 | 9 | |
| 14 | 42 | |
| 15 | 12 | |
| 16 | 20 | |
| 17 | 2 | |
| 18 | Delivering energy proportionality with non energy-proportional systems: optimizing the ensemble | 118 |
| 19 | 11 | |
| 20 | 28 |
About Manish Marwah
Manish Marwah is a scholar working on Signal Processing, Computer Networks and Communications and Hardware and Architecture, having authored 65 papers that have together received 2.2k indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (17 papers), Green IT and Sustainability (13 papers) and Time Series Analysis and Forecasting (13 papers). The work is most often cited by research in Computer Networks and Communications (997 citations), Information Systems (913 citations) and Hardware and Architecture (234 citations). Manish Marwah has collaborated with scholars based in United States, Germany and Brazil. Frequent co-authors include Cullen Bash, Zhikui Wang, Geoff Lyon, Martin Arlitt, Daniel Gmach, Jiawei Han, Hyungsul Kim, Yuan Chen, Naren Ramakrishnan and Martin Arlitt. Their work appears in journals such as Computer, Computer Graphics Forum and Lecture notes in computer science.
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.