Dinkar Sitaram
- Computer Networks and Communications top 1%
- Sociology and Political Science top 5%
- Computer Vision and Pattern Recognition top 5%
- Electrical and Electronic Engineering
- Signal Processing top 5%
- Co-authors
- Asit DanPerwez ShahabuddinA. DanRenu TewariHarrick M. VinDon TowsleyRajat MukherjeeD.M. Dias
- Topics
- Cloud Computing and Resource Management (23 papers)Peer-to-Peer Network Technologies (19 papers)Multimedia Communication and Technology (17 papers)
- Cited by
- Computer Networks and CommunicationsComputer Vision and Pattern RecognitionSignal Processing
- Journals
- SHILAP Revista de lepidopterologíaPattern RecognitionACM SIGMOD Record
- Partner nations
- IndiaUnited StatesChina
In The Last Decade
Dinkar Sitaram
75 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 69
- Computer Networks and Communications 1.3k
- Sociology and Political Science 400
- Computer Vision and Pattern Recognition 362
- Electrical and Electronic Engineering 190
- Signal Processing 135
Countries citing papers authored by Dinkar Sitaram
This map shows the geographic impact of Dinkar Sitaram'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 Dinkar Sitaram with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dinkar Sitaram more than expected).
Fields of papers citing papers by Dinkar Sitaram
This network shows the impact of papers produced by Dinkar Sitaram. 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 Dinkar Sitaram. The network helps show where Dinkar Sitaram may publish in the future.
Co-authorship network of co-authors of Dinkar Sitaram
This figure shows the co-authorship network connecting the top 25 collaborators of Dinkar Sitaram. A scholar is included among the top collaborators of Dinkar Sitaram 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 Dinkar Sitaram. Dinkar Sitaram 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 | 0 | |
| 3 | 2 | |
| 4 | 8 | |
| 5 | Contrasting Availability-Aware Energy-Optimized VM Scheduling Algorithms | 1 |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 7 | |
| 10 | 15 | |
| 11 | 5 | |
| 12 | 3 | |
| 13 | 2 | |
| 14 | 4 | |
| 15 | 1 | |
| 16 | 4 | |
| 17 | Multimedia servers: applications, environments, and design | 29 |
| 18 | 8 | |
| 19 | 48 | |
| 20 | 56 |
About Dinkar Sitaram
Dinkar Sitaram is a scholar working on Computer Networks and Communications, Signal Processing and Information Systems, having authored 77 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (23 papers), Peer-to-Peer Network Technologies (19 papers) and Multimedia Communication and Technology (17 papers). The work is most often cited by research in Computer Networks and Communications (1.3k citations), Computer Vision and Pattern Recognition (362 citations) and Signal Processing (135 citations). Dinkar Sitaram has collaborated with scholars based in India, United States and China. Frequent co-authors include Asit Dan, Perwez Shahabuddin, A. Dan, Renu Tewari, Harrick M. Vin, Don Towsley, Rajat Mukherjee, D.M. Dias, William H. Tetzlaff and Kevin C. Almeroth. Their work appears in journals such as SHILAP Revista de lepidopterología, Pattern Recognition and ACM SIGMOD Record.
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.