Udai Shanker

696 total citations
55 papers, 329 citations indexed

About

Udai Shanker is a scholar working on Computer Networks and Communications, Information Systems and Hardware and Architecture. According to data from OpenAlex, Udai Shanker has authored 55 papers receiving a total of 329 indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Computer Networks and Communications, 19 papers in Information Systems and 15 papers in Hardware and Architecture. Recurrent topics in Udai Shanker's work include Distributed systems and fault tolerance (34 papers), Distributed and Parallel Computing Systems (14 papers) and Real-Time Systems Scheduling (14 papers). Udai Shanker is often cited by papers focused on Distributed systems and fault tolerance (34 papers), Distributed and Parallel Computing Systems (14 papers) and Real-Time Systems Scheduling (14 papers). Udai Shanker collaborates with scholars based in India, Germany and United States. Udai Shanker's co-authors include Ajay Gupta, Anil K. Sarje, Manoj Misra, Pradeep Kumar Singh, Sanjay Kumar Gupta, Sanjay Kumar Soni, Mohammad Faiz, Ritesh Kumar Singh, P. K. Srivastava and Kamal Kant and has published in prestigious journals such as Ecological Informatics, Computer Science Review and Journal of King Saud University - Computer and Information Sciences.

In The Last Decade

Udai Shanker

45 papers receiving 273 citations

Peers

Udai Shanker
Comparison fields: 5 of 41
  • Computer Networks and Communications 248
  • Hardware and Architecture 117
  • Information Systems 89
  • Artificial Intelligence 51
  • Transportation 34
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Citations per field, relative to Udai Shanker
Udai Shanker · 1×
Citations per year, relative to Udai Shanker
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Countries citing papers authored by Udai Shanker

Since Specialization
Citations

This map shows the geographic impact of Udai Shanker'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 Udai Shanker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Udai Shanker more than expected).

Fields of papers citing papers by Udai Shanker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Udai Shanker. 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 Udai Shanker. The network helps show where Udai Shanker may publish in the future.

Co-authorship network of co-authors of Udai Shanker

This figure shows the co-authorship network connecting the top 25 collaborators of Udai Shanker. A scholar is included among the top collaborators of Udai Shanker 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 Udai Shanker. Udai Shanker is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 3
3 1
4 5
5 3
6 16
7 1
8 5
9 6
10
Replication Protocol Based on Dynamic Versioning of Data Object for Replicated DRTDBS
1
11 12
12 8
13 1
14 10
15 3
16 6
17
OCP: a distributed real time commit protocol
0
18 23
19
Priority assignment heuristic to cohorts executing in parallel
7
20
A New Commit Protocol for Distributed Real-Time Database Systems.
1

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.

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