Urmila Shrawankar

887 total citations
92 papers, 331 citations indexed

About

Urmila Shrawankar is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Urmila Shrawankar has authored 92 papers receiving a total of 331 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Computer Networks and Communications, 26 papers in Information Systems and 22 papers in Artificial Intelligence. Recurrent topics in Urmila Shrawankar's work include Cloud Computing and Resource Management (15 papers), Parallel Computing and Optimization Techniques (15 papers) and IoT and Edge/Fog Computing (14 papers). Urmila Shrawankar is often cited by papers focused on Cloud Computing and Resource Management (15 papers), Parallel Computing and Optimization Techniques (15 papers) and IoT and Edge/Fog Computing (14 papers). Urmila Shrawankar collaborates with scholars based in India and United States. Urmila Shrawankar's co-authors include V. M. Thakare, Rahul Neware, Chetan Dhule, Dhananjay Kalbande, Shruti Gedam, Latesh Malik, Mithilesh Kumar Chaube, Sandhya Arora, Santosh Kumar and Anjali Mahajan and has published in prestigious journals such as Computing, Cognitive Systems Research and Transactions on Emerging Telecommunications Technologies.

In The Last Decade

Urmila Shrawankar

79 papers receiving 300 citations

Peers

Urmila Shrawankar
Comparison fields: 5 of 66
  • Computer Networks and Communications 100
  • Artificial Intelligence 93
  • Computer Vision and Pattern Recognition 68
  • Information Systems 66
  • Human-Computer Interaction 51
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Citations per field, relative to Urmila Shrawankar
Urmila Shrawankar · 1×
Citations per year, relative to Urmila Shrawankar
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Countries citing papers authored by Urmila Shrawankar

Since Specialization
Citations

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

Fields of papers citing papers by Urmila Shrawankar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Urmila Shrawankar

This figure shows the co-authorship network connecting the top 25 collaborators of Urmila Shrawankar. A scholar is included among the top collaborators of Urmila Shrawankar 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 Urmila Shrawankar. Urmila Shrawankar 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 0
2 2
3 1
4 1
5 2
6 4
7 3
8 1
9 13
10
Energy Efficient Green Consolidator for Cloud Data Centers
2
11
Multimodal Interface for Deaf and Dumb Communication
2
12
Question systematization using templates
2
13
Construction of news headline from detailed news article
2
14
Listening deaf through tactile sign language
2
15 1
16
Context based Meaning Extraction for HCI using WSD algorithm: A review
3
17
Probabilistic language model for template messaging based on Bi-gram
1
18 1
19
Genetic Algorithm with Histogram Construction Technique.
1
20 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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