Debabrata Dash

776 total citations
16 papers, 492 citations indexed

About

Debabrata Dash is a scholar working on Computer Networks and Communications, Information Systems and Signal Processing. According to data from OpenAlex, Debabrata Dash has authored 16 papers receiving a total of 492 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Networks and Communications, 7 papers in Information Systems and 7 papers in Signal Processing. Recurrent topics in Debabrata Dash's work include Advanced Database Systems and Queries (10 papers), Data Management and Algorithms (7 papers) and Cloud Computing and Resource Management (5 papers). Debabrata Dash is often cited by papers focused on Advanced Database Systems and Queries (10 papers), Data Management and Algorithms (7 papers) and Cloud Computing and Resource Management (5 papers). Debabrata Dash collaborates with scholars based in Switzerland, United States and Cyprus. Debabrata Dash's co-authors include Anastasia Ailamaki, Verena Kantere, Haowen Chan, Adrian Perrig, Neoklis Polyzotis, Grégory François, Jun Rao, Nimrod Megiddo, Guy M. Lohman and Stratos Papadomanolakis and has published in prestigious journals such as Communications of the ACM, IEEE Transactions on Knowledge and Data Engineering and ACM SIGCOMM Computer Communication Review.

In The Last Decade

Debabrata Dash

16 papers receiving 452 citations

Peers

Debabrata Dash
Comparison fields: 5 of 43
  • Computer Networks and Communications 359
  • Information Systems 239
  • Artificial Intelligence 170
  • Signal Processing 121
  • Management Science and Operations Research 49
Replace Abdelkader Hameurlain with:
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Abdelkader Hameurlain France View profile →
Citations per field, relative to Debabrata Dash
Debabrata Dash · 1×
Citations per year, relative to Debabrata Dash
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Countries citing papers authored by Debabrata Dash

Since Specialization
Citations

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

Fields of papers citing papers by Debabrata Dash

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Debabrata Dash

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

All Works

16 of 16 papers shown
# Work Indexed citations
1 63
2 10
3 73
4 63
5 14
6 1
7 6
8 10
9 44
10 58
11 10
12
Efficient Use of the Query Optimizer for Automated Database Design
15
13
Efficient use of the query optimizer for automated physical design
22
14 45
15 40
16 18

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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