Asit Dan

2.7k citations
43 papers · 1.6k indexed · h-index 19

Impact in

Papers in

Asit Dan

42 papers receiving 1.4k citations

Peers

Asit Dan
Comparison fields: 5 of 53
  • Computer Networks and Communications 1.3k
  • Hardware and Architecture 191
  • Management Information Systems 210
  • Information Systems 416
  • Computer Vision and Pattern Recognition 189
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Citations per year

Countries citing papers authored by Asit Dan

Since Specialization
Citations

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

Fields of papers citing papers by Asit Dan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Asit Dan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Asit Dan Line = papers co-authored together Asit Dan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996282
2 1990250
3 2004117
4 1996107
5 199588
6 199778
7 200364
8 199556
9 199748
10 200745
11 200642
12 199241
13
The Effect of Skewed Data Access on Buffer Hits and Data Contention an a Data Sharing Environment
199037
14 199534
15
Multimedia servers: applications, environments, and design
200029
16 200825
17 199222
18 199122
19 200420
20 199216

About Asit Dan

Asit Dan is a scholar working on Computer Networks and Communications, Hardware and Architecture, Information Systems, Management Information Systems and Computer Vision and Pattern Recognition, having authored 43 papers that have together received 1.6k indexed citations. Recurring topics across this work include Distributed systems and fault tolerance (13 papers), Peer-to-Peer Network Technologies (13 papers), Advanced Data Storage Technologies (13 papers), Service-Oriented Architecture and Web Services (12 papers), Multimedia Communication and Technology (10 papers), Distributed and Parallel Computing Systems (8 papers), Parallel Computing and Optimization Techniques (8 papers) and Cloud Computing and Resource Management (7 papers). The work is most often cited by research in Computer Networks and Communications (1.3k citations), Hardware and Architecture (191 citations), Management Information Systems (210 citations), Information Systems (416 citations) and Computer Vision and Pattern Recognition (189 citations). Asit Dan has collaborated with scholars based in United States, Netherlands and Australia. Frequent co-authors include Dinkar Sitaram, Don Towsley, Perwez Shahabuddin, Heiko Ludwig, Philip S. Yu, Robert D. Kearney, D.M. Dias, Robert D. Johnson, Renu Tewari and Harrick M. Vin. Their work appears in journals such as ACM SIGMETRICS Performance Evaluation Review, Multimedia Systems, Multimedia Tools and Applications, ACM SIGMOD Record and IEEE Internet Computing.

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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