Santanu Kumar Dash

805 citations
22 papers · 523 · h-index 7

Impact in

Papers in

Santanu Kumar Dash

18 papers receiving 504 citations

Peers

Santanu Kumar Dash
Comparison fields: 5 of 25
  • Software 195
  • Signal Processing 440
  • Computer Networks and Communications 377
  • Information Systems 245
  • Artificial Intelligence 145
Replace Clemens Kolbitsch with:
Clemens Kolbitsch United States
Lok Kwong Yan United States
Yoon‐Chan Jhi United States
Dhilung Kirat United States
Xinhui Han China
Davide Maiorca Italy
Hassen Saı̈di United States
Mingshen Sun Hong Kong
Mansour Ahmadi Italy
Silvio Cesare Australia
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Citations per field
00.5×11.5×
Clemens Kolbitsch · 1×
Citations per year

Countries citing papers authored by Santanu Kumar Dash

Since Specialization
Citations

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

Fields of papers citing papers by Santanu Kumar Dash

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Santanu Kumar Dash, 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 Santanu Kumar Dash Line = papers co-authored together Santanu Kumar Dash links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017144
2 2016118
3
Transcend: Detecting Concept Drift in Malware Classification Models
201794
4 201767
5 201621
6 202021
7 201818
8 20206
9 20185
10 20134
11 20094
12 20104
13 20204
14 20233
15 20213
16 20203
17 20232
18 20082
19 20240
20 20240

About Santanu Kumar Dash

Santanu Kumar Dash is a scholar working on Computer Networks and Communications, Signal Processing, Information Systems, Software and Artificial Intelligence, having authored 22 papers that have together received 523 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (12 papers), Software Engineering Research (8 papers), Software Testing and Debugging Techniques (7 papers), Network Security and Intrusion Detection (6 papers), Parallel Computing and Optimization Techniques (4 papers), Advanced Data Storage Technologies (3 papers), Software System Performance and Reliability (2 papers) and Embedded Systems Design Techniques (2 papers). The work is most often cited by research in Software (195 citations), Signal Processing (440 citations), Computer Networks and Communications (377 citations), Information Systems (245 citations) and Artificial Intelligence (145 citations). Santanu Kumar Dash has collaborated with scholars based in United Kingdom, Spain and United States. Frequent co-authors include Lorenzo Cavallaro, Guillermo Suárez‐Tangil, Johannes Kinder, Mansour Ahmadi, Giorgio Giacinto, Kimberly Tam, Earl T. Barr, Zhi Wang, Davide Papini and Ilia Nouretdinov. Their work appears in journals such as Journal of Systems and Software, Theoretical Computer Science, International Journal of Sustainable Engineering, IET Information Security and IET Computers & Digital Techniques.

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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