Aritran Piplai

536 citations
21 papers · 266 indexed · h-index 9
Topics
Network Security and Intrusion Detection (7 papers)Topic Modeling (6 papers)Advanced Malware Detection Techniques (6 papers)
Partner nations
United StatesChina

In The Last Decade

Aritran Piplai

18 papers receiving 261 citations

Peers

Aritran Piplai
Comparison fields: 5 of 39
  • Artificial Intelligence 137
  • Information Systems 121
  • Computer Networks and Communications 100
  • Signal Processing 58
  • Management Science and Operations Research 52
Replace Irfan‐Ullah Awan with:
Irfan‐Ullah Awan United Kingdom
Carlos Maziero Brazil
Gopinath Ganapathy India
Kyumars Sheykh Esmaili Singapore
Evan A. Sultanik United States
Enrico Gallinucci Italy
Abbas Ghaemi Bafghi Iran
Marco Caselli Germany
Ahmad Ghazal United States
Aritran Piplai relative to Irfan‐Ullah Awan United Kingdom Irfan‐Ullah Awan's profile →
Citations per field
00.5×3.5×
Irfan‐Ullah Awan · 1×
Citations per year

Countries citing papers authored by Aritran Piplai

Since Specialization
Citations

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

Fields of papers citing papers by Aritran Piplai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aritran Piplai

This figure shows the co-authorship network connecting the top 25 collaborators of Aritran Piplai. A scholar is included among the top collaborators of Aritran Piplai 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 Aritran Piplai. Aritran Piplai 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
#WorkIndexed citations
1 0
2 0
3 0
4 1
5 1
6 1
7 3
8 2
9 18
10 7
11 14
12 10
13 8
14 5
15 18
16 15
17 58
18 33
19 19
20 51

About Aritran Piplai

Aritran Piplai is a scholar working on Signal Processing, Artificial Intelligence and Information Systems, having authored 21 papers that have together received 266 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (7 papers), Topic Modeling (6 papers) and Advanced Malware Detection Techniques (6 papers). The work is most often cited by research in Signal Processing (58 citations), Information Systems (121 citations) and Computer Networks and Communications (100 citations). Aritran Piplai has collaborated with scholars based in United States and China. Frequent co-authors include Anupam Joshi, Sudip Mittal, Richard Zak, Tim Finin, Sai Sree Laya Chukkapalli, Maanak Gupta, Sandeep Nair Narayanan, Mahmoud Abdelsalam, Manas Gaur and Karuna Pande Joshi. Their work appears in journals such as IEEE Access, IEEE Internet Computing and Frontiers in Big Data.

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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