Kumar Abhishek

2.2k citations
82 papers · 1.2k indexed · 1 hit paper · h-index 18
Topics
Web Data Mining and Analysis (9 papers)Advanced Text Analysis Techniques (8 papers)Sentiment Analysis and Opinion Mining (7 papers)

In The Last Decade

Kumar Abhishek

71 papers receiving 1.1k citations

Hit Papers

Efficient pneumonia detection using Vision Transformers o...202420262025202410203040

Peers

Kumar Abhishek
Comparison fields: 5 of 120
  • Artificial Intelligence 488
  • Information Systems 258
  • Environmental Engineering 215
  • Computer Networks and Communications 199
  • Electrical and Electronic Engineering 199
Replace Marcello Trovati with:
Marcello Trovati United Kingdom
David Elizondo United Kingdom
Jun Feng China
Ladislav Hluchý Slovakia
Zeyar Aung United Arab Emirates
Roberto Corizzo United States
Sudan Jha India
Koji Zettsu Japan
Ralph Bergmann Germany
Nazri Mohd Nawi Malaysia
Kumar Abhishek relative to Marcello Trovati United Kingdom Marcello Trovati's profile →
Citations per field
00.5×2.8×
Marcello Trovati · 1×
Citations per year

Countries citing papers authored by Kumar Abhishek

Since Specialization
Citations

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

Fields of papers citing papers by Kumar Abhishek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kumar Abhishek

This figure shows the co-authorship network connecting the top 25 collaborators of Kumar Abhishek. A scholar is included among the top collaborators of Kumar Abhishek 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 Kumar Abhishek. Kumar Abhishek 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 1
2 0
3
Efficient pneumonia detection using Vision Transformers on chest X-raysbreakdown →
47
4 0
5 0
6 0
7 1
8 15
9 11
10 13
11 10
12 1
13 16
14 8
15 17
16 21
17
IOT Based Smart River Monitoring System
1
18 8
19 1
20 201

About Kumar Abhishek

Kumar Abhishek is a scholar working on Information Systems, Health Information Management and Artificial Intelligence, having authored 82 papers that have together received 1.2k indexed citations. Recurring topics across this work include Web Data Mining and Analysis (9 papers), Advanced Text Analysis Techniques (8 papers) and Sentiment Analysis and Opinion Mining (7 papers). The work is most often cited by research in Artificial Intelligence (488 citations), Environmental Engineering (215 citations) and Signal Processing (132 citations). Kumar Abhishek has collaborated with scholars based in India, United Kingdom and France. Frequent co-authors include Maheshwari Prasad Singh, Abhishek Anand, Muhammad Rukunuddin Ghalib, Ajay Kumar, Abhay Kumar, Rajeev Ranjan, Hiteshwar Kumar Azad, Achyut Shankar, Nadeem Akhtar and I. Sumaiya Thaseen. Their work appears in journals such as Scientific Reports, IEEE Access and Sensors.

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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