Surendrabikram Thapa

905 citations
49 papers · 444 indexed · h-index 13
Topics
Topic Modeling (11 papers)Hate Speech and Cyberbullying Detection (9 papers)Natural Language Processing Techniques (9 papers)

In The Last Decade

Surendrabikram Thapa

40 papers receiving 425 citations

Peers

Surendrabikram Thapa
Comparison fields: 5 of 98
  • Artificial Intelligence 202
  • Information Systems 72
  • Health Informatics 49
  • Radiology, Nuclear Medicine and Imaging 42
  • Computer Vision and Pattern Recognition 38
Replace Belkacem Chikhaoui with:
Belkacem Chikhaoui Canada
Sayash Kapoor United States
Surabhi Adhikari India
Abdulqader M. Almars Saudi Arabia
Thanveer Shaik Australia
Timothy Oladunni United States
Muhammad Mujahid Saudi Arabia
Ángel Fernández-Leal Spain
Amal Al‐Rasheed Saudi Arabia
José Bobes-Bascarán Spain
Surendrabikram Thapa relative to Belkacem Chikhaoui Canada Belkacem Chikhaoui's profile →
Citations per field
00.5×1.5×2.3×
Belkacem Chikhaoui · 1×
Citations per year

Countries citing papers authored by Surendrabikram Thapa

Since Specialization
Citations

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

Fields of papers citing papers by Surendrabikram Thapa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Surendrabikram Thapa

This figure shows the co-authorship network connecting the top 25 collaborators of Surendrabikram Thapa. A scholar is included among the top collaborators of Surendrabikram Thapa 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 Surendrabikram Thapa. Surendrabikram Thapa 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 9
2 0
3 0
4 13
5 0
6 2
7 6
8 1
9 3
10 2
11 2
12 64
13 6
14 5
15 4
16 2
17 19
18 3
19 2
20 8

About Surendrabikram Thapa

Surendrabikram Thapa is a scholar working on Artificial Intelligence, Health Informatics and Applied Psychology, having authored 49 papers that have together received 444 indexed citations. Recurring topics across this work include Topic Modeling (11 papers), Hate Speech and Cyberbullying Detection (9 papers) and Natural Language Processing Techniques (9 papers). The work is most often cited by research in Health Informatics (49 citations), Artificial Intelligence (202 citations) and Health Information Management (21 citations). Surendrabikram Thapa has collaborated with scholars based in United States, Australia and India. Frequent co-authors include Surabhi Adhikari, Usman Naseem, Avinash Kumar Jha, Mukesh Prasad, Priyanka Singh, Gnana Bharathy, Huan Huo, Ankit Kumar, Deepak Kumar Jain and Akshansh Gupta. Their work appears in journals such as IEEE Access, Neurocomputing and Neural Networks.

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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