Rajibul Huq

753 citations
20 papers · 555 indexed · h-index 12
Topics
Robotic Path Planning Algorithms (7 papers)Stroke Rehabilitation and Recovery (6 papers)Acute Ischemic Stroke Management (4 papers)
Journals
SHILAP Revista de lepidopterologíaApplied Soft ComputingIEEE Transactions on Robotics

In The Last Decade

Rajibul Huq

20 papers receiving 534 citations

Peers

Rajibul Huq
Comparison fields: 5 of 72
  • Social Psychology 143
  • Computer Vision and Pattern Recognition 133
  • Rehabilitation 123
  • Artificial Intelligence 109
  • Demography 97
Replace Noriaki Kuwahara with:
Noriaki Kuwahara Japan
Ester Martínez-Martín Spain
Juan Fasola United States
José María Plaza Spain
Y. Higashi Japan
Pablo Bustos Spain
Gazihan Alankuş United States
Emmanuel Senft United Kingdom
Birgit Graf Germany
Wing-Yue Geoffrey Louie United States
Rajibul Huq relative to Noriaki Kuwahara Japan Noriaki Kuwahara's profile →
Citations per field
00.5×2.7×
Noriaki Kuwahara · 1×
Citations per year

Countries citing papers authored by Rajibul Huq

Since Specialization
Citations

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

Fields of papers citing papers by Rajibul Huq

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rajibul Huq

This figure shows the co-authorship network connecting the top 25 collaborators of Rajibul Huq. A scholar is included among the top collaborators of Rajibul Huq 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 Rajibul Huq. Rajibul Huq 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
1 129
2 23
3 65
4 4
5 32
6 49
7 12
8 59
9 9
10 32
11 7
12 13
13 4
14 37
15 18
16 1
17 1
18 57
19 2
20 1

About Rajibul Huq

Rajibul Huq is a scholar working on Rehabilitation, Occupational Therapy and Computer Vision and Pattern Recognition, having authored 20 papers that have together received 555 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (7 papers), Stroke Rehabilitation and Recovery (6 papers) and Acute Ischemic Stroke Management (4 papers). The work is most often cited by research in Rehabilitation (123 citations), Human-Computer Interaction (50 citations) and Demography (97 citations). Rajibul Huq has collaborated with scholars based in Canada, United Kingdom and Japan. Frequent co-authors include Alex Mihailidis, Rosalie H. Wang, Momotaz Begum, George K. I. Mann, Raymond G. Gosine, Jesse Hoey, Dylan F. Glas, Takayuki Kanda, Satoru Satake and Norihiro Hagita. Their work appears in journals such as SHILAP Revista de lepidopterología, Applied Soft Computing and IEEE Transactions on Robotics.

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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