Rifat Shahriyar

1.1k citations
38 papers · 561 indexed · h-index 13

Rifat Shahriyar

36 papers receiving 531 citations

Peers

Rifat Shahriyar
Comparison fields: 5 of 78
  • Artificial Intelligence 293
  • Information Systems 177
  • Signal Processing 62
  • Applied Psychology 25
  • Management Information Systems 40
Replace Wilson Vicente Ruggiero with:
Wilson Vicente Ruggiero Brazil
Affan Yasin China
Jay Pujara United States
Michael Wolverton United States
Mohammad Maifi Hasan Khan United States
Mohammad Alia Jordan
Praveen Madiraju United States
Rafik Bouaziz Tunisia
Genny Tortora Italy
Clifton Phua Singapore
Rifat Shahriyar relative to Wilson Vicente Ruggiero Brazil Wilson Vicente Ruggiero's profile →
Citations per field
00.5×5.7×
Wilson Vicente Ruggiero · 1×
Citations per year

Countries citing papers authored by Rifat Shahriyar

Since Specialization
Citations

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

Fields of papers citing papers by Rifat Shahriyar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20253
2 20242
3 20241
4 20240
5 20242
6 20232
7 202312
8 20232
9 202312
10 20223
11 202285
12 202119
13 2021103
14 202121
15 20205
16 201912
17 20168
18
Finding All Covers of an Indeterminate String in O(n) Time on Average.
20095
19
Intelligent Mobile Health Monitoring System (IMHMS)
200934
20 20083

About Rifat Shahriyar

Rifat Shahriyar is a scholar working on Computer Science Applications, Health Informatics and Hardware and Architecture, having authored 38 papers that have together received 561 indexed citations. Recurring topics across this work include Topic Modeling (6 papers), Natural Language Processing Techniques (5 papers), Expert finding and Q&A systems (4 papers), Software Engineering Research (4 papers), Mobile Crowdsensing and Crowdsourcing (4 papers), Imbalanced Data Classification Techniques (3 papers), ICT in Developing Communities (2 papers) and Genomics and Phylogenetic Studies (2 papers). The work is most often cited by research in Artificial Intelligence (293 citations), Information Systems (177 citations) and Signal Processing (62 citations). Rifat Shahriyar has collaborated with scholars based in Bangladesh, United States and Australia. Frequent co-authors include Anindya Iqbal, Abhik Bhattacharjee, Partha Chakraborty, Tahmid Hasan, Amiangshu Bosu, M. Sohel Rahman, Wasi Uddin Ahmad, Yong‐Bin Kang, Yuan-Fang Li and Md. Saiful Islam.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026