Nahid Hossain

451 total citations
26 papers, 219 citations indexed

About

Nahid Hossain is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Nahid Hossain has authored 26 papers receiving a total of 219 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 5 papers in Information Systems and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Nahid Hossain's work include Natural Language Processing Techniques (8 papers), Topic Modeling (7 papers) and Text Readability and Simplification (6 papers). Nahid Hossain is often cited by papers focused on Natural Language Processing Techniques (8 papers), Topic Modeling (7 papers) and Text Readability and Simplification (6 papers). Nahid Hossain collaborates with scholars based in Bangladesh, United States and Australia. Nahid Hossain's co-authors include Md. Moshiur Rahman, Salekul Islam, Scott D. Stoller, R. Sekar, Mohammad Nurul Huda, Syed Masiur Rahman, Shaikh Abdur Razzak, Birhanu Eshete, Sadegh M. Milajerdi and V. N. Venkatakrishnan and has published in prestigious journals such as IEEE Access, Neural Computing and Applications and Engineering Applications of Artificial Intelligence.

In The Last Decade

Nahid Hossain

25 papers receiving 200 citations

Peers

Nahid Hossain
Comparison fields: 5 of 63
  • Artificial Intelligence 92
  • Computer Networks and Communications 67
  • Information Systems 66
  • Signal Processing 48
  • Computer Vision and Pattern Recognition 13
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Citations per field, relative to Nahid Hossain
Nahid Hossain · 1×
Citations per year, relative to Nahid Hossain
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Countries citing papers authored by Nahid Hossain

Since Specialization
Citations

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

Fields of papers citing papers by Nahid Hossain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nahid Hossain

This figure shows the co-authorship network connecting the top 25 collaborators of Nahid Hossain. A scholar is included among the top collaborators of Nahid Hossain 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 Nahid Hossain. Nahid Hossain 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
# Work Indexed citations
1 5
2 2
3 3
4 2
5 1
6 2
7 3
8 1
9 7
10 1
11 8
12 4
13 7
14 9
15 7
16 1
17
Dependence-Preserving Data Compaction for Scalable Forensic Analysis
40
18
{SLEUTH}: Real-time Attack Scenario Reconstruction from {COTS} Audit Data
31
19 26
20
MUNICIPAL SOLID WASTE MANAGEMENT OF TOYOHASHI CITY: AN ANALYSIS BY ENVIRONMENTAL KUZNETS CURVE
2

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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