Kawther Saeedi

608 citations
28 papers · 338 indexed · h-index 11
Topics
Blockchain Technology Applications and Security (8 papers)Sentiment Analysis and Opinion Mining (3 papers)Business Process Modeling and Analysis (3 papers)

In The Last Decade

Kawther Saeedi

26 papers receiving 324 citations

Peers

Kawther Saeedi
Comparison fields: 5 of 77
  • Artificial Intelligence 127
  • Information Systems 124
  • Radiology, Nuclear Medicine and Imaging 66
  • Management Information Systems 58
  • Sociology and Political Science 27
Replace Farrukh Saleem with:
Farrukh Saleem Saudi Arabia
Ashraf Jaradat Kuwait
Naoufel Kraïem Tunisia
S. Parthasarathy India
Hemant Palivela India
Ronal Watrianthos Indonesia
Ignacio Sanchez Italy
Shouki A. Ebad Saudi Arabia
Iskandar Ishak Malaysia
Asma Khatoon Pakistan
Kawther Saeedi relative to Farrukh Saleem Saudi Arabia Farrukh Saleem's profile →
Citations per field
00.5×1.5×2.1×
Farrukh Saleem · 1×
Citations per year

Countries citing papers authored by Kawther Saeedi

Since Specialization
Citations

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

Fields of papers citing papers by Kawther Saeedi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kawther Saeedi

This figure shows the co-authorship network connecting the top 25 collaborators of Kawther Saeedi. A scholar is included among the top collaborators of Kawther Saeedi 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 Kawther Saeedi. Kawther Saeedi 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 3
3 3
4 1
5 0
6 20
7 8
8 14
9 25
10 20
11 15
12 73
13 7
14 6
15 11
16 21
17 3
18 4
19 8
20 6

About Kawther Saeedi

Kawther Saeedi is a scholar working on Information Systems, Management Information Systems and Computer Networks and Communications, having authored 28 papers that have together received 338 indexed citations. Recurring topics across this work include Blockchain Technology Applications and Security (8 papers), Sentiment Analysis and Opinion Mining (3 papers) and Business Process Modeling and Analysis (3 papers). The work is most often cited by research in Health Informatics (13 citations), Management Information Systems (58 citations) and Information Systems (124 citations). Kawther Saeedi has collaborated with scholars based in Saudi Arabia, United Kingdom and Singapore. Frequent co-authors include Liping Zhao, Anna Visvizi, Hanan S. Alghamdi, Salma Elhag, Pedro Sampaio, Muhammad Ahtisham Aslam, Amir Hussain, Erik Cambria, Mandar Gogate and Kia Dashtipour. Their work appears in journals such as IEEE Access, Sustainability and Applied Soft Computing.

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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