F. Kareem

1.6k total citations
2 papers, 4 citations indexed

About

F. Kareem is a scholar working on Artificial Intelligence, Immunology and Infectious Diseases. According to data from OpenAlex, F. Kareem has authored 2 papers receiving a total of 4 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Artificial Intelligence, 1 paper in Immunology and 0 papers in Infectious Diseases. Recurrent topics in F. Kareem's work include Sentiment Analysis and Opinion Mining (1 paper), Advanced Text Analysis Techniques (1 paper) and Biomarkers in Disease Mechanisms (1 paper). F. Kareem is often cited by papers focused on Sentiment Analysis and Opinion Mining (1 paper), Advanced Text Analysis Techniques (1 paper) and Biomarkers in Disease Mechanisms (1 paper). F. Kareem collaborates with scholars based in Brazil and Iraq. F. Kareem's co-authors include Ahmed J. Obaid, Zeba Siddiqi, Ritu Karoli and Amit Kumar Tiwari and has published in prestigious journals such as International Journal of Information Technology and PubMed.

In The Last Decade

F. Kareem

2 papers receiving 4 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
F. Kareem Brazil	2	2	1	1	1	1	2	4
Kristine Jubele Latvia	2	2 1.0×					2	2
Kaspars Kupics Latvia	2	2 1.0×					2	2
Ricardo Alkmim Teixeira Brazil	2	2 1.0×					3	2
Sarah Cornell United States	2	2 1.0×					3	2
L Grib Moldova	2	2 1.0×					3	2
Chinonso Ndukauba United States	2	2 1.0×					2	3
Ghada Kazamel Egypt	1	2 1.0×			1 1.0×		2	2
Priya Palimkar India	1	2 1.0×					2	2
K. Mei	2	2 1.0×					2	2
M Mishriky Egypt	1	2 1.0×					2	2

Countries citing papers authored by F. Kareem

Since Specialization

Citations

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

Fields of papers citing papers by F. Kareem

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of F. Kareem

This figure shows the co-authorship network connecting the top 25 collaborators of F. Kareem. A scholar is included among the top collaborators of F. Kareem 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 F. Kareem. F. Kareem is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

2 of 2 papers shown

1.

Kareem, F. & Ahmed J. Obaid. (2025). STFS_TF-IDF _HDSM: semantic and textual feature scaling using TF-IDF based sentiment analysis with Hybrid Deep Sequential Model. International Journal of Information Technology. 17(9). 5751–5757. 1 indexed citations

2.

Siddiqi, Zeba, et al.. (2020). Coronary Artery Calcium Score as a Predictor of Cardiovascular Risk in Asymptomatic Patients of Type 2 Diabetes.. PubMed. 68(2). 23–26. 3 indexed citations

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