Muhammad Fahim Uddin

464 total citations
15 papers, 286 citations indexed

About

Muhammad Fahim Uddin is a scholar working on Computer Science Applications, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Muhammad Fahim Uddin has authored 15 papers receiving a total of 286 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Science Applications, 7 papers in Artificial Intelligence and 4 papers in Computer Networks and Communications. Recurrent topics in Muhammad Fahim Uddin's work include Online Learning and Analytics (8 papers), Machine Learning and Data Classification (3 papers) and Big Data Technologies and Applications (3 papers). Muhammad Fahim Uddin is often cited by papers focused on Online Learning and Analytics (8 papers), Machine Learning and Data Classification (3 papers) and Big Data Technologies and Applications (3 papers). Muhammad Fahim Uddin collaborates with scholars based in United States, United Arab Emirates and India. Muhammad Fahim Uddin's co-authors include Navarun Gupta, Jeongkyu Lee, Syed S. Rizvi and Abdul Razaque and has published in prestigious journals such as IEEE Access, Applied Sciences and Social Network Analysis and Mining.

In The Last Decade

Muhammad Fahim Uddin

13 papers receiving 265 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Muhammad Fahim Uddin United States 6 83 75 65 61 42 15 286
Marcia Kaufman 6 96 1.2× 90 1.2× 188 2.9× 127 2.1× 28 0.7× 7 365
Nidal A. Al-Dmour Jordan 10 84 1.0× 38 0.5× 118 1.8× 97 1.6× 11 0.3× 39 372
Óscar Marbán Spain 6 78 0.9× 88 1.2× 110 1.7× 62 1.0× 50 1.2× 13 310
Tatiana Levashova Russia 9 160 1.9× 65 0.9× 114 1.8× 69 1.1× 30 0.7× 75 349
Judith Hurwitz 7 103 1.2× 96 1.3× 198 3.0× 134 2.2× 29 0.7× 17 389
Marta Zorrilla Spain 13 135 1.6× 73 1.0× 177 2.7× 89 1.5× 47 1.1× 50 454
Pekka Pääkkönen Finland 11 77 0.9× 110 1.5× 143 2.2× 180 3.0× 88 2.1× 34 439
Kalyan Moy Gupta United States 10 177 2.1× 53 0.7× 71 1.1× 32 0.5× 32 0.8× 31 338
Sonali Vyas India 10 77 0.9× 53 0.7× 115 1.8× 62 1.0× 20 0.5× 41 285

Countries citing papers authored by Muhammad Fahim Uddin

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Fahim Uddin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Muhammad Fahim Uddin. 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 Muhammad Fahim Uddin. The network helps show where Muhammad Fahim Uddin may publish in the future.

Co-authorship network of co-authors of Muhammad Fahim Uddin

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

All Works

15 of 15 papers shown
1.
Uddin, Muhammad Fahim, et al.. (2022). HemiPhysioData - A SmartWatch App and Methodolgy to collect sensor data of Upper Limbs. 210–215. 1 indexed citations
2.
3.
Uddin, Muhammad Fahim. (2019). Addressing Accuracy Paradox Using Enhanched Weighted Performance Metric in Machine Learning. 319–324. 26 indexed citations
4.
Uddin, Muhammad Fahim, Syed S. Rizvi, & Abdul Razaque. (2018). Proposing Logical Table Constructs for Enhanced Machine Learning Process. IEEE Access. 6. 47751–47769. 3 indexed citations
5.
Uddin, Muhammad Fahim, et al.. (2018). Proposing Enhanced Feature Engineering and a Selection Model for Machine Learning Processes. Applied Sciences. 8(4). 646–646. 42 indexed citations
6.
Uddin, Muhammad Fahim & Jeongkyu Lee. (2017). Proposing stochastic probability-based math model and algorithms utilizing social networking and academic data for good fit students prediction. Social Network Analysis and Mining. 7(1). 14 indexed citations
7.
Uddin, Muhammad Fahim. (2016). Noise removal and structured data detection to improve search for personality features. 1349–1355. 2 indexed citations
8.
Uddin, Muhammad Fahim, et al.. (2016). Utilizing Big Data Analytics to Improve Education. University of Bridgeport ScholarWorks (University of Bridgeport). 9 indexed citations
9.
Uddin, Muhammad Fahim & Jeongkyu Lee. (2016). Predicting good fit students by correlating relevant personality traits with academic/career data. 3. 968–975. 4 indexed citations
10.
Uddin, Muhammad Fahim & Jeongkyu Lee. (2016). Utilizing Relevant Academic and Personality Features from Big Unstructured Data to Identify Good and Bad Fit Students. Procedia Computer Science. 95. 383–391. 6 indexed citations
11.
Uddin, Muhammad Fahim. (2016). Noise Removal and Structured Data Detection to improve search for personality features. 3. 1349–1355. 3 indexed citations
12.
Uddin, Muhammad Fahim & Jeongkyu Lee. (2016). We Are What We Generate - Understanding Ourselves Through Our Data. Procedia Computer Science. 95. 335–344. 1 indexed citations
13.
Uddin, Muhammad Fahim. (2016). A framework to identify educational relevance in social networking posts. 1191512548. 1–8. 2 indexed citations
14.
Uddin, Muhammad Fahim, et al.. (2016). Recommender System Framework for Academic Choices: Personality Based Recommendation Engine (PBRE). 476–483. 5 indexed citations
15.
Uddin, Muhammad Fahim, et al.. (2014). Seven V's of Big Data understanding Big Data to extract value. 1–5. 168 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.

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