C. I. Ezeife

1.4k citations
48 papers · 714 · h-index 14

Impact in

    • Data Mining Algorithms and Applications
    • Recommender Systems and Techniques
    • Web Data Mining and Analysis
    • Data Management and Algorithms

Papers in

    • Data Mining Algorithms and Applications 21
    • Recommender Systems and Techniques 9
    • Intelligent Tutoring Systems and Adaptive Learning 5
    • Algorithms and Data Compression 4

C. I. Ezeife

43 papers receiving 619 citations

Peers

C. I. Ezeife
Comparison fields: 5 of 57
  • Information Systems 491
  • Signal Processing 186
  • Computer Networks and Communications 226
  • Computational Theory and Mathematics 143
  • Artificial Intelligence 268
Replace Mika Klemettinen with:
Mika Klemettinen Finland
Engelbert Mephu Nguifo France
Ting‐Yi Chang Taiwan
Sujith Ravi United States
Paolo Viappiani Switzerland
Yannis C. Stamatiou Greece
Rajshekhar Sunderraman United States
Igor V. Cadez United States
Cem Kaner United States
Sachio Hirokawa Japan
C. I. Ezeife relative to Mika Klemettinen Finland Mika Klemettinen's profile →
Citations per field
00.5×3.8×
Mika Klemettinen · 1×
Citations per year

Countries citing papers authored by C. I. Ezeife

Since Specialization
Citations

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

Fields of papers citing papers by C. I. Ezeife

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C. I. Ezeife. 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 C. I. Ezeife. The network helps show where C. I. Ezeife may publish in the future.

Co-authors

The 11 scholars most cited alongside C. I. Ezeife, 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 C. I. Ezeife Line = papers co-authored together C. I. Ezeife links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010241
2 200588
3 199537
4 199828
5 200927
6 200523
7 200921
8 201320
9 201319
10 201817
11 200115
12 200914
13 200714
14 200314
15 200813
16 200513
17 202112
18 20179
19 20088
20
Mining the Impact of Course Assignments on Student Performance.
20138

About C. I. Ezeife

C. I. Ezeife is a scholar working on Information Systems, Artificial Intelligence, Computer Networks and Communications, Computational Theory and Mathematics and Signal Processing, having authored 48 papers that have together received 714 indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (21 papers), Rough Sets and Fuzzy Logic (12 papers), Advanced Database Systems and Queries (11 papers), Data Management and Algorithms (9 papers), Recommender Systems and Techniques (9 papers), Intelligent Tutoring Systems and Adaptive Learning (5 papers), Educational Games and Gamification (4 papers) and Algorithms and Data Compression (4 papers). The work is most often cited by research in Information Systems (491 citations), Signal Processing (186 citations), Computer Networks and Communications (226 citations), Computational Theory and Mathematics (143 citations) and Artificial Intelligence (268 citations). C. I. Ezeife has collaborated with scholars based in Canada, United States and France. Frequent co-authors include Yi Lu, Ken Barker, Sabbir Ahmed, Yi Liu, Min Chen, Arunita Jaekel, Dragana Martinović, Jonathan C. Reed, Ken Barker and Dan Zhang. Their work appears in journals such as Data Mining and Knowledge Discovery, International Journal of Data Warehousing and Mining, Distributed and Parallel Databases, Journal Of Big Data and Data & Knowledge Engineering.

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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