Emmanuel Okafor

920 total citations
37 papers, 531 citations indexed

About

Emmanuel Okafor is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Emmanuel Okafor has authored 37 papers receiving a total of 531 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 6 papers in Electrical and Electronic Engineering. Recurrent topics in Emmanuel Okafor's work include Advanced Image and Video Retrieval Techniques (5 papers), Smart Agriculture and AI (4 papers) and Machine Learning in Materials Science (4 papers). Emmanuel Okafor is often cited by papers focused on Advanced Image and Video Retrieval Techniques (5 papers), Smart Agriculture and AI (4 papers) and Machine Learning in Materials Science (4 papers). Emmanuel Okafor collaborates with scholars based in Nigeria, Saudi Arabia and Netherlands. Emmanuel Okafor's co-authors include Marco Wiering, Lambert Schomaker, Olarik Surinta, David O. Obada, Akinlolu Akande, Aliyu D. Usman, Aniekan Magnus Ukpong, Sheng He, David Dodoo‐Arhin and Syam Kumar R and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Pattern Recognition.

In The Last Decade

Emmanuel Okafor

33 papers receiving 510 citations

Peers

Emmanuel Okafor
Comparison fields: 5 of 118
  • Computer Vision and Pattern Recognition 108
  • Artificial Intelligence 101
  • Plant Science 100
  • Electrical and Electronic Engineering 76
  • Materials Chemistry 71
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Saulo Martiello Mastelini Brazil
Md. Saiful Islam Bangladesh
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Citations per field, relative to Emmanuel Okafor
Emmanuel Okafor · 1×
Citations per year, relative to Emmanuel Okafor
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Countries citing papers authored by Emmanuel Okafor

Since Specialization
Citations

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

Fields of papers citing papers by Emmanuel Okafor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emmanuel Okafor

This figure shows the co-authorship network connecting the top 25 collaborators of Emmanuel Okafor. A scholar is included among the top collaborators of Emmanuel Okafor 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 Emmanuel Okafor. Emmanuel Okafor 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 0
2 18
3 0
4 2
5 4
6 1
7 5
8 1
9 14
10 19
11 16
12 7
13 7
14 3
15 53
16 11
17 8
18 82
19 21
20 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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