Oteng Tabona

1.1k citations
6 papers · 568 · 1 hit paper · h-index 3

Impact in

Papers in

    • Digital and Cyber Forensics 3
    • Cloud Data Security Solutions 1
    • Cloud Computing and Resource Management 1
    • Privacy-Preserving Technologies in Data 3
    • Imbalanced Data Classification Techniques 1

Oteng Tabona

6 papers receiving 556 citations

Oteng Tabona's Hit Papers

A survey on missing data in machine learning 2021 · 557 citations
5570+1+3Years since publication100200300400500

Peers

Oteng Tabona
Comparison fields: 5 of 136
  • Health Information Management 31
  • Health Informatics 8
  • Artificial Intelligence 176
  • Computational Mathematics 3
  • Statistics and Probability 33
Replace Banyatsang Mphago with:
Banyatsang Mphago Botswana
Thabiso Maupong Botswana
Janek Thomas Germany
Thabo Semong Botswana
Rasha M. Abd El-Aziz Saudi Arabia
Martin Binder Germany
Ignacio Molina United States
Fei Tang China
Zongwen Fan China
Miriam Seoane Santos Portugal
Oteng Tabona relative to Banyatsang Mphago Botswana Banyatsang Mphago's profile →
Citations per field
00.5×1.5×
Banyatsang Mphago · 1×
Citations per year

Countries citing papers authored by Oteng Tabona

Since Specialization
Citations

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

Fields of papers citing papers by Oteng Tabona

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 6 scholars most cited alongside Oteng Tabona, 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 Oteng Tabona Line = papers co-authored together Oteng Tabona links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1
A survey on missing data in machine learning
Hit paper breakdown →
2021557
2 20166
3 20222
4 20231
5 20221
6 20221

About Oteng Tabona

Oteng Tabona is a scholar working on Information Systems, Artificial Intelligence, Signal Processing, Computer Networks and Communications and Political Science and International Relations, having authored 6 papers that have together received 568 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (3 papers), Digital and Cyber Forensics (3 papers), Advanced Malware Detection Techniques (2 papers), Imbalanced Data Classification Techniques (1 paper), Cloud Data Security Solutions (1 paper), Cloud Computing and Resource Management (1 paper), IoT and Edge/Fog Computing (1 paper) and Smart Grid Security and Resilience (1 paper). The work is most often cited by research in Health Information Management (31 citations), Health Informatics (8 citations), Artificial Intelligence (176 citations), Computational Mathematics (3 citations) and Statistics and Probability (33 citations). Oteng Tabona has collaborated with scholars based in Botswana, United Kingdom and United Arab Emirates. Frequent co-authors include Thabo Semong, Thabiso Maupong, Dimane Mpoeleng, Banyatsang Mphago, Andrew Blyth and Adamu Murtala Zungeru. Their work appears in journals such as Scientific African, Journal Of Big Data and International Journal of Electronic Security and Digital Forensics.

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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