Thabo Semong

1.3k citations
21 papers · 785 · 1 hit paper · h-index 8

Impact in

Papers in

Thabo Semong

20 papers receiving 763 citations

Thabo Semong's Hit Papers

A survey on missing data in machine learning 2021 · 592 citations
5920+1+3Years since publication100200300400500

Peers

Thabo Semong
Comparison fields: 5 of 143
  • Computational Mathematics 16
  • Health Informatics 11
  • Health Information Management 35
  • Computer Networks and Communications 164
  • Artificial Intelligence 235
Replace Thabiso Maupong with:
Thabiso Maupong Botswana
Banyatsang Mphago Botswana
Oteng Tabona Botswana
Roberto Corizzo United States
David Salinas United States
André Luis Debiaso Rossi Brazil
Rasha M. Abd El-Aziz Saudi Arabia
Ahmed I. Taloba Saudi Arabia
Ignacio Molina Spain
Thabo Semong relative to Thabiso Maupong Botswana Thabiso Maupong's profile →
Citations per field
00.5×2×4×5.3×
Thabiso Maupong · 1×
Citations per year

Countries citing papers authored by Thabo Semong

Since Specialization
Citations

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

Fields of papers citing papers by Thabo Semong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Thabo Semong, 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 Thabo Semong Line = papers co-authored together Thabo Semong links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A survey on missing data in machine learning
Hit paper breakdown →
2021592
2 202053
3 201952
4 201717
5 202116
6 201911
7 201910
8 20207
9 20184
10 20204
11 20094
12 20204
13 20232
14 20202
15 20222
16 20191
17 20241
18 20201
19 20181
20 20221

About Thabo Semong

Thabo Semong is a scholar working on Computer Networks and Communications, Artificial Intelligence, Information Systems, Electrical and Electronic Engineering and Signal Processing, having authored 21 papers that have together received 785 indexed citations. Recurring topics across this work include Software-Defined Networks and 5G (7 papers), IoT and Edge/Fog Computing (5 papers), Caching and Content Delivery (5 papers), Advanced Malware Detection Techniques (4 papers), Network Security and Intrusion Detection (3 papers), Energy Efficient Wireless Sensor Networks (3 papers), Privacy-Preserving Technologies in Data (3 papers) and Digital and Cyber Forensics (2 papers). The work is most often cited by research in Computational Mathematics (16 citations), Health Informatics (11 citations), Health Information Management (35 citations), Computer Networks and Communications (164 citations) and Artificial Intelligence (235 citations). Thabo Semong has collaborated with scholars based in Botswana, China and United Kingdom. Frequent co-authors include Thabiso Maupong, Oteng Tabona, Banyatsang Mphago, Dimane Mpoeleng, Kun Xie, Stephen Anokye, Shiming He, Lele Wang, Adamu Murtala Zungeru and Huibin Zhou. Their work appears in journals such as Electronics, IEEE Access, Journal Of Big Data, IEEE Transactions on Cybernetics and Scientific African.

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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