Daniel Masekela

20 papers receiving 501 citations

Peers

Daniel Masekela
Comparison fields: 5 of 52
  • Renewable Energy, Sustainability and the Environment 307
  • Water Science and Technology 67
  • Materials Chemistry 218
  • Electrical and Electronic Engineering 146
  • General Dentistry 3
Replace Gangqiang Wang with:
Gangqiang Wang China
Noor Ahmed Nahyoon China
Dhruba Chakrabortty India
Vasanthakumar Vasudevan India
Guowei Sun China
Mehdi Al Kausor India
Sin-Ling Chiam Malaysia
Adeel Ahmed China
Rajesh Kumar Polagani India
Mohammad Sina Mohtaram Iran
Daniel Masekela relative to Gangqiang Wang China Gangqiang Wang's profile →
Citations per field
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Citations per year

Countries citing papers authored by Daniel Masekela

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Masekela

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Daniel Masekela, 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 Daniel Masekela Line = papers co-authored together Daniel Masekela links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2022132
2 2022118
3 202254
4 202433
5 202233
6 202520
7 202518
8 202417
9 202414
10 202414
11 20249
12 20209
13 20248
14 20257
15 20226
16 20255
17 20255
18 20254
19 20252
20 20252

About Daniel Masekela

Daniel Masekela is a scholar working on Renewable Energy, Sustainability and the Environment, Materials Chemistry, Electrical and Electronic Engineering, Water Science and Technology and Biomedical Engineering, having authored 23 papers that have together received 510 indexed citations. Recurring topics across this work include Advanced Photocatalysis Techniques (15 papers), Gas Sensing Nanomaterials and Sensors (5 papers), MXene and MAX Phase Materials (4 papers), Copper-based nanomaterials and applications (4 papers), Nanomaterials for catalytic reactions (2 papers), Biosensors and Analytical Detection (2 papers), Adsorption and biosorption for pollutant removal (2 papers) and TiO2 Photocatalysis and Solar Cells (2 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (307 citations), Water Science and Technology (67 citations), Materials Chemistry (218 citations), Electrical and Electronic Engineering (146 citations) and General Dentistry (3 citations). Daniel Masekela has collaborated with scholars based in South Africa, Nigeria and United States. Frequent co-authors include Nonhlangabezo Mabuba, Tunde L. Yusuf, Nomso C. Hintsho‐Mbita, Bhekie B. Mamba, Benjamin O. Orimolade, Kwena D. Modibane, Bulelwa Ntsendwana, Seshibe Makgato, Edwin Makhado and Langelihle N. Dlamini. Their work appears in journals such as Journal of Water Process Engineering, Ceramics International, Journal of Alloys and Compounds, Journal of environmental chemical engineering and Journal of Polymers and the Environment.

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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