I.T. Tenebe

66 papers receiving 1.1k citations

Peers

I.T. Tenebe
Comparison fields: 5 of 111
  • Geochemistry and Petrology 231
  • Water Science and Technology 510
  • Pollution 368
  • Industrial and Manufacturing Engineering 151
  • Radiological and Ultrasound Technology 76
Replace PraiseGod Chidozie Emenike with:
PraiseGod Chidozie Emenike Nigeria
Chidozie Charles Nnaji Nigeria
S. M. Didar-Ul Islam Bangladesh
Muhammad Izzuddin Syakir Ishak Malaysia
Gurdeep Singh India
Mohammad Ali Baghapour Iran
Rui Zuo China
Zia Ahmed Bangladesh
Sughosh Madhav India
Touraj Nasrabadi Iran
I.T. Tenebe relative to PraiseGod Chidozie Emenike Nigeria PraiseGod Chidozie Emenike's profile →
Citations per field
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PraiseGod Chidozie Emenike · 1×
Citations per year

Countries citing papers authored by I.T. Tenebe

Since Specialization
Citations

This map shows the geographic impact of I.T. Tenebe'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 I.T. Tenebe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites I.T. Tenebe more than expected).

Fields of papers citing papers by I.T. Tenebe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018131
2 2017102
3 202095
4 201852
5 201949
6 202347
7 201646
8 202242
9 201939
10 202138
11 201638
12 202334
13 201829
14 202028
15 201521
16 201920
17 201820
18 201618
19 202216
20 202415

About I.T. Tenebe

I.T. Tenebe is a scholar working on Water Science and Technology, Pollution, Environmental Engineering, Radiological and Ultrasound Technology and Artificial Intelligence, having authored 71 papers that have together received 1.1k indexed citations. Recurring topics across this work include Water Quality and Pollution Assessment (16 papers), Heavy metals in environment (14 papers), Radioactivity and Radon Measurements (9 papers), Child Nutrition and Water Access (8 papers), Geochemistry and Geologic Mapping (6 papers), Healthcare and Environmental Waste Management (6 papers), Urban Stormwater Management Solutions (5 papers) and Microplastics and Plastic Pollution (5 papers). The work is most often cited by research in Geochemistry and Petrology (231 citations), Water Science and Technology (510 citations), Pollution (368 citations), Industrial and Manufacturing Engineering (151 citations) and Radiological and Ultrasound Technology (76 citations). I.T. Tenebe has collaborated with scholars based in Nigeria, United States and South Africa. Frequent co-authors include PraiseGod Chidozie Emenike, David O. Omole, Chidozie Charles Nnaji, Peter Jarvis, Ben U. Ngene, Nsikak U. Benson, Nkpa Ogarekpe, Jordan Brizi Neris, Omowunmi H. Fred-Ahmadu and Olusegun O. Ayejuyo. Their work appears in journals such as Water, Environmental Monitoring and Assessment, Environmental Nanotechnology Monitoring & Management, Human and Ecological Risk Assessment An International Journal and Data in Brief.

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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