U. Sunday Tim

1.3k total citations
44 papers, 942 citations indexed

About

U. Sunday Tim is a scholar working on Water Science and Technology, Environmental Chemistry and Soil Science. According to data from OpenAlex, U. Sunday Tim has authored 44 papers receiving a total of 942 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Water Science and Technology, 9 papers in Environmental Chemistry and 9 papers in Soil Science. Recurrent topics in U. Sunday Tim's work include Hydrology and Watershed Management Studies (12 papers), Soil and Water Nutrient Dynamics (9 papers) and Soil erosion and sediment transport (6 papers). U. Sunday Tim is often cited by papers focused on Hydrology and Watershed Management Studies (12 papers), Soil and Water Nutrient Dynamics (9 papers) and Soil erosion and sediment transport (6 papers). U. Sunday Tim collaborates with scholars based in United States, Canada and India. U. Sunday Tim's co-authors include Robert W. Jolly, Amruthur S. Ramamurthy, Saied Mostaghimi, Sugam Sharma, Shashi K. Gadia, Johnny Wong, V. O. Shanholtz, S. Mostaghimi, R. S. Kanwar and Victor Chang and has published in prestigious journals such as Agriculture Ecosystems & Environment, Resources Conservation and Recycling and Journal of Environmental Quality.

In The Last Decade

U. Sunday Tim

43 papers receiving 818 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
U. Sunday Tim United States 18 297 225 202 189 175 44 942
William M. Iversen United States 21 241 0.8× 344 1.5× 282 1.4× 81 0.4× 68 0.4× 51 1.5k
G. Whelan United States 16 512 1.7× 70 0.3× 291 1.4× 92 0.5× 62 0.4× 46 1.1k
Csilla Farkas Hungary 17 102 0.3× 183 0.8× 132 0.7× 64 0.3× 57 0.3× 102 1.1k
Miguel Ángel Pérez-Martín Spain 15 328 1.1× 94 0.4× 115 0.6× 53 0.3× 50 0.3× 38 865
D. Brenton Myers United States 20 51 0.2× 122 0.5× 587 2.9× 121 0.6× 267 1.5× 37 1.4k
Marcello Donatelli Italy 12 123 0.4× 48 0.2× 114 0.6× 177 0.9× 181 1.0× 19 1.2k
Daniel K. Fisher United States 24 281 0.9× 150 0.7× 295 1.5× 25 0.1× 128 0.7× 67 1.7k
Yu Feng China 15 41 0.1× 169 0.8× 205 1.0× 89 0.5× 214 1.2× 33 1.4k
He Huang China 15 82 0.3× 85 0.4× 128 0.6× 30 0.2× 120 0.7× 98 1.1k
Roger J. Brooks United Kingdom 16 213 0.7× 85 0.4× 93 0.5× 21 0.1× 50 0.3× 43 1.3k

Countries citing papers authored by U. Sunday Tim

Since Specialization
Citations

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

Fields of papers citing papers by U. Sunday Tim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by U. Sunday Tim. 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 U. Sunday Tim. The network helps show where U. Sunday Tim may publish in the future.

Co-authorship network of co-authors of U. Sunday Tim

This figure shows the co-authorship network connecting the top 25 collaborators of U. Sunday Tim. A scholar is included among the top collaborators of U. Sunday Tim 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 U. Sunday Tim. U. Sunday Tim 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
1.
Sharma, Sugam, et al.. (2022). eFeed-Hungers 2.0: Pervasive computing, sustainable feeding to purge global hunger. Sustainable Computing Informatics and Systems. 35. 100694–100694. 7 indexed citations
2.
Sharma, Sugam, Shashi K. Gadia, & U. Sunday Tim. (2021). Subset, subquery and queryable-visualization in parametric big data model. International Journal of Information Management Data Insights. 1(1). 100003–100003. 5 indexed citations
3.
Sharma, Sugam, Victor Chang, U. Sunday Tim, Johnny Wong, & Shashi K. Gadia. (2018). Cloud and IoT-based emerging services systems. Cluster Computing. 22(1). 71–91. 34 indexed citations
4.
Sharma, Sugam, U. Sunday Tim, Shashi K. Gadia, & Johnny S. Wong. (2016). Proliferating Cloud Density through Big Data Ecosystem, Novel XCLOUDX Classification and Emergence of as-a-Service Era. Data Science Journal. 18 indexed citations
5.
Sharma, Sugam, et al.. (2016). TEMPORARY REMOVAL: Cloud-based emerging services systems. International Journal of Information Management. 6 indexed citations
6.
Sharma, Sugam, et al.. (2015). Classification and comparison of NoSQL big data models. 2(3). 201–201. 30 indexed citations
7.
Sharma, Sugam, U. Sunday Tim, Johnny Wong, Shashi K. Gadia, & S. C. Sharma. (2014). A Brief Review on Leading Big Data Models. Data Science Journal. 13(0). 138–157. 50 indexed citations
8.
Tim, U. Sunday, et al.. (2012). AutoConViz: automating the conversion and visualization of spatio-temporal query results in GIS. Geo-spatial Information Science. 15(2). 85–93. 2 indexed citations
9.
Sharma, Sugam, Johnny Wong, U. Sunday Tim, & Shashi K. Gadia. (2012). Bidirectional migration between variability and commonality in product line engineering of smart homes. International Journal of Systems Assurance Engineering and Management. 4(1). 1–12. 7 indexed citations
10.
Tim, U. Sunday, et al.. (2004). Integrated modeling environment for statewide assessment of groundwater vulnerability from pesticide use in agriculture. Pest Management Science. 60(8). 739–745. 14 indexed citations
11.
Bakhsh, Allah, T. S. Colvin, Dan B. Jaynes, R. S. Kanwar, & U. Sunday Tim. (2000). USING SOIL ATTRIBUTES AND GIS FOR INTERPRETATION OF SPATIAL VARIABILITY IN YIELD. Transactions of the ASAE. 43(4). 819–828. 49 indexed citations
12.
Colvin, T. S., et al.. (1997). Spatial distribution of soil attributes affecting crop yield. 971032. 15. 4 indexed citations
13.
Tim, U. Sunday, et al.. (1996). Interactive Modeling of Ground‐Water Vulnerability Within a Geographic Information System Environment a. Ground Water. 34(4). 618–627. 28 indexed citations
14.
Tim, U. Sunday. (1995). The Application of GIS in Environmental Health Sciences: Opportunities and Limitations. Environmental Research. 71(2). 75–88. 39 indexed citations
15.
Jain, Dilip, U. Sunday Tim, & Robert W. Jolly. (1995). A Spatial Decision Support System for Livestock Production Planning and Environmental Management. Applied Engineering in Agriculture. 11(5). 711–719. 10 indexed citations
16.
Kanwar, R. S., et al.. (1995). Modification of DRAINAGE Model by Using the Nitrogen Component from the GLEAMS Model. Transactions of the ASAE. 38(3). 717–724. 9 indexed citations
17.
Tim, U. Sunday, et al.. (1993). Risk‐Based Evaluation of Ground‐Water Contamination by Agricultural Pesticides. Ground Water. 31(3). 356–362. 13 indexed citations
18.
Tim, U. Sunday, S. Mostaghimi, & V. O. Shanholtz. (1992). IDENTIFICATION OF CRITICAL NONPOINT POLLUTION SOURCE AREAS USING GEOGRAPHIC INFORMATION SYSTEMS AND WATER QUALITY MODELING1. JAWRA Journal of the American Water Resources Association. 28(5). 877–887. 67 indexed citations
19.
Tim, U. Sunday & Saied Mostaghimi. (1989). MODEL FOR PREDICTING TRANSPORT OF PESTICIDES AND THEIR METABOLITES IN THE UNSATURATED ZONE1. JAWRA Journal of the American Water Resources Association. 25(4). 765–774. 4 indexed citations
20.
Ramamurthy, Amruthur S., et al.. (1987). Flow Over Sharp‐Crested Plate Weirs. Journal of Irrigation and Drainage Engineering. 113(2). 163–172. 40 indexed citations

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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