Micah Mukolwe

422 total citations
8 papers, 126 citations indexed

About

Micah Mukolwe is a scholar working on Global and Planetary Change, Water Science and Technology and Ocean Engineering. According to data from OpenAlex, Micah Mukolwe has authored 8 papers receiving a total of 126 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Global and Planetary Change, 6 papers in Water Science and Technology and 2 papers in Ocean Engineering. Recurrent topics in Micah Mukolwe's work include Flood Risk Assessment and Management (7 papers), Hydrology and Watershed Management Studies (6 papers) and Hydrology and Drought Analysis (5 papers). Micah Mukolwe is often cited by papers focused on Flood Risk Assessment and Management (7 papers), Hydrology and Watershed Management Studies (6 papers) and Hydrology and Drought Analysis (5 papers). Micah Mukolwe collaborates with scholars based in Netherlands, Kenya and Sweden. Micah Mukolwe's co-authors include Giuliano Di Baldassarre, Leonardo Alfonso, Dimitri Solomatine, Kun Yan, Micha Werner, Abdolreza Bahremand and Giuseppe Tito Aronica and has published in prestigious journals such as SHILAP Revista de lepidopterología, Water Resources Research and Hydrological Sciences Journal.

In The Last Decade

Micah Mukolwe

7 papers receiving 122 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Micah Mukolwe Netherlands	6	103	81	23	23	18	8	126
Ali Gül Türkiye	7	107 1.0×	108 1.3×	18 0.8×	13 0.6×	30 1.7×	19	164
Moussa Malam Abdou France	4	84 0.8×	56 0.7×	15 0.7×	10 0.4×	20 1.1×	9	127
Mohd Syazwan Faisal Mohd Malaysia	7	131 1.3×	55 0.7×	9 0.4×	79 3.4×	34 1.9×	17	188
Luzie Wietzke Germany	5	92 0.9×	71 0.9×	13 0.6×	17 0.7×	5 0.3×	5	106
Faizan Anwar Germany	5	154 1.5×	125 1.5×	15 0.7×	36 1.6×	54 3.0×	7	184
David Ketchum United States	6	65 0.6×	53 0.7×	47 2.0×	14 0.6×	35 1.9×	9	120
Anam Amin Italy	6	86 0.8×	41 0.5×	18 0.8×	60 2.6×	15 0.8×	13	136
Hind Oubanas France	6	151 1.5×	126 1.6×	80 3.5×	25 1.1×	20 1.1×	12	179
Ye. M. Gusev Russia	7	99 1.0×	111 1.4×	12 0.5×	85 3.7×	28 1.6×	13	168
Mark Bernhofen United Kingdom	5	122 1.2×	68 0.8×	11 0.5×	47 2.0×	15 0.8×	8	134

Countries citing papers authored by Micah Mukolwe

Since Specialization

Citations

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

Fields of papers citing papers by Micah Mukolwe

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Micah Mukolwe

This figure shows the co-authorship network connecting the top 25 collaborators of Micah Mukolwe. A scholar is included among the top collaborators of Micah Mukolwe 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 Micah Mukolwe. Micah Mukolwe is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

1.

Mukolwe, Micah, et al.. (2023). Modeling Optimal Canal Conveyance Capacity for the Ahero Irrigation Scheme using the Hydrologic Engineering Centre River Analysis System (HEC-RAS). Journal of Water Management Modeling.

2.

Mukolwe, Micah, et al.. (2022). River flow modelling for flood prediction using artificial neural network in ungauged Perkerra catchment, Baringo County, Kenya. Water Practice & Technology. 17(4). 914–929. 10 indexed citations

3.

Bahremand, Abdolreza, et al.. (2019). Evaluating flood extent mapping of two hydraulic models, 1D HEC‐RAS and 2D LISFLOOD‐FP in comparison with aerial imagery observations in Gorgan flood plain, Iran. Natural Resource Modeling. 32(4). 11 indexed citations

4.

Mukolwe, Micah. (2017). Flood Hazard Mapping: Uncertainty and its Value in the Decision-making Process. Research Repository (Delft University of Technology). 5 indexed citations

5.

Alfonso, Leonardo, Micah Mukolwe, & Giuliano Di Baldassarre. (2016). Probabilistic Flood Maps to support decision‐making: Mapping the Value of Information. Water Resources Research. 52(2). 1026–1043. 71 indexed citations

6.

Aronica, Giuseppe Tito, et al.. (2016). Assessing fluvial flood risk in urban environments: a case study. SHILAP Revista de lepidopterología. 7. 11007–11007. 1 indexed citations

7.

Mukolwe, Micah, Kun Yan, Giuliano Di Baldassarre, & Dimitri Solomatine. (2015). Testing new sources of topographic data for flood propagation modelling under structural, parameter and observation uncertainty. Hydrological Sciences Journal. 61(9). 1707–1715. 15 indexed citations

8.

Mukolwe, Micah, Giuliano Di Baldassarre, Micha Werner, & Dimitri Solomatine. (2013). Flood modelling: parameterisation and inflow uncertainty. Proceedings of the Institution of Civil Engineers - Water Management. 167(1). 51–60. 13 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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