Edom Moges

503 total citations
10 papers, 316 citations indexed

About

Edom Moges is a scholar working on Water Science and Technology, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Edom Moges has authored 10 papers receiving a total of 316 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Water Science and Technology, 8 papers in Global and Planetary Change and 5 papers in Environmental Engineering. Recurrent topics in Edom Moges's work include Hydrology and Watershed Management Studies (8 papers), Hydrological Forecasting Using AI (4 papers) and Flood Risk Assessment and Management (4 papers). Edom Moges is often cited by papers focused on Hydrology and Watershed Management Studies (8 papers), Hydrological Forecasting Using AI (4 papers) and Flood Risk Assessment and Management (4 papers). Edom Moges collaborates with scholars based in United States, Switzerland and Canada. Edom Moges's co-authors include Yonas Demissie, Laurel G. Larsen, Fuad Yassin, Hong‐Yi Li, Dino Bellugi, Christopher Tennant, Liang Zhang, Benjamin L. Ruddell, Jessica M. Driscoll and Adam S. Wymore and has published in prestigious journals such as Water Resources Research, Journal of Hydrology and Hydrological Processes.

In The Last Decade

Edom Moges

10 papers receiving 314 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Edom Moges United States	7	229	211	147	40	27	10	316
Brij Kishor Pandey India	9	171 0.7×	253 1.2×	82 0.6×	53 1.3×	30 1.1×	12	327
Hongren Shen Canada	8	302 1.3×	280 1.3×	131 0.9×	67 1.7×	18 0.7×	17	378
Mani Kant Verma India	12	164 0.7×	208 1.0×	153 1.0×	71 1.8×	36 1.3×	30	335
Suresh Sharma United States	9	201 0.9×	212 1.0×	95 0.6×	67 1.7×	15 0.6×	30	304
Kue Bum Kim United Kingdom	12	191 0.8×	183 0.9×	88 0.6×	86 2.1×	29 1.1×	13	288
Tao‐Chang Yang Taiwan	10	248 1.1×	235 1.1×	111 0.8×	46 1.1×	48 1.8×	15	359
Meenu Ramadas India	11	172 0.8×	236 1.1×	124 0.8×	40 1.0×	28 1.0×	25	353
Ruqayah Mohammed Iraq	12	123 0.5×	221 1.0×	69 0.5×	49 1.2×	28 1.0×	27	328
Bagher Zahabiyoun Iran	10	212 0.9×	230 1.1×	72 0.5×	69 1.7×	87 3.2×	15	361
Kirsti Hakala Australia	9	260 1.1×	295 1.4×	70 0.5×	128 3.2×	21 0.8×	18	374

Countries citing papers authored by Edom Moges

Since Specialization

Citations

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

Fields of papers citing papers by Edom Moges

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Edom Moges

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

All Works

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10 of 10 papers shown

Moges, Edom, et al.. (2023). Synchrony of Nitrogen Wet Deposition Inputs and Watershed Nitrogen Outputs Using Information Theory. Water Resources Research. 59(10). 1 indexed citations

Moges, Edom, Benjamin L. Ruddell, Liang Zhang, Jessica M. Driscoll, & Laurel G. Larsen. (2022). Strength and Memory of Precipitation's Control Over Streamflow Across the Conterminous United States. Water Resources Research. 58(3). 12 indexed citations

Moges, Edom, Benjamin L. Ruddell, Liang Zhang, et al.. (2022). HydroBench: Jupyter supported reproducible hydrological model benchmarking and diagnostic tool. Frontiers in Earth Science. 10. 5 indexed citations

Moges, Edom, et al.. (2021). CHOSEN: A synthesis of hydrometeorological data from intensively monitored catchments and comparative analysis of hydrologic extremes. Hydrological Processes. 35(11). 11 indexed citations

Tennant, Christopher, et al.. (2020). The Utility of Information Flow in Formulating Discharge Forecast Models: A Case Study From an Arid Snow‐Dominated Catchment. Water Resources Research. 56(8). 43 indexed citations

Moges, Edom, Yonas Demissie, Laurel G. Larsen, & Fuad Yassin. (2020). Review: Sources of Hydrological Model Uncertainties and Advances in Their Analysis. Water. 13(1). 28–28. 169 indexed citations

Moges, Edom, Yonas Demissie, & Hong‐Yi Li. (2020). Uncertainty propagation in coupled hydrological models using winding stairs and null-space Monte Carlo methods. Journal of Hydrology. 589. 125341–125341. 15 indexed citations

Moges, Edom, et al.. (2018). Historical and future drought in Bangladesh using copula-based bivariate regional frequency analysis. Theoretical and Applied Climatology. 135(3-4). 855–871. 46 indexed citations

Moges, Edom, et al.. (2018). Bayesian Augmented L-Moment Approach for Regional Frequency Analysis. 165–180. 5 indexed citations

10.

Moges, Edom, Yonas Demissie, & Hong‐Yi Li. (2016). Hierarchical mixture of experts and diagnostic modeling approach to reduce hydrologic model structural uncertainty. Water Resources Research. 52(4). 2551–2570. 9 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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