Kazungu Maitaria

423 total citations
10 papers, 253 citations indexed

About

Kazungu Maitaria is a scholar working on Atmospheric Science, Ecology and Global and Planetary Change. According to data from OpenAlex, Kazungu Maitaria has authored 10 papers receiving a total of 253 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Atmospheric Science, 2 papers in Ecology and 2 papers in Global and Planetary Change. Recurrent topics in Kazungu Maitaria's work include Tropical and Extratropical Cyclones Research (4 papers), Climate variability and models (2 papers) and Hydrology and Drought Analysis (2 papers). Kazungu Maitaria is often cited by papers focused on Tropical and Extratropical Cyclones Research (4 papers), Climate variability and models (2 papers) and Hydrology and Drought Analysis (2 papers). Kazungu Maitaria collaborates with scholars based in United States, Italy and Romania. Kazungu Maitaria's co-authors include Geoffrey M. Bonnin, Michael Yekta, Sanja Perica, Lichuan Chen, Ruimin Chen, Ishani Roy, Daniel Brewer, Tye Parzybok, Deborah L. Martin and Bingzhang Lin and has published in prestigious journals such as JAWRA Journal of the American Water Resources Association, Journal of Geophysical Research Oceans and AGU Fall Meeting Abstracts.

In The Last Decade

Kazungu Maitaria

10 papers receiving 234 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kazungu Maitaria United States	4	196	122	82	35	29	10	253
Rita Lammersen Netherlands	4	228 1.2×	101 0.8×	118 1.4×	38 1.1×	53 1.8×	6	310
Felício Cassalho Brazil	10	137 0.7×	94 0.8×	100 1.2×	65 1.9×	72 2.5×	28	287
Gábor Bálint Hungary	6	208 1.1×	72 0.6×	186 2.3×	29 0.8×	11 0.4×	9	275
Nazla Bushra United States	9	159 0.8×	83 0.7×	23 0.3×	26 0.7×	30 1.0×	22	232
Agnes Pranindita Sweden	7	203 1.0×	67 0.5×	115 1.4×	35 1.0×	7 0.2×	11	298
Manuela Nied Germany	5	184 0.9×	71 0.6×	143 1.7×	12 0.3×	39 1.3×	6	246
Guo Zhang China	9	197 1.0×	137 1.1×	86 1.0×	27 0.8×	8 0.3×	26	275
Imme Benedict Netherlands	8	261 1.3×	116 1.0×	135 1.6×	26 0.7×	7 0.2×	14	336
Klaus Piroth Austria	3	284 1.4×	130 1.1×	90 1.1×	32 0.9×	15 0.5×	3	317
Iulii Didovets Germany	10	241 1.2×	81 0.7×	227 2.8×	28 0.8×	9 0.3×	22	359

Countries citing papers authored by Kazungu Maitaria

Since Specialization

Citations

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

Fields of papers citing papers by Kazungu Maitaria

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kazungu Maitaria

This figure shows the co-authorship network connecting the top 25 collaborators of Kazungu Maitaria. A scholar is included among the top collaborators of Kazungu Maitaria 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 Kazungu Maitaria. Kazungu Maitaria 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

Bakhtyar, R., Kazungu Maitaria, Hassan Mashriqui, et al.. (2020). A New 1D/2D Coupled Modeling Approach for a Riverine‐Estuarine System Under Storm Events: Application to Delaware River Basin. Journal of Geophysical Research Oceans. 125(9). 51 indexed citations

Bakhtyar, R., Kazungu Maitaria, Saeed Moghimi, et al.. (2020). Characterizing Compound Coastal-Riverine Behavior along the U.S. East Coast using a Coupled Hydrologic-Hydrodynamic Model. 2 indexed citations

Bakhtyar, R., Kazungu Maitaria, Hassan Mashriqui, et al.. (2019). Regional-Scale Hydrologic and Hydrodynamic Modeling of a Riverine-Estuarine System under Extreme Storms: Application to U.S. East Coast. AGU Fall Meeting Abstracts. 2019. 2 indexed citations

Bakhtyar, R., et al.. (2018). A Coupled Ocean, Wave, Hydrologic, Riverine Flow Model for Delaware Bay/River Basin: Analysis of Hurricanes Irene, Isabel and Sandy. AGU Fall Meeting Abstracts. 2018. 1 indexed citations

Maitaria, Kazungu, et al.. (2018). 1D and 2D Hydrodynamic Modeling of Riverine-Estuary System under Extreme Storms: A Case Study of Delaware Bay/River Basin. AGU Fall Meeting Abstracts. 2018. 1 indexed citations

Perica, Sanja, Douglas D. Kane, Kazungu Maitaria, et al.. (2012). Precipitation-Frequency Atlas of the United States. Volume 7 Version 2.0. Alaska. 1 indexed citations

Perica, Sanja, S. Heim, Kazungu Maitaria, et al.. (2011). Precipitation-Frequency Atlas of the United States. Volume 6 Version 2.3. California. 2 indexed citations

Bonnin, Geoffrey M., Kazungu Maitaria, & Michael Yekta. (2011). Trends in Rainfall Exceedances in the Observed Record in Selected Areas of the United States1. JAWRA Journal of the American Water Resources Association. 47(6). 1173–1182. 22 indexed citations

Perica, Sanja, Kazungu Maitaria, Deborah L. Martin, et al.. (2011). Precipitation-frequency atlas of the United States, Alaska. 4 indexed citations

10.

Perica, Sanja, Bingzhang Lin, Deborah L. Martin, et al.. (2009). Precipitation-Frequency Atlas of the United States. 167 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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