Barnali Dixon

2.9k total citations · 1 hit paper
47 papers, 2.4k citations indexed

About

Barnali Dixon is a scholar working on Environmental Engineering, Global and Planetary Change and Water Science and Technology. According to data from OpenAlex, Barnali Dixon has authored 47 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Environmental Engineering, 15 papers in Global and Planetary Change and 13 papers in Water Science and Technology. Recurrent topics in Barnali Dixon's work include Flood Risk Assessment and Management (10 papers), Hydrology and Watershed Management Studies (10 papers) and Hydrological Forecasting Using AI (9 papers). Barnali Dixon is often cited by papers focused on Flood Risk Assessment and Management (10 papers), Hydrology and Watershed Management Studies (10 papers) and Hydrological Forecasting Using AI (9 papers). Barnali Dixon collaborates with scholars based in United States, Iran and Malaysia. Barnali Dixon's co-authors include Seyed Amir Naghibi, Hamid Reza Pourghasemi, Pijush Samui, Venkatesh Uddameri, Frank T.‐C. Tsai, Ata Allah Nadiri, Asghar Asghari Moghaddam, Mustafa Üstüner, Füsun Balık Şanlı and Elham Fijani and has published in prestigious journals such as Journal of Hydrology, International Journal of Remote Sensing and Hydrological Processes.

In The Last Decade

Barnali Dixon

42 papers receiving 2.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

GIS-based groundwater potential mapping using boosted regression tree, classification and regression tree, and random forest machine learning models in Iran

2015 560 citations Seyed Amir Naghibi, Hamid Reza Pourghasemi et al. Environmental Monitoring and Assessment profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Barnali Dixon United States	21	1.2k	837	807	422	335	47	2.4k
Saied Pirasteh China	33	1.0k 0.9×	1.5k 1.8×	616 0.8×	236 0.6×	210 0.6×	147	3.4k
Hone‐Jay Chu Taiwan	31	854 0.7×	880 1.1×	575 0.7×	78 0.2×	289 0.9×	142	3.1k
Bahareh Kalantar Japan	30	1.1k 1.0×	1.5k 1.8×	555 0.7×	95 0.2×	389 1.2×	76	3.2k
Asish Saha India	34	1.0k 0.9×	1.6k 1.9×	1.1k 1.4×	366 0.9×	303 0.9×	89	3.2k
Farzaneh Sajedi Hosseini Iran	20	1.1k 0.9×	1.2k 1.5×	1.1k 1.3×	179 0.4×	237 0.7×	36	2.8k
Arash Malekian Iran	27	957 0.8×	1.4k 1.6×	946 1.2×	184 0.4×	268 0.8×	100	2.4k
Hossein Hashemi Sweden	24	742 0.6×	892 1.1×	577 0.7×	175 0.4×	110 0.3×	101	2.0k
Mohsen Sherif United Arab Emirates	35	2.1k 1.8×	727 0.9×	1.2k 1.5×	1.1k 2.6×	158 0.5×	166	3.8k
Indrajit Chowdhuri India	37	1.1k 1.0×	2.0k 2.4×	1.2k 1.5×	267 0.6×	294 0.9×	80	3.4k

Countries citing papers authored by Barnali Dixon

Since Specialization

Citations

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

Fields of papers citing papers by Barnali Dixon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Barnali Dixon

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Cheek, Liz, Barnali Dixon, & Maya A. Trotz. (2025). If you build it, who will come? Rethinking living shoreline site selection through integration of equity index and human well-being benefits using geospatially integrated method. Applied Geography. 183. 103746–103746.

Oberhauser, Ann M., Barnali Dixon, Joann Mossa, & Selima Sultana. (2025). Enhancing the Climate in Geography Through Diversity and Inclusion. The Professional Geographer. 1–12.

Dixon, Barnali, et al.. (2025). Did official flood maps work in Hurricane Helene? Systematic evaluation of official flood maps with ground-truth observations. International Journal of Disaster Risk Reduction. 131. 105912–105912.

Johns, Rebecca, et al.. (2023). Police Violence as Containment of Black Bodies during Urban Renewal: A Spatial Analysis of Civilian Deaths by Police in Florida. Southeastern geographer. 63(4). 386–417. 2 indexed citations

Kumar, Deepak, et al.. (2023). Application of deep learning approaches to predict monthly stream flows. Environmental Monitoring and Assessment. 195(6). 705–705. 8 indexed citations

Dixon, Barnali, et al.. (2021). The role of crowdsourced data, participatory decision-making and mapping of flood related events. Applied Geography. 128. 102393–102393. 17 indexed citations

Dixon, Barnali, et al.. (2019). An integrative GIS approach to analyzing the impacts of septic systems on the coast of Florida, USA. Physical Geography. 41(5). 407–432. 3 indexed citations

Brown, Christopher, Hans Nørgaard Hansen, Xiangqian Jiang, et al.. (2018). Multiscale analyses and characterizations of surface topographies. CIRP Annals. 67(2). 839–862. 161 indexed citations

Dixon, Barnali, et al.. (2018). Assessing intrinsic and specific vulnerability models ability to indicate groundwater vulnerability to groups of similar pesticides: a comparative study. Physical Geography. 1–19. 25 indexed citations

10.

Dixon, Barnali & Venkatesh Uddameri. (2016). GIS and geocomputation for water resources science and engineering.. Digital Commons - University of South Florida (University of South Florida). 40 indexed citations

11.

Naghibi, Seyed Amir, Hamid Reza Pourghasemi, & Barnali Dixon. (2015). GIS-based groundwater potential mapping using boosted regression tree, classification and regression tree, and random forest machine learning models in Iran. Environmental Monitoring and Assessment. 188(1). 44–44. 560 indexed citations breakdown →

12.

Johns, Rebecca, et al.. (2013). Evaluating Food Deserts in St. Petersburg, Florida. 44. 3 indexed citations

13.

Dixon, Barnali, et al.. (2012). Alternative spatially enhanced integrative techniques for mapping seagrass in Florida's marine ecosystem. International Journal of Remote Sensing. 34(4). 1248–1264. 24 indexed citations

14.

Dixon, Barnali, et al.. (2012). Effects of urbanization on streamflow using SWAT with real and simulated meteorological data. Applied Geography. 35(1-2). 174–190. 59 indexed citations

15.

Samui, Pijush & Barnali Dixon. (2011). Application of support vector machine and relevance vector machine to determine evaporative losses in reservoirs. Hydrological Processes. 26(9). 1361–1369. 72 indexed citations

16.

Dixon, Barnali, et al.. (2005). A Comparative Study Of The Effects OfInput Resolution On The SWAT Model. WIT Transactions on Ecology and the Environment. 83. 9 indexed citations

17.

Dixon, Barnali. (2004). Prediction of Ground Water Vulnerability using an Integrated GIS-based neuro-fuzzy techniques. Digital Commons - University of South Florida (University of South Florida). 4(2). 27 indexed citations

18.

Dixon, Barnali. (2002). Application Of Neuro-fuzzy Techniques To Predict Ground Water Vulnerability. WIT transactions on modelling and simulation. 31. 2 indexed citations

19.

Dixon, Barnali, et al.. (2002). Prediction of Aquifer Vulnerability to Pesticides Using Fuzzy Rule-Based Models at the Regional Scale. Physical Geography. 23(2). 130–153. 21 indexed citations

20.

Dixon, Barnali, et al.. (2001). Application of Neuro-Fuzzy Technique+2:9s to Predict Ground Water Vulnerability in Northwest Arkansas. Journal of the Arkansas Academy of Science. 4 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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