M. B. Dholakia

2.5k total citations · 3 hit papers
19 papers, 2.1k citations indexed

About

M. B. Dholakia is a scholar working on Global and Planetary Change, Management, Monitoring, Policy and Law and Atmospheric Science. According to data from OpenAlex, M. B. Dholakia has authored 19 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Global and Planetary Change, 10 papers in Management, Monitoring, Policy and Law and 4 papers in Atmospheric Science. Recurrent topics in M. B. Dholakia's work include Flood Risk Assessment and Management (10 papers), Landslides and related hazards (10 papers) and Hydrology and Watershed Management Studies (3 papers). M. B. Dholakia is often cited by papers focused on Flood Risk Assessment and Management (10 papers), Landslides and related hazards (10 papers) and Hydrology and Watershed Management Studies (3 papers). M. B. Dholakia collaborates with scholars based in India, Vietnam and Norway. M. B. Dholakia's co-authors include Indra Prakash, Binh Thai Pham, Dieu Tien Bui, Biswajeet Pradhan, Hamid Reza Pourghasemi, Dhruvesh Patel, Prashant K. Srivastava, Ataollah Shirzadi, Hung Quoc Le and Long Hoang Nguyen and has published in prestigious journals such as Agricultural Water Management, CATENA and Environmental Modelling & Software.

In The Last Decade

M. B. Dholakia

19 papers receiving 2.1k citations

Hit Papers

Hybrid integration of Multilayer Perceptron Neural Networ... 2015 2026 2018 2022 2016 2016 2015 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. B. Dholakia India 13 1.4k 1.3k 404 391 351 19 2.1k
Ioanna Ilia Greece 20 1.5k 1.0× 1.5k 1.2× 447 1.1× 415 1.1× 473 1.3× 44 2.5k
Zhongfan Zhu China 17 1.3k 0.9× 1.1k 0.8× 491 1.2× 308 0.8× 259 0.7× 66 2.2k
Xiaoshen Xie China 10 1.1k 0.8× 1.2k 0.9× 331 0.8× 316 0.8× 420 1.2× 19 2.0k
Omar F. Althuwaynee Malaysia 19 1.4k 1.0× 1.3k 1.0× 452 1.1× 343 0.9× 331 0.9× 33 2.1k
Ataollah Shirzadi Iran 22 1.1k 0.8× 1.5k 1.1× 386 1.0× 282 0.7× 520 1.5× 31 2.3k
Zhice Fang China 18 1.3k 0.9× 1.4k 1.1× 596 1.5× 292 0.7× 339 1.0× 34 2.1k
Paraskevas Tsangaratos Greece 20 1.6k 1.2× 1.7k 1.4× 519 1.3× 460 1.2× 572 1.6× 62 2.9k
Viet‐Ha Nhu Vietnam 25 872 0.6× 968 0.8× 292 0.7× 232 0.6× 436 1.2× 35 2.1k
Abhirup Dikshit Australia 26 878 0.6× 1.3k 1.0× 439 1.1× 266 0.7× 376 1.1× 38 2.0k
Ling Peng China 15 1.2k 0.9× 958 0.7× 454 1.1× 282 0.7× 187 0.5× 20 1.7k

Countries citing papers authored by M. B. Dholakia

Since Specialization
Citations

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

Fields of papers citing papers by M. B. Dholakia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. B. Dholakia. 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 M. B. Dholakia. The network helps show where M. B. Dholakia may publish in the future.

Co-authorship network of co-authors of M. B. Dholakia

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

All Works

19 of 19 papers shown
1.
Dholakia, M. B., et al.. (2024). Multivariate analysis of inland water quality index in parts of Vapi district, Gujarat, India. Water Science & Technology Water Supply. 25(2). 193–211. 1 indexed citations
2.
Pham, Binh Thai, Ataollah Shirzadi, Dieu Tien Bui, Indra Prakash, & M. B. Dholakia. (2017). A hybrid machine learning ensemble approach based on a Radial Basis Function neural network and Rotation Forest for landslide susceptibility modeling: A case study in the Himalayan area, India. International Journal of Sediment Research. 33(2). 157–170. 144 indexed citations
4.
Pham, Binh Thai, Dieu Tien Bui, Indra Prakash, Long Hoang Nguyen, & M. B. Dholakia. (2017). A comparative study of sequential minimal optimization-based support vector machines, vote feature intervals, and logistic regression in landslide susceptibility assessment using GIS. Environmental Earth Sciences. 76(10). 75 indexed citations
5.
Pham, Binh Thai, Dieu Tien Bui, M. B. Dholakia, et al.. (2016). A novel ensemble classifier of rotation forest and Naïve Bayer for landslide susceptibility assessment at the Luc Yen district, Yen Bai Province (Viet Nam) using GIS. Geomatics Natural Hazards and Risk. 8(2). 649–671. 86 indexed citations
6.
Dholakia, M. B., et al.. (2016). Analysis of Optimum Number of Rain Gauge in Shetrunji River Basin, Gujarat - India. International Journal For Science Technology And Engineering. 2(11). 380–384. 3 indexed citations
7.
Pham, Binh Thai, Biswajeet Pradhan, Dieu Tien Bui, Indra Prakash, & M. B. Dholakia. (2016). A comparative study of different machine learning methods for landslide susceptibility assessment: A case study of Uttarakhand area (India). Environmental Modelling & Software. 84. 240–250. 425 indexed citations breakdown →
8.
Pham, Binh Thai, et al.. (2016). Evaluation of predictive ability of support vector machines and naive Bayes trees methods for spatial prediction of landslides in Uttarakhand state (India) using GIS. 55 indexed citations
9.
Pham, Binh Thai, Dieu Tien Bui, Indra Prakash, & M. B. Dholakia. (2016). Hybrid integration of Multilayer Perceptron Neural Networks and machine learning ensembles for landslide susceptibility assessment at Himalayan area (India) using GIS. CATENA. 149. 52–63. 507 indexed citations breakdown →
10.
11.
Pham, Binh Thai, Dieu Tien Bui, Indra Prakash, & M. B. Dholakia. (2016). Rotation forest fuzzy rule-based classifier ensemble for spatial prediction of landslides using GIS. Natural Hazards. 83(1). 97–127. 118 indexed citations
13.
Pham, Binh Thai, Dieu Tien Bui, Hamid Reza Pourghasemi, Indra Prakash, & M. B. Dholakia. (2015). Landslide susceptibility assesssment in the Uttarakhand area (India) using GIS: a comparison study of prediction capability of naïve bayes, multilayer perceptron neural networks, and functional trees methods. Theoretical and Applied Climatology. 128(1-2). 255–273. 311 indexed citations breakdown →
14.
Dholakia, M. B., et al.. (2014). Impact of Monthly Curve Number on Daily Runoff Estimation for Ozat Catchment in India. 4(4). 144–155. 21 indexed citations
15.
Dholakia, M. B., et al.. (2012). Prediction of maximum/minimum temperatures using Holt Winters Method with Excel Spread Sheet for Junagadh Region. 1(6). 6 indexed citations
16.
Patel, Dhruvesh, et al.. (2011). Water Harvesting Structure Positioning by Using Geo-Visualization Concept and Prioritization of Mini-Watersheds Through Morphometric Analysis in the Lower Tapi Basin. Journal of the Indian Society of Remote Sensing. 40(2). 299–312. 123 indexed citations
17.
Patel, Dhruvesh & M. B. Dholakia. (2010). Identifying Probable Submergence Area of Surat City Using Digital Elevation Model and Geographical Information System. 11 indexed citations
18.
Patel, Dhruvesh & M. B. Dholakia. (2010). Feasible Structural and Non- Structural Measures to Minimize Effect of Flood in Lower Tapi Basin. 18 indexed citations
19.
Dholakia, M. B., et al.. (1998). Simulation of border irrigation system using explicit MacCormack finite difference method. Agricultural Water Management. 36(3). 181–200. 10 indexed citations

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