Minu Treesa Abraham

960 total citations
24 papers, 576 citations indexed

About

Minu Treesa Abraham is a scholar working on Management, Monitoring, Policy and Law, Global and Planetary Change and Atmospheric Science. According to data from OpenAlex, Minu Treesa Abraham has authored 24 papers receiving a total of 576 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Management, Monitoring, Policy and Law, 13 papers in Global and Planetary Change and 12 papers in Atmospheric Science. Recurrent topics in Minu Treesa Abraham's work include Landslides and related hazards (24 papers), Cryospheric studies and observations (12 papers) and Flood Risk Assessment and Management (8 papers). Minu Treesa Abraham is often cited by papers focused on Landslides and related hazards (24 papers), Cryospheric studies and observations (12 papers) and Flood Risk Assessment and Management (8 papers). Minu Treesa Abraham collaborates with scholars based in India, Australia and Saudi Arabia. Minu Treesa Abraham's co-authors include Neelima Satyam, Biswajeet Pradhan, Abdullah Alamri, Samuele Segoni, Ascanio Rosi, Binh Thai Pham, Khairul Nizam Abdul Maulud, Luca Piciullo and Julia Kowalski and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and CATENA.

In The Last Decade

Minu Treesa Abraham

23 papers receiving 566 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Minu Treesa Abraham India 14 525 274 206 149 131 24 576
Jianping Qiao China 12 594 1.1× 238 0.9× 191 0.9× 162 1.1× 196 1.5× 49 695
Yueren Xu China 14 400 0.8× 210 0.8× 180 0.9× 123 0.8× 99 0.8× 35 662
Yuanyao Li China 9 609 1.2× 252 0.9× 184 0.9× 128 0.9× 201 1.5× 19 664
Taorui Zeng China 14 444 0.8× 246 0.9× 153 0.7× 69 0.5× 119 0.9× 36 548
Giovanna Capparelli Italy 12 461 0.9× 160 0.6× 161 0.8× 87 0.6× 255 1.9× 29 526
Kushanav Bhuyan Italy 13 522 1.0× 280 1.0× 221 1.1× 70 0.5× 71 0.5× 19 612
Yuan Hsi Lee China 2 383 0.7× 262 1.0× 99 0.5× 109 0.7× 48 0.4× 2 433
Kunlong Yin China 12 460 0.9× 167 0.6× 189 0.9× 71 0.5× 148 1.1× 29 556
Clàudia Abancó Spain 12 535 1.0× 287 1.0× 164 0.8× 75 0.5× 98 0.7× 32 593
Jianfei Guo China 3 308 0.6× 157 0.6× 102 0.5× 97 0.7× 75 0.6× 6 381

Countries citing papers authored by Minu Treesa Abraham

Since Specialization
Citations

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

Fields of papers citing papers by Minu Treesa Abraham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Minu Treesa Abraham. 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 Minu Treesa Abraham. The network helps show where Minu Treesa Abraham may publish in the future.

Co-authorship network of co-authors of Minu Treesa Abraham

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

All Works

20 of 20 papers shown
1.
Abraham, Minu Treesa, et al.. (2024). Mapping built-up area expansion in landslide susceptible zones using automatic land use/land cover classification. Journal of Earth System Science. 133(3). 3 indexed citations
2.
Piciullo, Luca, et al.. (2024). An operational IoT-based slope stability forecast using a digital twin. Environmental Modelling & Software. 183. 106228–106228. 6 indexed citations
3.
Abraham, Minu Treesa, Neelima Satyam, & Julia Kowalski. (2024). Numerical Modelling of Debris Flows for Simulation-Based Decision Support: An Indian Perspective. Indian geotechnical journal. 55(4). 2680–2692. 4 indexed citations
4.
Abraham, Minu Treesa, et al.. (2023). Characterization and interpretation of seismic signals generated by 7th February 2021, Dhauliganga disaster (India). Journal of Applied Geophysics. 213. 105018–105018. 3 indexed citations
5.
Abraham, Minu Treesa, Neelima Satyam, & Biswajeet Pradhan. (2023). A novel approach for quantifying similarities between different debris flow sites using field investigations and numerical modelling. Terra Nova. 36(2). 138–147. 3 indexed citations
6.
Abraham, Minu Treesa, Neelima Satyam, Biswajeet Pradhan, & Samuele Segoni. (2022). Proposing an easy-to-use tool for estimating landslide dimensions using a data-driven approach. SHILAP Revista de lepidopterología. 34(1). 243–258. 3 indexed citations
7.
Abraham, Minu Treesa, et al.. (2022). Debris flow simulation 2D (DFS 2D): Numerical modelling of debris flows and calibration of friction parameters. Journal of Rock Mechanics and Geotechnical Engineering. 14(6). 1747–1760. 17 indexed citations
8.
Abraham, Minu Treesa, et al.. (2021). Effect of spatial resolution and data splitting on landslide susceptibility mapping using different machine learning algorithms. Geomatics Natural Hazards and Risk. 12(1). 3381–3408. 26 indexed citations
9.
10.
Abraham, Minu Treesa, Neelima Satyam, Biswajeet Pradhan, Samuele Segoni, & Abdullah Alamri. (2021). Developing a prototype landslide early warning system for Darjeeling Himalayas using SIGMA model and real-time field monitoring. Geosciences Journal. 26(2). 289–301. 27 indexed citations
11.
Abraham, Minu Treesa, Neelima Satyam, Biswajeet Pradhan, et al.. (2021). Forecasting landslides using SIGMA model: a case study from Idukki, India. Geomatics Natural Hazards and Risk. 12(1). 540–559. 16 indexed citations
12.
Abraham, Minu Treesa, Neelima Satyam, Ascanio Rosi, Biswajeet Pradhan, & Samuele Segoni. (2021). Usage of antecedent soil moisture for improving the performance of rainfall thresholds for landslide early warning. CATENA. 200. 105147–105147. 66 indexed citations
13.
14.
Abraham, Minu Treesa, et al.. (2020). Using Field-Based Monitoring to Enhance the Performance of Rainfall Thresholds for Landslide Warning. Water. 12(12). 3453–3453. 23 indexed citations
15.
Abraham, Minu Treesa, Neelima Satyam, Biswajeet Pradhan, & Abdullah Alamri. (2020). Forecasting of Landslides Using Rainfall Severity and Soil Wetness: A Probabilistic Approach for Darjeeling Himalayas. Water. 12(3). 804–804. 42 indexed citations
16.
Abraham, Minu Treesa, et al.. (2020). Runout modeling and calibration of friction parameters of Kurichermala debris flow, India. Landslides. 18(2). 737–754. 44 indexed citations
17.
Abraham, Minu Treesa, Neelima Satyam, & Ascanio Rosi. (2020). Empirical Rainfall Thresholds for Occurrence of Landslides in Wayanad, India. 3 indexed citations
18.
Abraham, Minu Treesa, Neelima Satyam, Biswajeet Pradhan, & Abdullah Alamri. (2020). IoT-Based Geotechnical Monitoring of Unstable Slopes for Landslide Early Warning in the Darjeeling Himalayas. Sensors. 20(9). 2611–2611. 69 indexed citations
19.
Abraham, Minu Treesa, et al.. (2020). Rainfall Threshold Estimation and Landslide Forecasting for Kalimpong, India Using SIGMA Model. Water. 12(4). 1195–1195. 21 indexed citations
20.
Abraham, Minu Treesa, et al.. (2019). Rainfall Thresholds for Prediction of Landslides in Idukki, India: An Empirical Approach. Water. 11(10). 2113–2113. 55 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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