Massoud Tajrishy

1.8k total citations
55 papers, 1.3k citations indexed

About

Massoud Tajrishy is a scholar working on Global and Planetary Change, Water Science and Technology and Environmental Engineering. According to data from OpenAlex, Massoud Tajrishy has authored 55 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Global and Planetary Change, 24 papers in Water Science and Technology and 19 papers in Environmental Engineering. Recurrent topics in Massoud Tajrishy's work include Hydrology and Watershed Management Studies (16 papers), Flood Risk Assessment and Management (16 papers) and Transboundary Water Resource Management (13 papers). Massoud Tajrishy is often cited by papers focused on Hydrology and Watershed Management Studies (16 papers), Flood Risk Assessment and Management (16 papers) and Transboundary Water Resource Management (13 papers). Massoud Tajrishy collaborates with scholars based in Iran, United States and Germany. Massoud Tajrishy's co-authors include Somayeh Sima, Ehsan Jalilvand, Luca Brocca, Ali Ahmadalipour, Madjid Delkash, Raheleh Givehchi, Mohammad Arhami, Stephan Schulz, Elmira Hassanzadeh and Christoph Schüth and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Remote Sensing of Environment.

In The Last Decade

Massoud Tajrishy

51 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Massoud Tajrishy Iran 18 711 473 466 299 154 55 1.3k
M. Azarderakhsh United States 16 591 0.8× 301 0.6× 332 0.7× 314 1.1× 164 1.1× 23 1.1k
Ali Mehran United States 14 1.2k 1.7× 279 0.6× 493 1.1× 725 2.4× 186 1.2× 21 1.8k
Ali Nazemi Canada 17 924 1.3× 255 0.5× 832 1.8× 240 0.8× 390 2.5× 38 1.6k
Ghaleb Faour Lebanon 23 624 0.9× 343 0.7× 240 0.5× 344 1.2× 73 0.5× 91 1.4k
Xushu Wu China 25 1.5k 2.1× 440 0.9× 788 1.7× 546 1.8× 134 0.9× 52 2.1k
Yingchun Ge China 17 598 0.8× 225 0.5× 569 1.2× 327 1.1× 137 0.9× 32 1.1k
Wenbin Zhu China 21 978 1.4× 688 1.5× 437 0.9× 636 2.1× 93 0.6× 54 1.7k
Boud Verbeiren Belgium 16 1.4k 2.0× 655 1.4× 904 1.9× 291 1.0× 201 1.3× 48 2.0k
Elmira Hassanzadeh Canada 16 835 1.2× 180 0.4× 640 1.4× 177 0.6× 343 2.2× 29 1.4k
Iwona Pińskwar Poland 21 1.4k 2.0× 194 0.4× 812 1.7× 467 1.6× 66 0.4× 39 1.9k

Countries citing papers authored by Massoud Tajrishy

Since Specialization
Citations

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

Fields of papers citing papers by Massoud Tajrishy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Massoud Tajrishy

This figure shows the co-authorship network connecting the top 25 collaborators of Massoud Tajrishy. A scholar is included among the top collaborators of Massoud Tajrishy 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 Massoud Tajrishy. Massoud Tajrishy 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.
2.
Tajrishy, Massoud, et al.. (2025). Introducing the REPAIR framework for sustainable environmental restoration: Lessons from lake urmia, Iran. Journal of Arid Environments. 229. 105369–105369. 2 indexed citations
3.
Tajrishy, Massoud, et al.. (2023). Assessing mountain block water storage changes in river basins using water balance and GRACE: A case study on Lake Urmia Basin of Iran. Journal of Hydrology Regional Studies. 49. 101511–101511. 3 indexed citations
4.
Michelsen, Nils, et al.. (2022). Evaporation from the dried-up lake bed of Lake Urmia, Iran. The Science of The Total Environment. 858(Pt 3). 159960–159960. 10 indexed citations
5.
Ahmadzadeh, Hossein, Ahmad Fakheri Fard, Mohammad Ali Ghorbani, & Massoud Tajrishy. (2022). Evaluation of the Simultaneous Effect of Changes of Climatic Variables and Land Use on the Actual Evapotranspiration Trend Using the SWAT Model in the Ajichi Basin. SHILAP Revista de lepidopterología. 26(3).
6.
Kalantari, Zahra, et al.. (2020). Effects of Water Level Decline in Lake Urmia, Iran, on Local Climate Conditions. Water. 12(8). 2153–2153. 30 indexed citations
7.
Schulz, Stephan, et al.. (2020). Climate change or irrigated agriculture – what drives the water level decline of Lake Urmia. Scientific Reports. 10(1). 236–236. 141 indexed citations
8.
9.
Jalilvand, Ehsan, et al.. (2019). Quantification of irrigation water using remote sensing of soil moisture in a semi-arid region. Remote Sensing of Environment. 231. 111226–111226. 160 indexed citations
10.
Mardi, Ali Hossein, Alexander B. MacDonald, Phu Nguyen, et al.. (2018). The Lake Urmia environmental disaster in Iran: A look at aerosol pollution. The Science of The Total Environment. 633. 42–49. 91 indexed citations
11.
Jalilvand, Ehsan, et al.. (2018). Estimating the drainage rate from surface soil moisture drydowns: Application of DfD model to in situ soil moisture data. Journal of Hydrology. 565. 489–501. 13 indexed citations
12.
Ahmadisharaf, Ebrahim & Massoud Tajrishy. (2015). Siting Detention Basins Using SWMM and Spatial Multi-Criteria Decision Making. SHILAP Revista de lepidopterología. 1 indexed citations
13.
Sima, Somayeh & Massoud Tajrishy. (2015). DEVELOPING WATER QUALITY MAPS OF A HYPER-SALINE LAKE USING SPATIAL INTERPOLATION METHODS. Scientia Iranica. 22(1). 30–46. 14 indexed citations
14.
Abrishamchi, Ahmad, et al.. (2013). Conflict Resolution of Water Resources Allocations Using the Game Theoretic Approach: The Case of Orumieh River Basin. SHILAP Revista de lepidopterología. 25(2). 48–57. 4 indexed citations
15.
Tajrishy, Massoud, et al.. (2012). Urban Water Management Considering Reclaimed Wastewater and Runoff as a New Water Resource for City of Tehran, Iran. SHILAP Revista de lepidopterología. 23(484). 29–42. 1 indexed citations
16.
Tajrishy, Massoud, et al.. (2010). Modeling of point and non-point source pollution of nitrate with SWAT in the Jajrood river watershed, Iran.. 19(2). 23–31. 6 indexed citations
17.
Abrishamchi, Ahmad, et al.. (2010). Spatial–temporal assessment and redesign of groundwater quality monitoring network: a case study. Environmental Monitoring and Assessment. 172(1-4). 263–273. 19 indexed citations
18.
Abrishamchi, Ahmad, et al.. (2007). Assessment of Residential Water Conservation due to Using Low-Flow Fixtures. SHILAP Revista de lepidopterología.
19.
Tajrishy, Massoud, et al.. (2007). Application of Conjunctive Nonlinear Model Based on Wavelet Transforms and Artificial Neural Networks to Drought Forecasting. AGU Fall Meeting Abstracts. 2007. 1 indexed citations
20.
Tajrishy, Massoud. (2003). Modeling Spatial Variability of Daily Rainfall in Southwest Iran. Scientia Iranica. 10(2). 2 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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