M. Kashif Gill

818 total citations
8 papers, 658 citations indexed

About

M. Kashif Gill is a scholar working on Environmental Engineering, Water Science and Technology and Civil and Structural Engineering. According to data from OpenAlex, M. Kashif Gill has authored 8 papers receiving a total of 658 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Environmental Engineering, 5 papers in Water Science and Technology and 2 papers in Civil and Structural Engineering. Recurrent topics in M. Kashif Gill's work include Hydrology and Watershed Management Studies (5 papers), Soil Moisture and Remote Sensing (5 papers) and Hydrological Forecasting Using AI (5 papers). M. Kashif Gill is often cited by papers focused on Hydrology and Watershed Management Studies (5 papers), Soil Moisture and Remote Sensing (5 papers) and Hydrological Forecasting Using AI (5 papers). M. Kashif Gill collaborates with scholars based in United States and Canada. M. Kashif Gill's co-authors include Mac McKee, Tirusew Asefa, Mariush Kemblowski, Yasir Kaheil, Luis Bastidas, Abedalrazq F. Khalil, L. A. Bastidas, Enrique Rosero and Martin McKee and has published in prestigious journals such as Water Resources Research, IEEE Transactions on Geoscience and Remote Sensing and JAWRA Journal of the American Water Resources Association.

In The Last Decade

M. Kashif Gill

8 papers receiving 613 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Kashif Gill United States 8 435 221 179 150 126 8 658
Hilde Vernieuwe Belgium 16 402 0.9× 254 1.1× 319 1.8× 77 0.5× 243 1.9× 30 742
Vijendra Kumar India 15 350 0.8× 319 1.4× 418 2.3× 116 0.8× 107 0.8× 43 885
Yiqing Guan China 16 386 0.9× 423 1.9× 364 2.0× 55 0.4× 92 0.7× 38 866
Yasir Kaheil United States 11 239 0.5× 209 0.9× 256 1.4× 58 0.4× 151 1.2× 17 514
Mohammad Taghi Alami Iran 15 682 1.6× 463 2.1× 356 2.0× 178 1.2× 84 0.7× 29 1.0k
Mahsa Hasanpour Kashani Iran 16 565 1.3× 371 1.7× 386 2.2× 95 0.6× 156 1.2× 30 989
Slavco Velickov Netherlands 6 299 0.7× 211 1.0× 146 0.8× 124 0.8× 50 0.4× 9 612
Thendiyath Roshni India 15 328 0.8× 292 1.3× 313 1.7× 101 0.7× 72 0.6× 70 689
J. Mahjoobi Iran 10 403 0.9× 125 0.6× 89 0.5× 130 0.9× 143 1.1× 14 784
Steven Weijs Canada 13 259 0.6× 395 1.8× 344 1.9× 101 0.7× 158 1.3× 33 754

Countries citing papers authored by M. Kashif Gill

Since Specialization
Citations

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

Fields of papers citing papers by M. Kashif Gill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Kashif Gill

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

All Works

8 of 8 papers shown
1.
Kaheil, Yasir, Enrique Rosero, M. Kashif Gill, Martin McKee, & L. A. Bastidas. (2008). Downscaling and Forecasting of Evapotranspiration Using a Synthetic Model of Wavelets and Support Vector Machines. IEEE Transactions on Geoscience and Remote Sensing. 46(9). 2692–2707. 45 indexed citations
2.
Kaheil, Yasir, M. Kashif Gill, Mac McKee, L. A. Bastidas, & Enrique Rosero. (2008). Downscaling and Assimilation of Surface Soil Moisture Using Ground Truth Measurements. IEEE Transactions on Geoscience and Remote Sensing. 46(5). 1375–1384. 64 indexed citations
3.
Gill, M. Kashif, Mariush Kemblowski, & Mac McKee. (2007). Soil Moisture Data Assimilation Using Support Vector Machines and Ensemble Kalman Filter1. JAWRA Journal of the American Water Resources Association. 43(4). 1004–1015. 44 indexed citations
4.
Gill, M. Kashif, Tirusew Asefa, Yasir Kaheil, & Mac McKee. (2007). Effect of missing data on performance of learning algorithms for hydrologic predictions: Implications to an imputation technique. Water Resources Research. 43(7). 68 indexed citations
5.
Gill, M. Kashif, Yasir Kaheil, Abedalrazq F. Khalil, Mac McKee, & Luis Bastidas. (2006). Multiobjective particle swarm optimization for parameter estimation in hydrology. Water Resources Research. 42(7). 158 indexed citations
6.
Gill, M. Kashif, Tirusew Asefa, Mariush Kemblowski, & Mac McKee. (2006). SOIL MOISTURE PREDICTION USING SUPPORT VECTOR MACHINES. JAWRA Journal of the American Water Resources Association. 42(4). 1033–1046. 245 indexed citations
7.
Kaheil, Yasir, M. Kashif Gill, Mac McKee, & Luis Bastidas. (2006). A new Bayesian recursive technique for parameter estimation. Water Resources Research. 42(8). 11 indexed citations
8.
Gill, M. Kashif, et al.. (2005). New applications for information fusion and soil moisture forecasting. 7 pp.–7 pp.. 23 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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