Sushil K. Singh

171 total papers · 1.2k total citations
111 papers, 896 citations indexed

About

Sushil K. Singh is a scholar working on Environmental Engineering, Mechanical Engineering and Ocean Engineering. According to data from OpenAlex, Sushil K. Singh has authored 111 papers receiving a total of 896 indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Environmental Engineering, 52 papers in Mechanical Engineering and 45 papers in Ocean Engineering. Recurrent topics in Sushil K. Singh's work include Groundwater flow and contamination studies (72 papers), Hydraulic Fracturing and Reservoir Analysis (49 papers) and Reservoir Engineering and Simulation Methods (41 papers). Sushil K. Singh is often cited by papers focused on Groundwater flow and contamination studies (72 papers), Hydraulic Fracturing and Reservoir Analysis (49 papers) and Reservoir Engineering and Simulation Methods (41 papers). Sushil K. Singh collaborates with scholars based in India, United States and Russia. Sushil K. Singh's co-authors include Prabhata K. Swamee, K. G. Ranga Raju, R. J. Garde, M.B. Beck, Gaurav Srivastava, Manas Roy, Mainak Das, Sabyasachi Sarkar, C. S. P. Ojha and Deepu Philip and has published in prestigious journals such as Water Resources Research, Journal of Hydrology and RSC Advances.

In The Last Decade

Sushil K. Singh

104 papers receiving 856 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Sushil K. Singh 578 330 273 243 219 111 896
Ali Al‐Maktoumi 522 0.9× 111 0.3× 221 0.8× 226 0.9× 214 1.0× 95 977
Kazumasa Ito 230 0.4× 114 0.3× 165 0.6× 172 0.7× 116 0.5× 66 882
Maria Giovanna Tanda 428 0.7× 76 0.2× 206 0.8× 242 1.0× 151 0.7× 49 753
Ekkehard Holzbecher 360 0.6× 145 0.4× 97 0.4× 102 0.4× 124 0.6× 71 798
Ching‐Sheng Huang 351 0.6× 215 0.7× 112 0.4× 196 0.8× 274 1.3× 55 757
Simin Jiang 267 0.5× 96 0.3× 95 0.3× 308 1.3× 196 0.9× 52 975
Keith J. Halford 626 1.1× 171 0.5× 141 0.5× 296 1.2× 81 0.4× 54 760
Éric Pirard 95 0.2× 343 1.0× 166 0.6× 177 0.7× 140 0.6× 98 1.1k
Z. Fred Zhang 659 1.1× 69 0.2× 190 0.7× 136 0.6× 570 2.6× 56 986
Hossein Davarzani 303 0.5× 133 0.4× 305 1.1× 56 0.2× 118 0.5× 53 767

Countries citing papers authored by Sushil K. Singh

Since Specialization
Citations

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

Fields of papers citing papers by Sushil K. Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sushil K. Singh. 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 Sushil K. Singh. The network helps show where Sushil K. Singh may publish in the future.

Co-authorship network of co-authors of Sushil K. Singh

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

All Works

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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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