Jagadeesh Anmala

33 total papers · 540 total citations
24 papers, 394 citations indexed

About

Jagadeesh Anmala is a scholar working on Environmental Engineering, Water Science and Technology and Civil and Structural Engineering. According to data from OpenAlex, Jagadeesh Anmala has authored 24 papers receiving a total of 394 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Environmental Engineering, 16 papers in Water Science and Technology and 3 papers in Civil and Structural Engineering. Recurrent topics in Jagadeesh Anmala's work include Hydrological Forecasting Using AI (15 papers), Water Quality and Pollution Assessment (11 papers) and Water Quality Monitoring Technologies (8 papers). Jagadeesh Anmala is often cited by papers focused on Hydrological Forecasting Using AI (15 papers), Water Quality and Pollution Assessment (11 papers) and Water Quality Monitoring Technologies (8 papers). Jagadeesh Anmala collaborates with scholars based in India, United States and Czechia. Jagadeesh Anmala's co-authors include Rao S. Govindaraju, Bin Zhang, Abhijit Mukherjee, Murari R. R. Varma, K. Rajitha, Ouida W. Meier, Scott A. Grubbs, Albert J. Meier, Vivek Kapoor and Chandu Parimi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Structural Engineering and Process Safety and Environmental Protection.

In The Last Decade

Jagadeesh Anmala

24 papers receiving 365 citations

Author Peers

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

Author						Papers	Cites
Jagadeesh Anmala	250	223	74	60	40	24	394
Jean-Baptiste Aubin	156 0.6×	135 0.6×	32 0.4×	53 0.9×	34 0.8×	19	444
Karan Singh	136 0.5×	116 0.5×	141 1.9×	38 0.6×	19 0.5×	20	377
Pengxiao Zhou	122 0.5×	196 0.9×	44 0.6×	64 1.1×	36 0.9×	14	332
Abdul Qayoom Dar	136 0.5×	145 0.7×	41 0.6×	165 2.8×	36 0.9×	40	418
Bedri Kurtuluş	171 0.7×	126 0.6×	33 0.4×	52 0.9×	60 1.5×	29	359
Omar Wani	177 0.7×	194 0.9×	71 1.0×	173 2.9×	20 0.5×	17	384
Lakhdar Djemili	159 0.6×	154 0.7×	83 1.1×	133 2.2×	54 1.4×	27	371
Hessam Najafi	272 1.1×	188 0.8×	25 0.3×	104 1.7×	49 1.2×	16	417
Willem Jan Zaadnoordijk	305 1.2×	154 0.7×	63 0.9×	56 0.9×	19 0.5×	32	435
Ammar Hatem Kamel	185 0.7×	119 0.5×	42 0.6×	112 1.9×	30 0.8×	31	367

Countries citing papers authored by Jagadeesh Anmala

Since Specialization

Citations

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

Fields of papers citing papers by Jagadeesh Anmala

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jagadeesh Anmala

This figure shows the co-authorship network connecting the top 25 collaborators of Jagadeesh Anmala. A scholar is included among the top collaborators of Jagadeesh Anmala 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 Jagadeesh Anmala. Jagadeesh Anmala 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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