Ramakar Jha

99 total papers · 1.6k total citations
67 papers, 1.1k citations indexed

About

Ramakar Jha is a scholar working on Water Science and Technology, Environmental Engineering and Global and Planetary Change. According to data from OpenAlex, Ramakar Jha has authored 67 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Water Science and Technology, 28 papers in Environmental Engineering and 26 papers in Global and Planetary Change. Recurrent topics in Ramakar Jha's work include Hydrology and Watershed Management Studies (24 papers), Flood Risk Assessment and Management (18 papers) and Hydrological Forecasting Using AI (12 papers). Ramakar Jha is often cited by papers focused on Hydrology and Watershed Management Studies (24 papers), Flood Risk Assessment and Management (18 papers) and Hydrological Forecasting Using AI (12 papers). Ramakar Jha collaborates with scholars based in India, United States and Germany. Ramakar Jha's co-authors include Bibhuti Bhusan Sahoo, Klaus Baier, Anshuman Singh, Deepak Kumar, Rafig Azzam, C. S. P. Ojha, Karamjit Bhatia, Vijay P. Singh, Subhankar Karmakar and Venkappayya R. Desai and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Science and Pollution Research and Hydrological Processes.

In The Last Decade

Ramakar Jha

62 papers receiving 1.0k citations

Author Peers

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

Author Last Decade Papers Cites
Ramakar Jha 561 543 410 140 104 67 1.1k
Nam Won Kim 890 1.6× 666 1.2× 575 1.4× 98 0.7× 98 0.9× 68 1.3k
Youssef Brouziyne 506 0.9× 423 0.8× 339 0.8× 99 0.7× 67 0.6× 44 1.0k
Andrew Hughes 473 0.8× 489 0.9× 327 0.8× 347 2.5× 67 0.6× 92 1.4k
Darshan Mehta 448 0.8× 469 0.9× 651 1.6× 82 0.6× 79 0.8× 59 1.1k
Stefan Broda 466 0.8× 646 1.2× 273 0.7× 220 1.6× 91 0.9× 25 1.2k
Khamis Naba Sayl 616 1.1× 998 1.8× 669 1.6× 64 0.5× 99 1.0× 46 1.4k
Mohammad Taghi Aalami 573 1.0× 649 1.2× 293 0.7× 57 0.4× 73 0.7× 42 1.1k
Xiankui Zeng 306 0.5× 405 0.7× 182 0.4× 150 1.1× 68 0.7× 60 1.2k
Paul Johnston 373 0.7× 443 0.8× 363 0.9× 169 1.2× 221 2.1× 75 1.3k
Tanja Liesch 524 0.9× 658 1.2× 330 0.8× 248 1.8× 38 0.4× 35 1.1k

Countries citing papers authored by Ramakar Jha

Since Specialization
Citations

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

Fields of papers citing papers by Ramakar Jha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ramakar Jha

This figure shows the co-authorship network connecting the top 25 collaborators of Ramakar Jha. A scholar is included among the top collaborators of Ramakar Jha 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 Ramakar Jha. Ramakar Jha 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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2026