Udit Mamodiya

165 total papers · 489 total citations
45 papers, 177 citations indexed

About

Udit Mamodiya is a scholar working on Artificial Intelligence, Renewable Energy, Sustainability and the Environment and Electrical and Electronic Engineering. According to data from OpenAlex, Udit Mamodiya has authored 45 papers receiving a total of 177 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 12 papers in Renewable Energy, Sustainability and the Environment and 11 papers in Electrical and Electronic Engineering. Recurrent topics in Udit Mamodiya's work include Photovoltaic System Optimization Techniques (12 papers), Solar Radiation and Photovoltaics (10 papers) and Solar Thermal and Photovoltaic Systems (6 papers). Udit Mamodiya is often cited by papers focused on Photovoltaic System Optimization Techniques (12 papers), Solar Radiation and Photovoltaics (10 papers) and Solar Thermal and Photovoltaic Systems (6 papers). Udit Mamodiya collaborates with scholars based in India, Saudi Arabia and China. Udit Mamodiya's co-authors include Ashish Tiwari, Sarvesh Kumar, Dinesh Goyal, Prabhat Kumar Srivastava, Julian Webber, Abolfazl Mehbodniya, Awal Halifa, Dharmendra Kumar Singh, Sudhanshu Maurya and Sandeep Kumar Sunori and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.

In The Last Decade

Udit Mamodiya

31 papers receiving 156 citations

Author Peers

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

Author						Papers	Cites
Udit Mamodiya	65	45	43	36	34	45	177
Chandani Sharma	49 0.8×	39 0.9×	30 0.7×	36 1.0×	18 0.5×	38	161
Ankush Ghosh	53 0.8×	53 1.2×	32 0.7×	17 0.5×	47 1.4×	47	254
G. Manikandan	48 0.7×	42 0.9×	58 1.3×	13 0.4×	58 1.7×	29	215
Vugar Abdullayev	30 0.5×	38 0.8×	43 1.0×	8 0.2×	32 0.9×	38	198
K. Praghash	61 0.9×	82 1.8×	86 2.0×	10 0.3×	53 1.6×	30	221
Muhammad Ishaq	71 1.1×	126 2.8×	10 0.2×	56 1.6×	14 0.4×	37	256
T. Anuradha	44 0.7×	140 3.1×	47 1.1×	67 1.9×	24 0.7×	68	252
Muhammad Tayyab	38 0.6×	70 1.6×	35 0.8×	16 0.4×	23 0.7×	25	193
N. Bharathiraja	69 1.1×	53 1.2×	48 1.1×	9 0.3×	60 1.8×	43	241
N. Rajkumar	29 0.4×	62 1.4×	14 0.3×	20 0.6×	31 0.9×	42	198

Countries citing papers authored by Udit Mamodiya

Since Specialization

Citations

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

Fields of papers citing papers by Udit Mamodiya

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Udit Mamodiya

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