Sreenu Sreekumar

52 total papers · 594 total citations
38 papers, 468 citations indexed

About

Sreenu Sreekumar is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Sreenu Sreekumar has authored 38 papers receiving a total of 468 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Electrical and Electronic Engineering, 9 papers in Artificial Intelligence and 6 papers in Management Science and Operations Research. Recurrent topics in Sreenu Sreekumar's work include Energy Load and Power Forecasting (26 papers), Electric Power System Optimization (17 papers) and Solar Radiation and Photovoltaics (8 papers). Sreenu Sreekumar is often cited by papers focused on Energy Load and Power Forecasting (26 papers), Electric Power System Optimization (17 papers) and Solar Radiation and Photovoltaics (8 papers). Sreenu Sreekumar collaborates with scholars based in India, United States and Norway. Sreenu Sreekumar's co-authors include Rohit Bhakar, Kailash Chand Sharma, Rajesh Kumar, Aneesh Mathew, Sumit Khandelwal, S.S. Mahapatra, Nivedita Kaul, Ankur Singh Rana, Sumanth Yamujala and A. Sujil and has published in prestigious journals such as SHILAP Revista de lepidopterología, Renewable and Sustainable Energy Reviews and Applied Energy.

In The Last Decade

Sreenu Sreekumar

32 papers receiving 451 citations

Author Peers

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

Author						Papers	Cites
Sreenu Sreekumar	250	142	82	67	67	38	468
Emil Pelikán	218 0.9×	205 1.4×	94 1.1×	157 2.3×	62 0.9×	26	547
Lin Li	128 0.5×	103 0.7×	83 1.0×	101 1.5×	62 0.9×	41	536
Jiaxin Guo	201 0.8×	71 0.5×	87 1.1×	27 0.4×	150 2.2×	23	546
Mohamed Tarek Khadir	173 0.7×	62 0.4×	128 1.6×	34 0.5×	24 0.4×	52	552
Ahmad Mahir Razali	152 0.6×	206 1.5×	71 0.9×	66 1.0×	31 0.5×	43	491
Hongbin Dai	85 0.3×	212 1.5×	80 1.0×	182 2.7×	59 0.9×	19	549
Jeong Kim	205 0.8×	78 0.5×	136 1.7×	27 0.4×	46 0.7×	20	456
Manoel H. N. Marinho	289 1.2×	99 0.7×	111 1.4×	44 0.7×	19 0.3×	49	466
Yiyan Li	266 1.1×	48 0.3×	77 0.9×	26 0.4×	16 0.2×	37	453
Huixin Ma	270 1.1×	93 0.7×	140 1.7×	38 0.6×	20 0.3×	14	456

Countries citing papers authored by Sreenu Sreekumar

Since Specialization

Citations

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

Fields of papers citing papers by Sreenu Sreekumar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sreenu Sreekumar

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