Ajaya Kumar Parida

39 total papers · 488 total citations
29 papers, 343 citations indexed

About

Ajaya Kumar Parida is a scholar working on Electrical and Electronic Engineering, Management Science and Operations Research and Artificial Intelligence. According to data from OpenAlex, Ajaya Kumar Parida has authored 29 papers receiving a total of 343 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Electrical and Electronic Engineering, 10 papers in Management Science and Operations Research and 8 papers in Artificial Intelligence. Recurrent topics in Ajaya Kumar Parida's work include Energy Load and Power Forecasting (12 papers), Stock Market Forecasting Methods (10 papers) and Advanced machining processes and optimization (6 papers). Ajaya Kumar Parida is often cited by papers focused on Energy Load and Power Forecasting (12 papers), Stock Market Forecasting Methods (10 papers) and Advanced machining processes and optimization (6 papers). Ajaya Kumar Parida collaborates with scholars based in India, United Kingdom and China. Ajaya Kumar Parida's co-authors include Ranjeeta Bisoi, P.K. Dash, Bharat Chandra Routara, Ashok Kumar Sahoo, Sachi Nandan Mohanty, Subhendu Kumar Pani, Xiaobo Zhang, Xiaochun Cheng, Bin Dong and Satyasis Mishra and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Applied Soft Computing.

In The Last Decade

Ajaya Kumar Parida

21 papers receiving 324 citations

Author Peers

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

Author						Papers	Cites
Ajaya Kumar Parida	168	146	79	78	55	29	343
Rafael Coradi Leme	244 1.5×	101 0.7×	32 0.4×	46 0.6×	30 0.5×	33	398
Chao Jing	100 0.6×	132 0.9×	116 1.5×	6 0.1×	63 1.1×	25	396
Furao Shen	100 0.6×	139 1.0×	140 1.8×	6 0.1×	64 1.2×	21	353
Junjie Wang	133 0.8×	228 1.6×	37 0.5×	12 0.2×	81 1.5×	32	399
Yen-Tseng Hsu	110 0.7×	286 2.0×	73 0.9×	9 0.1×	23 0.4×	18	391
Christian Müller	56 0.3×	86 0.6×	102 1.3×	47 0.6×	22 0.4×	37	380
Yijun He	127 0.8×	9 0.1×	78 1.0×	53 0.7×	32 0.6×	24	372
Hao Jia	147 0.9×	28 0.2×	30 0.4×	26 0.3×	36 0.7×	25	365
Soner Haldenbılen	165 1.0×	65 0.4×	72 0.9×	7 0.1×	44 0.8×	21	363
Om Pal	41 0.2×	57 0.4×	60 0.8×	13 0.2×	17 0.3×	35	402

Countries citing papers authored by Ajaya Kumar Parida

Since Specialization

Citations

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

Fields of papers citing papers by Ajaya Kumar Parida

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ajaya Kumar Parida. 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 Ajaya Kumar Parida. The network helps show where Ajaya Kumar Parida may publish in the future.

Co-authorship network of co-authors of Ajaya Kumar Parida

This figure shows the co-authorship network connecting the top 25 collaborators of Ajaya Kumar Parida. A scholar is included among the top collaborators of Ajaya Kumar Parida 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 Ajaya Kumar Parida. Ajaya Kumar Parida 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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