Rajesh Parekh

49 total papers · 1.1k total citations
33 papers, 599 citations indexed

About

Rajesh Parekh is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Rajesh Parekh has authored 33 papers receiving a total of 599 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 8 papers in Information Systems and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Rajesh Parekh's work include Neural Networks and Applications (11 papers), Data Mining Algorithms and Applications (6 papers) and Machine Learning and Algorithms (5 papers). Rajesh Parekh is often cited by papers focused on Neural Networks and Applications (11 papers), Data Mining Algorithms and Applications (6 papers) and Machine Learning and Algorithms (5 papers). Rajesh Parekh collaborates with scholars based in United States, India and France. Rajesh Parekh's co-authors include Vasant Honavar, Jihoon Yang, Ron Kohavi, Zijian Zheng, Llew Mason, Vineet Chaoji, Rushi Bhatt, Angela Han, Andrew Hatch and Adwait Ratnaparkhi and has published in prestigious journals such as Machine Learning, Advances in Therapy and Intelligent Data Analysis.

In The Last Decade

Rajesh Parekh

31 papers receiving 538 citations

Author Peers

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

Author						Papers	Cites
Rajesh Parekh	324	145	93	81	54	33	599
Yuming Ou	351 1.1×	184 1.3×	72 0.8×	27 0.3×	35 0.6×	31	562
Jun He	243 0.8×	210 1.4×	131 1.4×	29 0.4×	70 1.3×	47	538
Brij Masand	367 1.1×	334 2.3×	69 0.7×	106 1.3×	25 0.5×	22	597
Álvaro Tejeda-Lorente	255 0.8×	335 2.3×	87 0.9×	36 0.4×	81 1.5×	22	567
Yoon‐Joo Park	262 0.8×	310 2.1×	69 0.7×	79 1.0×	70 1.3×	22	551
Ahmad Baraani-Dastjerdi	255 0.8×	167 1.2×	31 0.3×	49 0.6×	75 1.4×	52	540
Hema Raghavan	485 1.5×	243 1.7×	95 1.0×	51 0.6×	37 0.7×	27	668
Morteza Zihayat	244 0.8×	321 2.2×	45 0.5×	41 0.5×	37 0.7×	42	516
Anísio Lacerda	264 0.8×	350 2.4×	125 1.3×	67 0.8×	84 1.6×	54	661
Amin Mantrach	285 0.9×	238 1.6×	98 1.1×	20 0.2×	49 0.9×	19	545

Countries citing papers authored by Rajesh Parekh

Since Specialization

Citations

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

Fields of papers citing papers by Rajesh Parekh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rajesh Parekh

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