Raj Kumar Patra

67 total papers · 517 total citations
30 papers, 160 citations indexed

About

Raj Kumar Patra is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition. According to data from OpenAlex, Raj Kumar Patra has authored 30 papers receiving a total of 160 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 8 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Raj Kumar Patra's work include COVID-19 diagnosis using AI (5 papers), Industrial Vision Systems and Defect Detection (3 papers) and Brain Tumor Detection and Classification (3 papers). Raj Kumar Patra is often cited by papers focused on COVID-19 diagnosis using AI (5 papers), Industrial Vision Systems and Defect Detection (3 papers) and Brain Tumor Detection and Classification (3 papers). Raj Kumar Patra collaborates with scholars based in India, Poland and United States. Raj Kumar Patra's co-authors include Nirmal Varghese Babu, Przemysław Falkowski‐Gilski, B. D. Parameshachari, Rohit Raja, Z. Łubniewski, Shrikant Tiwari, Rocío Pérez de Prado, Marcin Woźniak, K. Srujan Raju and Anupam Ghosh and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Remote Sensing.

In The Last Decade

Raj Kumar Patra

22 papers receiving 149 citations

Author Peers

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

Author						Papers	Cites
Raj Kumar Patra	67	25	20	17	16	30	160
Anika Tabassum	55 0.8×	12 0.5×	12 0.6×	9 0.5×	13 0.8×	40	224
Arun Solanki	43 0.6×	31 1.2×	17 0.8×	16 0.9×	9 0.6×	18	161
R. Srinivasan	72 1.1×	25 1.0×	23 1.1×	13 0.8×	6 0.4×	29	206
Nilesh Shelke	97 1.4×	22 0.9×	31 1.6×	8 0.5×	9 0.6×	44	210
Yana Mazwin Mohmad Hassim	116 1.7×	24 1.0×	34 1.7×	12 0.7×	8 0.5×	25	222
Jun Hou	93 1.4×	46 1.8×	36 1.8×	7 0.4×	7 0.4×	30	172
Miguel Botto-Tobar	32 0.5×	27 1.1×	25 1.3×	11 0.6×	37 2.3×	50	193
Tianqi Liu	73 1.1×	56 2.2×	32 1.6×	9 0.5×	7 0.4×	35	183
Lei Zhang	72 1.1×	43 1.7×	41 2.0×	9 0.5×	6 0.4×	25	204
Olamilekan Shobayo	32 0.5×	13 0.5×	13 0.7×	6 0.4×	20 1.3×	24	164

Countries citing papers authored by Raj Kumar Patra

Since Specialization

Citations

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

Fields of papers citing papers by Raj Kumar Patra

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Raj Kumar Patra

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