Satyasis Mishra

143 total papers · 750 total citations
91 papers, 468 citations indexed

About

Satyasis Mishra is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Plant Science. According to data from OpenAlex, Satyasis Mishra has authored 91 papers receiving a total of 468 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 24 papers in Electrical and Electronic Engineering and 20 papers in Plant Science. Recurrent topics in Satyasis Mishra's work include Brain Tumor Detection and Classification (18 papers), Plant Physiology and Cultivation Studies (16 papers) and Machine Learning and ELM (15 papers). Satyasis Mishra is often cited by papers focused on Brain Tumor Detection and Classification (18 papers), Plant Physiology and Cultivation Studies (16 papers) and Machine Learning and ELM (15 papers). Satyasis Mishra collaborates with scholars based in India, Ethiopia and United States. Satyasis Mishra's co-authors include Pravat Kumar Rout, Indu Sekhar Samanta, P.K. Dash, Birendra Biswal, Ranjeeta Bisoi, Priyadarshi Kanungo, Mihir Narayan Mohanty, Manas Ranjan Senapati, Abhishek Das and Anshuman Singh and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Expert Systems with Applications.

In The Last Decade

Satyasis Mishra

73 papers receiving 442 citations

Author Peers

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

Author						Papers	Cites
Satyasis Mishra	139	113	106	72	59	91	468
U Andayani	88 0.6×	73 0.6×	77 0.7×	55 0.8×	23 0.4×	67	496
Hend Khalid Alkahtani	89 0.6×	161 1.4×	53 0.5×	29 0.4×	52 0.9×	58	535
Bhupesh Kumar Singh	66 0.5×	119 1.1×	139 1.3×	77 1.1×	20 0.3×	38	532
Manjunathan Alagarsamy	187 1.3×	78 0.7×	46 0.4×	58 0.8×	11 0.2×	82	548
Richa Gupta	65 0.5×	88 0.8×	108 1.0×	69 1.0×	21 0.4×	85	468
K. Suresh Kumar	45 0.3×	61 0.5×	40 0.4×	61 0.8×	27 0.5×	57	411
Md. Jakir Hossen	124 0.9×	117 1.0×	105 1.0×	32 0.4×	17 0.3×	99	540
Hengyi Li	73 0.5×	145 1.3×	269 2.5×	37 0.5×	23 0.4×	46	513
T. Jayasankar	75 0.5×	120 1.1×	76 0.7×	60 0.8×	31 0.5×	56	516
Xuebin Yue	60 0.4×	103 0.9×	226 2.1×	30 0.4×	20 0.3×	44	421

Countries citing papers authored by Satyasis Mishra

Since Specialization

Citations

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

Fields of papers citing papers by Satyasis Mishra

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Satyasis Mishra

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