Ram Krishn Mishra

24 total papers · 737 total citations
20 papers, 477 citations indexed

About

Ram Krishn Mishra is a scholar working on Artificial Intelligence, Sociology and Political Science and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ram Krishn Mishra has authored 20 papers receiving a total of 477 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 6 papers in Sociology and Political Science and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ram Krishn Mishra's work include Sentiment Analysis and Opinion Mining (5 papers), Digital Marketing and Social Media (5 papers) and Hand Gesture Recognition Systems (3 papers). Ram Krishn Mishra is often cited by papers focused on Sentiment Analysis and Opinion Mining (5 papers), Digital Marketing and Social Media (5 papers) and Hand Gesture Recognition Systems (3 papers). Ram Krishn Mishra collaborates with scholars based in United Arab Emirates, India and Bahrain. Ram Krishn Mishra's co-authors include Siddhaling Urolagin, J. Angel Arul Jothi, Yogesh K. Dwivedi, Nishad Nawaz, Amit Kumar Mishra, Sita Rani, Aman Kataria, Pankaj Bhambri, Pramod Kumar and Mohammed Usman and has published in prestigious journals such as IEEE Access, Sustainability and Applied Sciences.

In The Last Decade

Ram Krishn Mishra

19 papers receiving 441 citations

Author Peers

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

Author Last Decade Papers Cites
Ram Krishn Mishra 194 119 100 44 33 20 477
Silvana Aciar 136 0.7× 88 0.7× 203 2.0× 59 1.3× 12 0.4× 40 493
Robert P. Minch 100 0.5× 151 1.3× 116 1.2× 13 0.3× 18 0.5× 25 419
Elin K. Jacob 179 0.9× 94 0.8× 177 1.8× 45 1.0× 23 0.7× 32 526
Chonlameth Arpnikanondt 178 0.9× 141 1.2× 47 0.5× 38 0.9× 45 1.4× 27 450
Priscila Valdiviezo-Díaz 141 0.7× 100 0.8× 193 1.9× 53 1.2× 7 0.2× 31 496
Irene Celino 198 1.0× 31 0.3× 140 1.4× 73 1.7× 29 0.9× 54 441
Paul Shabajee 75 0.4× 56 0.5× 108 1.1× 37 0.8× 71 2.2× 57 432
Yiming Guo 41 0.2× 47 0.4× 107 1.1× 35 0.8× 36 1.1× 19 541
Nico Herzberg 163 0.8× 39 0.3× 154 1.5× 62 1.4× 29 0.9× 10 531
Lachlan Urquhart 114 0.6× 171 1.4× 114 1.1× 37 0.8× 103 3.1× 52 486

Countries citing papers authored by Ram Krishn Mishra

Since Specialization
Citations

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

Fields of papers citing papers by Ram Krishn Mishra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ram Krishn Mishra

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