Lalit Mohan Goyal

74 total papers · 1.9k total citations
41 papers, 1.1k citations indexed

About

Lalit Mohan Goyal is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Lalit Mohan Goyal has authored 41 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 11 papers in Information Systems and 10 papers in Computer Vision and Pattern Recognition. Recurrent topics in Lalit Mohan Goyal's work include Data Mining Algorithms and Applications (6 papers), Data Management and Algorithms (3 papers) and Imbalanced Data Classification Techniques (3 papers). Lalit Mohan Goyal is often cited by papers focused on Data Mining Algorithms and Applications (6 papers), Data Management and Algorithms (3 papers) and Imbalanced Data Classification Techniques (3 papers). Lalit Mohan Goyal collaborates with scholars based in India, United States and Italy. Lalit Mohan Goyal's co-authors include Mamta Mittal, D. Jude Hemanth, Amit Verma, Iqbaldeep Kaur, Sudipta Roy, Muhammad Attique Khan, Jasleen Kaur Sethi, Suresh Chandra Satapathy, Tai-hoon Kim and Aman Agarwal and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.

In The Last Decade

Lalit Mohan Goyal

39 papers receiving 1.0k citations

Author Peers

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

Author Last Decade Papers Cites
Lalit Mohan Goyal 341 319 148 140 133 41 1.1k
Gaurav Gupta 241 0.7× 364 1.1× 139 0.9× 168 1.2× 218 1.6× 88 1.4k
Mona Jamjoom 198 0.6× 348 1.1× 103 0.7× 136 1.0× 95 0.7× 71 954
Hanan Aljuaid 306 0.9× 535 1.7× 190 1.3× 72 0.5× 209 1.6× 70 1.3k
Junaid Rashid 188 0.6× 342 1.1× 147 1.0× 134 1.0× 159 1.2× 70 943
Sapna Juneja 155 0.5× 334 1.0× 248 1.7× 75 0.5× 86 0.6× 79 1.1k
Madallah Alruwaili 176 0.5× 323 1.0× 103 0.7× 70 0.5× 202 1.5× 58 955
Irina V. Pustokhina 284 0.8× 364 1.1× 224 1.5× 75 0.5× 115 0.9× 64 1.3k
Tahira Nazir 478 1.4× 445 1.4× 79 0.5× 251 1.8× 460 3.5× 53 1.5k
Denis A. Pustokhin 284 0.8× 358 1.1× 217 1.5× 75 0.5× 114 0.9× 56 1.2k
Saad Alanazi 143 0.4× 368 1.2× 132 0.9× 59 0.4× 163 1.2× 84 1.0k

Countries citing papers authored by Lalit Mohan Goyal

Since Specialization
Citations

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

Fields of papers citing papers by Lalit Mohan Goyal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lalit Mohan Goyal. 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 Lalit Mohan Goyal. The network helps show where Lalit Mohan Goyal may publish in the future.

Co-authorship network of co-authors of Lalit Mohan Goyal

This figure shows the co-authorship network connecting the top 25 collaborators of Lalit Mohan Goyal. A scholar is included among the top collaborators of Lalit Mohan Goyal 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 Lalit Mohan Goyal. Lalit Mohan Goyal 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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