Mohammad Abid Khan

39 total papers · 421 total citations
30 papers, 335 citations indexed

About

Mohammad Abid Khan is a scholar working on Artificial Intelligence, Information Systems and Computational Theory and Mathematics. According to data from OpenAlex, Mohammad Abid Khan has authored 30 papers receiving a total of 335 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Artificial Intelligence, 4 papers in Information Systems and 2 papers in Computational Theory and Mathematics. Recurrent topics in Mohammad Abid Khan's work include Natural Language Processing Techniques (17 papers), Topic Modeling (16 papers) and Sentiment Analysis and Opinion Mining (9 papers). Mohammad Abid Khan is often cited by papers focused on Natural Language Processing Techniques (17 papers), Topic Modeling (16 papers) and Sentiment Analysis and Opinion Mining (9 papers). Mohammad Abid Khan collaborates with scholars based in Pakistan, United States and China. Mohammad Abid Khan's co-authors include Neelam Mukhtar, Rahman Ali, Shah Nazir, Amjad Ali, Ihsan Rabbi, Markus Dickinson, Rashid Ahmad, Sandra Kuebler, Sandra Kübler and Muhammad Bilal and has published in prestigious journals such as SHILAP Revista de lepidopterología, Artificial Intelligence Review and Telematics and Informatics.

In The Last Decade

Mohammad Abid Khan

29 papers receiving 318 citations

Author Peers

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

Author Last Decade Papers Cites
Mohammad Abid Khan 315 36 17 15 11 30 335
Jun Li 278 0.9× 73 2.0× 28 1.6× 15 1.0× 12 1.1× 25 333
Marc Franco-Salvador 315 1.0× 59 1.6× 10 0.6× 13 0.9× 15 1.4× 24 358
Bin Lu 258 0.8× 44 1.2× 35 2.1× 12 0.8× 4 0.4× 26 374
Nina Tahmasebi 315 1.0× 43 1.2× 22 1.3× 8 0.5× 6 0.5× 42 390
Jonathan Juncal-Martínez 256 0.8× 77 2.1× 48 2.8× 26 1.7× 8 0.7× 15 322
Ferran Plà 342 1.1× 40 1.1× 37 2.2× 8 0.5× 21 1.9× 42 401
Neelam Mukhtar 242 0.8× 47 1.3× 18 1.1× 16 1.1× 11 1.0× 18 318
Juan Antonio Lossio-Ventura 216 0.7× 70 1.9× 40 2.4× 8 0.5× 27 2.5× 37 384
Tomáš Brychcín 306 1.0× 44 1.2× 18 1.1× 8 0.5× 5 0.5× 23 326
Grégoire Winterstein 245 0.8× 36 1.0× 29 1.7× 17 1.1× 6 0.5× 21 308

Countries citing papers authored by Mohammad Abid Khan

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad Abid Khan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mohammad Abid Khan. 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 Mohammad Abid Khan. The network helps show where Mohammad Abid Khan may publish in the future.

Co-authorship network of co-authors of Mohammad Abid Khan

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Abid Khan. A scholar is included among the top collaborators of Mohammad Abid Khan 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 Mohammad Abid Khan. Mohammad Abid Khan 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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