Christopher S. Mellish

100 total papers · 428 total citations
20 papers, 224 citations indexed

About

Christopher S. Mellish is a scholar working on Artificial Intelligence, Experimental and Cognitive Psychology and Information Systems. According to data from OpenAlex, Christopher S. Mellish has authored 20 papers receiving a total of 224 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 4 papers in Experimental and Cognitive Psychology and 2 papers in Information Systems. Recurrent topics in Christopher S. Mellish's work include Speech and dialogue systems (6 papers), Topic Modeling (5 papers) and Natural Language Processing Techniques (5 papers). Christopher S. Mellish is often cited by papers focused on Speech and dialogue systems (6 papers), Topic Modeling (5 papers) and Natural Language Processing Techniques (5 papers). Christopher S. Mellish collaborates with scholars based in United Kingdom, United States and Sweden. Christopher S. Mellish's co-authors include William F. Clocksin, Jean Carletta, Mick O’Donnell, Jon Oberlander, Alistair Knott, John Farrington, Nirwan Sharma, Xavier Lambin, Peter Edwards and René van der Wal and has published in prestigious journals such as Journal of Environmental Management, Cognitive Science and Journal of Pragmatics.

In The Last Decade

Christopher S. Mellish

14 papers receiving 187 citations

Author Peers

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

Author Last Decade Papers Cites
Christopher S. Mellish 140 37 30 25 21 20 224
Dale Gerdemann 150 1.1× 26 0.7× 25 0.8× 61 2.4× 20 1.0× 20 184
Torbjörn Lager 201 1.4× 46 1.2× 46 1.5× 26 1.0× 28 1.3× 18 273
Baden Hughes 166 1.2× 29 0.8× 34 1.1× 7 0.3× 15 0.7× 32 226
Michael T. Grinder 77 0.6× 27 0.7× 14 0.5× 44 1.8× 54 2.6× 16 282
Rémi Zajac 284 2.0× 47 1.3× 13 0.4× 26 1.0× 18 0.9× 36 320
Rani Nelken 201 1.4× 28 0.8× 16 0.5× 17 0.7× 6 0.3× 18 234
Richard E. Cullingford 256 1.8× 36 1.0× 15 0.5× 12 0.5× 5 0.2× 13 320
Rüdi Lutz 92 0.7× 114 3.1× 20 0.7× 19 0.8× 58 2.8× 21 298
Jan Daciuk 241 1.7× 24 0.6× 14 0.5× 102 4.1× 9 0.4× 16 276
Stephen F. Weiss 207 1.5× 67 1.8× 29 1.0× 16 0.6× 10 0.5× 21 324

Countries citing papers authored by Christopher S. Mellish

Since Specialization
Citations

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

Fields of papers citing papers by Christopher S. Mellish

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher S. Mellish. 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 Christopher S. Mellish. The network helps show where Christopher S. Mellish may publish in the future.

Co-authorship network of co-authors of Christopher S. Mellish

This figure shows the co-authorship network connecting the top 25 collaborators of Christopher S. Mellish. A scholar is included among the top collaborators of Christopher S. Mellish 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 Christopher S. Mellish. Christopher S. Mellish 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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