Jeff Mitchell

2.0k total citations · 2 hit papers
12 papers, 1.1k citations indexed

About

Jeff Mitchell is a scholar working on Artificial Intelligence, Cultural Studies and Molecular Biology. According to data from OpenAlex, Jeff Mitchell has authored 12 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, 2 papers in Cultural Studies and 1 paper in Molecular Biology. Recurrent topics in Jeff Mitchell's work include Topic Modeling (11 papers), Natural Language Processing Techniques (10 papers) and Speech and dialogue systems (5 papers). Jeff Mitchell is often cited by papers focused on Topic Modeling (11 papers), Natural Language Processing Techniques (10 papers) and Speech and dialogue systems (5 papers). Jeff Mitchell collaborates with scholars based in United Kingdom and Japan. Jeff Mitchell's co-authors include Mirella Lapata, Sebastian Riedel, Pontus Stenetorp, Johannes Welbl, Frank Keller, Vera Demberg, Jeffrey S. Bowers, Mark Steedman, Jesús Martínez del Rincón and Niall McLaughlin and has published in prestigious journals such as Cognitive Science, Computers & Security and Edinburgh Research Explorer (University of Edinburgh).

In The Last Decade

Jeff Mitchell

11 papers receiving 1.0k citations

Hit Papers

Composition in Distributional Models of Semantics 2008 2026 2014 2020 2010 2008 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jeff Mitchell United Kingdom 7 1.0k 93 86 71 64 12 1.1k
Ryan Cotterell United States 22 1.3k 1.3× 201 2.2× 88 1.0× 65 0.9× 54 0.8× 130 1.5k
Roberto Zamparelli Italy 14 1.2k 1.2× 164 1.8× 98 1.1× 44 0.6× 122 1.9× 36 1.5k
Gemma Boleda Spain 16 818 0.8× 115 1.2× 42 0.5× 38 0.5× 71 1.1× 54 995
Katrin Erk United States 26 1.8k 1.8× 146 1.6× 52 0.6× 108 1.5× 75 1.2× 84 2.0k
Shuly Wintner Israel 18 967 0.9× 97 1.0× 48 0.6× 60 0.8× 40 0.6× 96 1.1k
C. Brew United States 19 821 0.8× 63 0.7× 47 0.5× 129 1.8× 70 1.1× 64 1.0k
Micha Elsner United States 16 783 0.8× 67 0.7× 26 0.3× 106 1.5× 78 1.2× 46 922
Kimmo Koskenniemi Finland 14 994 1.0× 72 0.8× 32 0.4× 80 1.1× 108 1.7× 29 1.2k
Ian Tenney United States 11 791 0.8× 186 2.0× 40 0.5× 102 1.4× 22 0.3× 13 951
Eros Zanchetta Italy 3 712 0.7× 29 0.3× 71 0.8× 75 1.1× 93 1.5× 4 872

Countries citing papers authored by Jeff Mitchell

Since Specialization
Citations

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

Fields of papers citing papers by Jeff Mitchell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeff Mitchell

This figure shows the co-authorship network connecting the top 25 collaborators of Jeff Mitchell. A scholar is included among the top collaborators of Jeff Mitchell 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 Jeff Mitchell. Jeff Mitchell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
Mitchell, Jeff, Niall McLaughlin, & Jesús Martínez del Rincón. (2023). Generating sparse explanations for malicious Android opcode sequences using hierarchical LIME. Computers & Security. 137. 103637–103637. 4 indexed citations
2.
Mitchell, Jeff & Jeffrey S. Bowers. (2020). Priorless Recurrent Networks Learn Curiously. Bristol Research (University of Bristol). 5147–5158. 7 indexed citations
3.
Mitchell, Jeff & Jeffrey S. Bowers. (2020). Harnessing the Symmetry of Convolutions for Systematic Generalisation. Bristol Research (University of Bristol). 2. 1–8. 3 indexed citations
4.
Mitchell, Jeff, et al.. (2018). Behavior Analysis of NLI Models: Uncovering the Influence of Three Factors on Robustness. UCL Discovery (University College London). 1975–1985. 18 indexed citations
5.
Mitchell, Jeff, et al.. (2018). UCL Machine Reading Group: Four Factor Framework For Fact Finding (HexaF). 97–102. 60 indexed citations
6.
Mitchell, Jeff & Mark Steedman. (2015). Parser Adaptation to the Biomedical Domain without Re-Training. Edinburgh Research Explorer (University of Edinburgh). 79–89. 1 indexed citations
7.
Mitchell, Jeff & Mark Steedman. (2015). Orthogonality of Syntax and Semantics within Distributional Spaces. Edinburgh Research Explorer (University of Edinburgh). 1301–1310. 5 indexed citations
8.
Mitchell, Jeff. (2013). Learning Semantic Representations in a Bigram Language Model. 362–368. 1 indexed citations
9.
Mitchell, Jeff, Mirella Lapata, Vera Demberg, & Frank Keller. (2010). Syntactic and Semantic Factors in Processing Difficulty: An Integrated Measure. Edinburgh Research Explorer (University of Edinburgh). 196–206. 41 indexed citations
10.
Mitchell, Jeff & Mirella Lapata. (2010). Composition in Distributional Models of Semantics. Cognitive Science. 34(8). 1388–1429. 551 indexed citations breakdown →
11.
Mitchell, Jeff & Mirella Lapata. (2009). Language models based on semantic composition. Edinburgh Research Explorer. 1. 430–430. 55 indexed citations
12.
Mitchell, Jeff & Mirella Lapata. (2008). Vector-based Models of Semantic Composition. Edinburgh Research Explorer (University of Edinburgh). 236–244. 386 indexed citations breakdown →

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026