Matthew Black

3.6k total citations
102 papers, 2.1k citations indexed

About

Matthew Black is a scholar working on Religious studies, Artificial Intelligence and Cognitive Neuroscience. According to data from OpenAlex, Matthew Black has authored 102 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Religious studies, 19 papers in Artificial Intelligence and 13 papers in Cognitive Neuroscience. Recurrent topics in Matthew Black's work include Biblical Studies and Interpretation (31 papers), Speech and dialogue systems (11 papers) and Historical and Linguistic Studies (10 papers). Matthew Black is often cited by papers focused on Biblical Studies and Interpretation (31 papers), Speech and dialogue systems (11 papers) and Historical and Linguistic Studies (10 papers). Matthew Black collaborates with scholars based in United States, United Kingdom and Germany. Matthew Black's co-authors include Shrikanth Narayanan, Daniel Bone, Chi-Chun Lee, Alistair J. Bath, Stephen R. Kellert, Panayiotis Georgiou, Matthew S. Goodwin, Athanasios Katsamanis, Sungbok Lee and Floyd V. Filson and has published in prestigious journals such as Physical review. B, Condensed matter, Conservation Biology and Journal of Child Psychology and Psychiatry.

In The Last Decade

Matthew Black

88 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthew Black United States 24 521 431 376 323 307 102 2.1k
R. H. Robins United Kingdom 20 158 0.3× 468 1.1× 594 1.6× 27 0.1× 65 0.2× 88 2.5k
Derek Bickerton United States 19 251 0.5× 324 0.8× 715 1.9× 37 0.1× 265 0.9× 87 2.9k
Robert Morrison United States 17 665 1.3× 285 0.7× 483 1.3× 7 0.0× 311 1.0× 82 2.0k
Julian Jaynes United States 21 922 1.8× 61 0.1× 407 1.1× 12 0.0× 750 2.4× 41 2.5k
Ben G. Blount United States 22 165 0.3× 120 0.3× 403 1.1× 5 0.0× 437 1.4× 49 2.1k
William James United States 17 608 1.2× 74 0.2× 425 1.1× 13 0.0× 731 2.4× 59 1.9k
H. Clark Barrett United States 31 1.0k 2.0× 119 0.3× 989 2.6× 10 0.0× 1.3k 4.2× 86 3.3k
Harlan Lane United States 38 2.1k 4.0× 599 1.4× 2.3k 6.2× 6 0.0× 247 0.8× 126 5.4k
Gregory A. Bryant United States 25 707 1.4× 161 0.4× 1.1k 2.9× 3 0.0× 697 2.3× 48 2.3k
E. H. Gombrich United Kingdom 21 741 1.4× 38 0.1× 528 1.4× 14 0.0× 368 1.2× 103 2.9k

Countries citing papers authored by Matthew Black

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Black

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Black

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

All Works

20 of 20 papers shown
1.
Page, Abigail E., et al.. (2025). Collecting real-time infant feeding and support experience: co-participatory pilot study of mobile health methodology. International Breastfeeding Journal. 20(1). 23–23.
2.
Black, Matthew, Robert V. Harlander, Fabian Lange, et al.. (2024). Gradient Flow Renormalisation for Meson Mixing and Lifetimes. 243–243. 2 indexed citations
3.
Black, Matthew & Oliver Witzel. (2023). B Meson Decay Constants Using Relativistic Heavy Quarks. Proceedings of The 39th International Symposium on Lattice Field Theory — PoS(LATTICE2022). 405–405. 2 indexed citations
5.
Black, Matthew, et al.. (2021). Rapid Implementation of a Reserve Reading List Solution in Response to the COVID-19 Pandemic. Information Technology and Libraries. 40(3). 1 indexed citations
6.
Vela, Marcelo Royo & Matthew Black. (2018). Drone images versus terrain images in advertisements: Images’ verticality effects and the mediating role of mental simulation on attitude towards the advertisement. Journal of Marketing Communications. 26(1). 21–39. 18 indexed citations
7.
Bone, Daniel, et al.. (2015). Acoustic-prosodic correlates of `awkward' prosody in story retellings from adolescents with autism. PubMed. 2015. 1616–1620. 25 indexed citations
8.
Bone, Daniel, Matthew S. Goodwin, Matthew Black, et al.. (2014). Applying Machine Learning to Facilitate Autism Diagnostics: Pitfalls and Promises. Journal of Autism and Developmental Disorders. 45(5). 1121–1136. 147 indexed citations
9.
Bone, Daniel, Matthew Black, Chi-Chun Lee, et al.. (2012). Spontaneous-speech acoustic-prosodic features of children with autism and the interacting psychologist. 1043–1046. 45 indexed citations
10.
Bone, Daniel, Ming Li, Matthew Black, & Shrikanth Narayanan. (2012). Intoxicated speech detection: A fusion framework with speaker-normalized hierarchical functionals and GMM supervectors. Computer Speech & Language. 28(2). 375–391. 18 indexed citations
11.
Black, Matthew, Athanasios Katsamanis, Chi-Chun Lee, et al.. (2010). Automatic classification of married couples' behavior using audio features. 2030–2033. 42 indexed citations
12.
Black, Matthew, et al.. (2009). On Paul and John: Some Selected Theological Themes. Medical Entomology and Zoology.
13.
Black, Matthew, Joseph Tepperman, Sungbok Lee, & Shrikanth Narayanan. (2009). Predicting children's reading ability using evaluator-informed features. 1895–1898. 2 indexed citations
14.
Feil-Seifer, David, Matthew Black, Maja J. Matarić, & Shrikanth Narayanan. (2009). Toward Designing Interactive Technologies for Supporting Research in Autism Spectrum Disorders. 7 indexed citations
15.
Black, Matthew, Joseph Tepperman, Sungbok Lee, Patti Price, & Shrikanth Narayanan. (2007). Automatic detection and classification of disfluent reading miscues in young children's speech for the purpose of assessment. 206–209. 30 indexed citations
16.
Nickelsburg, George W. E., Matthew Black, & James C. VanderKam. (1988). The Book of Enoch or I Enoch: A New English Edition with Commentary and Textual Notes. Journal of Biblical Literature. 107(2). 342–342. 15 indexed citations
17.
Black, Matthew, Ernest Best, & R. McL. Wilson. (1979). Text and interpretation : studies in the New Testament presented to Matthew Black. Cambridge University Press eBooks. 16 indexed citations
18.
Black, Matthew. (1978). A Christian Palestinian Syriac horologion (Berlin MS. Or. Oct. 1019). Kraus Reprint eBooks.
19.
Black, Matthew, et al.. (1970). Apocalypsis Henochi graece . Fragmenta pseudepigraphorum quae supersunt graeca : una cum historicorum et auctorum Judaeorum Hellenistarum fragmentis. E.J. Brill eBooks. 3 indexed citations
20.
Black, Matthew. (1959). Thomas Walter Manson, 1893-1958. 2(3). 157–159. 1 indexed citations

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