Henry Shevlin

1.1k total citations
14 papers, 165 citations indexed

About

Henry Shevlin is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Social Psychology. According to data from OpenAlex, Henry Shevlin has authored 14 papers receiving a total of 165 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cognitive Neuroscience, 4 papers in Experimental and Cognitive Psychology and 3 papers in Social Psychology. Recurrent topics in Henry Shevlin's work include Psychology of Moral and Emotional Judgment (3 papers), Neuroscience, Education and Cognitive Function (2 papers) and Neuroethics, Human Enhancement, Biomedical Innovations (2 papers). Henry Shevlin is often cited by papers focused on Psychology of Moral and Emotional Judgment (3 papers), Neuroscience, Education and Cognitive Function (2 papers) and Neuroethics, Human Enhancement, Biomedical Innovations (2 papers). Henry Shevlin collaborates with scholars based in United Kingdom and Canada. Henry Shevlin's co-authors include Marta Halina, Matthew Crosby, Karina Vold, Phoebe Friesen and Paul Richard Blum and has published in prestigious journals such as EMBO Reports, Nature Machine Intelligence and Current Opinion in Behavioral Sciences.

In The Last Decade

Henry Shevlin

13 papers receiving 156 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Henry Shevlin United Kingdom	7	89	33	30	30	21	14	165
Manuel Rausch Germany	9	217 2.4×	14 0.4×	35 1.2×	11 0.4×	41 2.0×	15	278
Jasmin Bernotat Germany	6	35 0.4×	40 1.2×	125 4.2×	66 2.2×	26 1.2×	10	170
Karen Salvador United States	10	67 0.8×	16 0.5×	42 1.4×	6 0.2×	12 0.6×	33	237
Clara Colombatto United States	6	87 1.0×	7 0.2×	32 1.1×	12 0.4×	36 1.7×	18	121
Beth Baribault United States	6	72 0.8×	5 0.2×	23 0.8×	31 1.0×	50 2.4×	7	207
Florian Sense Netherlands	7	84 0.9×	4 0.1×	27 0.9×	69 2.3×	28 1.3×	31	198
Moira Rose Dillon United States	9	70 0.8×	10 0.3×	17 0.6×	20 0.7×	29 1.4×	20	241
Jean-François Lecas France	5	81 0.9×	14 0.4×	12 0.4×	101 3.4×	66 3.1×	7	308
Lisa Miracchi United States	6	65 0.7×	4 0.1×	15 0.5×	27 0.9×	75 3.6×	13	160
Ekaterina Vylomova Australia	9	14 0.2×	4 0.1×	55 1.8×	157 5.2×	18 0.9×	28	249

Countries citing papers authored by Henry Shevlin

Since Specialization

Citations

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

Fields of papers citing papers by Henry Shevlin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Henry Shevlin

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

All Works

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14 of 14 papers shown

1.

Shevlin, Henry. (2024). All too human? Identifying and mitigating ethical risks of Social AI. 9 indexed citations

2.

Shevlin, Henry. (2021). How Could We Know When a Robot was a Moral Patient?. Cambridge Quarterly of Healthcare Ethics. 30(3). 459–471. 21 indexed citations

3.

Shevlin, Henry. (2021). Non‐human consciousness and the specificity problem: A modest theoretical proposal. Mind & Language. 36(2). 297–314. 29 indexed citations

4.

Shevlin, Henry & Phoebe Friesen. (2020). Pain, placebo, and cognitive penetration. Mind & Language. 36(5). 771–791. 8 indexed citations

5.

Shevlin, Henry. (2020). Which Animals Matter?. Philosophical Topics. 48(1). 177–200. 4 indexed citations

6.

Shevlin, Henry. (2020). General Intelligence: An Ecumenical Heuristic for Artificial Consciousness Research?. Apollo (University of Cambridge). 7(2). 245–256. 4 indexed citations

7.

Shevlin, Henry. (2020). Current controversies in the cognitive science of short-term memory. Current Opinion in Behavioral Sciences. 32. 148–154. 10 indexed citations

8.

Shevlin, Henry. (2020). Rethinking creative intelligence: comparative psychology and the concept of creativity. European Journal for Philosophy of Science. 11(1). 6 indexed citations

9.

Shevlin, Henry & Marta Halina. (2019). Apply rich psychological terms in AI with care. Nature Machine Intelligence. 1(4). 165–167. 29 indexed citations

10.

Blum, Paul Richard, et al.. (2019). Introduction to Philosophy of Mind.

11.

Shevlin, Henry, Karina Vold, Matthew Crosby, & Marta Halina. (2019). The limits of machine intelligence. EMBO Reports. 20(10). e49177–e49177. 36 indexed citations

12.

Blum, Paul Richard, et al.. (2019). Introduction to Philosophy: Philosophy of Mind. 2 indexed citations

13.

Shevlin, Henry. (2017). Conceptual Short-Term Memory: A Missing Part of the Mind?. Journal of Consciousness Studies. 24. 5 indexed citations

14.

Shevlin, Henry. (2016). Consciousness, perception, and short-term memory. CUNY Academic Works (City University of New York). 2 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.

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