Alexander Gray

555 total citations
8 papers, 326 citations indexed

About

Alexander Gray is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Instrumentation. According to data from OpenAlex, Alexander Gray has authored 8 papers receiving a total of 326 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 1 paper in Computer Vision and Pattern Recognition and 1 paper in Instrumentation. Recurrent topics in Alexander Gray's work include Natural Language Processing Techniques (3 papers), Topic Modeling (3 papers) and Statistical and numerical algorithms (1 paper). Alexander Gray is often cited by papers focused on Natural Language Processing Techniques (3 papers), Topic Modeling (3 papers) and Statistical and numerical algorithms (1 paper). Alexander Gray collaborates with scholars based in . Alexander Gray's co-authors include Željko Ivezić, Andrew J. Connolly, Jake Vanderplas, Ryan Riegel, Prithviraj Sen, Michiaki Tatsubori, L. Venkata Subramaniam, Asim Munawar, Dinesh Khandelwal and Dinesh Garg and has published in prestigious journals such as The Economic Journal, Princeton University Press eBooks and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Alexander Gray

6 papers receiving 320 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Alexander Gray	4	249	88	38	34	19	8	326
C. Arviset Spain	6	257 1.0×	78 0.9×	38 1.0×	13 0.4×	31 1.6×	30	299
K. Barbary United States	9	320 1.3×	127 1.4×	47 1.2×	25 0.7×	22 1.2×	19	430
Didier Fraix‐Burnet France	12	204 0.8×	71 0.8×	63 1.7×	22 0.6×	14 0.7×	35	308
Michelle Lochner South Africa	11	241 1.0×	56 0.6×	79 2.1×	50 1.5×	38 2.0×	21	336
H. J. Dickinson United Kingdom	8	147 0.6×	55 0.6×	32 0.8×	32 0.9×	23 1.2×	28	244
D. Starr United States	7	394 1.6×	116 1.3×	53 1.4×	22 0.6×	50 2.6×	15	451
Miles Cranmer United States	12	209 0.8×	44 0.5×	55 1.4×	111 3.3×	14 0.7×	23	363
K. W. Smith United Kingdom	13	562 2.3×	85 1.0×	20 0.5×	47 1.4×	25 1.3×	42	607
A. Lauberts Sweden	5	477 1.9×	226 2.6×	43 1.1×	17 0.5×	31 1.6×	14	541
Arien Crellin-Quick United States	4	145 0.6×	54 0.6×	23 0.6×	22 0.6×	46 2.4×	4	203

Countries citing papers authored by Alexander Gray

Since Specialization

Citations

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

Fields of papers citing papers by Alexander Gray

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexander Gray

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Sen, Prithviraj, Michiaki Tatsubori, Achille Fokoue, et al.. (2023). Learning Symbolic Rules over Abstract Meaning Representations for Textual Reinforcement Learning. 6764–6776. 3 indexed citations

2.

Tatsubori, Michiaki, et al.. (2023). Learning Neuro-Symbolic World Models with Conversational Proprioception. 648–656.

3.

Sen, Prithviraj, et al.. (2022). Neuro-Symbolic Inductive Logic Programming with Logical Neural Networks. Proceedings of the AAAI Conference on Artificial Intelligence. 36(8). 8212–8219. 19 indexed citations

4.

Khandelwal, Dinesh, Dinesh Garg, Pavan Kapanipathi, et al.. (2022). Zero-shot Entity Linking with Less Data. 1681–1697. 1 indexed citations

5.

Gray, Alexander, et al.. (2018). Analysis of Alternative Recovery Systems for the RQ-21A Blackjack. Calhoun: The Naval Postgraduate School Institutional Archive (Naval Postgraduate School). 2 indexed citations

6.

Ivezić, Željko, Andrew J. Connolly, Jake Vanderplas, & Alexander Gray. (2014). Statistics, Data Mining, and Machine Learning in Astronomy. Princeton University Press eBooks. 205 indexed citations

7.

Gray, Alexander, Željko Ivezić, Andrew J. Connolly, & Jake Vanderplas. (2014). Statistics, Data Mining, and Machine Learning in Astronomy. Princeton University Press eBooks. 96 indexed citations

8.

Gray, Alexander, et al.. (1952). Geschiedenis van het Economisch Denken.. The Economic Journal. 62(245). 144–144.

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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