Joshua Guberman

844 total citations
10 papers, 462 citations indexed

About

Joshua Guberman is a scholar working on Artificial Intelligence, Communication and Sociology and Political Science. According to data from OpenAlex, Joshua Guberman has authored 10 papers receiving a total of 462 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Communication and 3 papers in Sociology and Political Science. Recurrent topics in Joshua Guberman's work include Hate Speech and Cyberbullying Detection (4 papers), Social Media and Politics (3 papers) and Autism Spectrum Disorder Research (3 papers). Joshua Guberman is often cited by papers focused on Hate Speech and Cyberbullying Detection (4 papers), Social Media and Politics (3 papers) and Autism Spectrum Disorder Research (3 papers). Joshua Guberman collaborates with scholars based in United States, Mexico and Canada. Joshua Guberman's co-authors include Morris Kline, Libby Hemphill, Aron Culotta, Ping Liu, Oliver L. Haimson, Meryl Alper, Ellen Simpson and Daniel Delmonaco and has published in prestigious journals such as New Media & Society, ACM Transactions on Computer-Human Interaction and Leonardo.

In The Last Decade

Joshua Guberman

10 papers receiving 339 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Joshua Guberman United States	7	112	85	78	54	52	10	462
Brian Rotman United Kingdom	9	68 0.6×	30 0.4×	87 1.1×	34 0.6×	39 0.8×	25	432
John R. Steel United States	21	160 1.4×	84 1.0×	55 0.7×	28 0.5×	60 1.2×	84	1.4k
Marcia Ascher United States	13	259 2.3×	39 0.5×	58 0.7×	44 0.8×	26 0.5×	40	628
Elena Anne Marchisotto United States	7	249 2.2×	21 0.2×	27 0.3×	50 0.9×	36 0.7×	21	470
Chris Mortensen Australia	16	47 0.4×	192 2.3×	88 1.1×	36 0.7×	70 1.3×	62	756
Élie Zahar United Kingdom	12	214 1.9×	61 0.7×	70 0.9×	54 1.0×	270 5.2×	24	802
Peter Damerow Germany	14	56 0.5×	15 0.2×	39 0.5×	19 0.4×	91 1.8×	61	525
Rolando García Mexico	7	231 2.1×	15 0.2×	67 0.9×	122 2.3×	23 0.4×	13	456
Laura Macchi Italy	12	33 0.3×	133 1.6×	77 1.0×	98 1.8×	38 0.7×	37	567
Margarita R. Levin United States	3	307 2.7×	111 1.3×	46 0.6×	68 1.3×	114 2.2×	7	770

Countries citing papers authored by Joshua Guberman

Since Specialization

Citations

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

Fields of papers citing papers by Joshua Guberman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joshua Guberman

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

All Works

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10 of 10 papers shown

1.

Delmonaco, Daniel, et al.. (2024). "What are you doing, TikTok?" : How Marginalized Social Media Users Perceive, Theorize, and "Prove" Shadowbanning. Proceedings of the ACM on Human-Computer Interaction. 8(CSCW1). 1–39. 19 indexed citations

2.

Alper, Meryl, et al.. (2023). “HERE TO HAVE FUN AND FIGHT ABLEISM”: #AUTISKTOK USER BIOS AS NEUROQUEER MICRO-ACTIVIST PLATFORM AFFORDANCES. AoIR Selected Papers of Internet Research. 1 indexed citations

3.

Guberman, Joshua & Oliver L. Haimson. (2023). Not robots; Cyborgs — Furthering anti-ableist research in human-computer interaction. First Monday. 4 indexed citations

4.

Alper, Meryl, et al.. (2023). TikTok as algorithmically mediated biographical illumination: Autism, self-discovery, and platformed diagnosis on #autisktok. New Media & Society. 27(3). 1378–1396. 20 indexed citations

5.

Guberman, Joshua. (2022). #ActuallyAutistic Twitter as a Site for Epistemic Resistance and Crip Futurity. ACM Transactions on Computer-Human Interaction. 30(3). 1–34. 16 indexed citations

6.

Liu, Ping, Joshua Guberman, Libby Hemphill, & Aron Culotta. (2018). Forecasting the Presence and Intensity of Hostility on Instagram Using Linguistic and Social Features. Proceedings of the International AAAI Conference on Web and Social Media. 12(1). 32 indexed citations

7.

Guberman, Joshua & Libby Hemphill. (2017). Challenges in Modifying Existing Scales for Detecting Harassment in Individual Tweets. Proceedings of the ... Annual Hawaii International Conference on System Sciences. 13 indexed citations

8.

Guberman, Joshua, et al.. (2017). Comparing Formal and Informal NPOs' Use of Facebook and Twitter. 287–290. 1 indexed citations

9.

Guberman, Joshua, et al.. (2016). Quantifying Toxicity and Verbal Violence on Twitter. 277–280. 30 indexed citations

10.

Guberman, Joshua & Morris Kline. (1983). Mathematics: The Loss of Certainty. Leonardo. 16(4). 328–328. 326 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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