David Schoch

2.0k total citations · 1 hit paper
24 papers, 1.1k citations indexed

About

David Schoch is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence and Communication. According to data from OpenAlex, David Schoch has authored 24 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Statistical and Nonlinear Physics, 5 papers in Artificial Intelligence and 4 papers in Communication. Recurrent topics in David Schoch's work include Complex Network Analysis Techniques (12 papers), Opinion Dynamics and Social Influence (5 papers) and Social Media and Politics (4 papers). David Schoch is often cited by papers focused on Complex Network Analysis Techniques (12 papers), Opinion Dynamics and Social Influence (5 papers) and Social Media and Politics (4 papers). David Schoch collaborates with scholars based in Germany, Switzerland and United Kingdom. David Schoch's co-authors include Timon Elmer, Laura F. Bringmann, Robert W. Krause, Marieke Wichers, Evelien Snippe, Sacha Epskamp, Johanna T. W. Wigman, Sebastian Stier, Franziska Keller and JungHwan Yang and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

David Schoch

24 papers receiving 1.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

What do centrality measures measure in psychological networks?

2019 716 citations Laura F. Bringmann, Timon Elmer et al. Journal of Abnormal Psychology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David Schoch Germany	7	656	327	253	210	173	24	1.1k
Robert W. Krause Netherlands	8	648 1.0×	328 1.0×	76 0.3×	218 1.0×	77 0.4×	13	916
Anna Wysocki United States	6	735 1.1×	340 1.0×	119 0.5×	235 1.1×	74 0.4×	8	980
Riet van Bork Netherlands	13	1.6k 2.4×	713 2.2×	177 0.7×	535 2.5×	135 0.8×	24	2.0k
Cynthia S. Q. Siew Singapore	19	349 0.5×	393 1.2×	59 0.2×	141 0.7×	170 1.0×	45	919
Markus I. Eronen Netherlands	13	528 0.8×	289 0.9×	122 0.5×	137 0.7×	26 0.2×	34	997
Oisín Ryan Netherlands	13	460 0.7×	212 0.6×	103 0.4×	196 0.9×	38 0.2×	20	1.1k
Glen Coppersmith United States	18	530 0.8×	81 0.2×	421 1.7×	487 2.3×	205 1.2×	35	2.7k
Patrick Crutchley United States	10	253 0.4×	75 0.2×	182 0.7×	202 1.0×	24 0.1×	15	1.1k
Egon Dejonckheere Belgium	18	805 1.2×	187 0.6×	69 0.3×	359 1.7×	27 0.2×	36	1.1k
Teague R. Henry United States	14	258 0.4×	248 0.8×	54 0.2×	85 0.4×	41 0.2×	30	642

Countries citing papers authored by David Schoch

Since Specialization

Citations

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

Fields of papers citing papers by David Schoch

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Schoch

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

All Works

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20 of 20 papers shown

Schoch, David, Chung‐hong Chan, Claudia Wagner, & Arnim Bleier. (2024). Computational reproducibility in computational social science. EPJ Data Science. 13(1). 1 indexed citations

Schoch, David, et al.. (2024). Penalty shoot-outs are tough, but the alternating order is fair. PLoS ONE. 19(12). e0315017–e0315017. 2 indexed citations

Mangold, Frank, David Schoch, & Sebastian Stier. (2024). Ideological self-selection in online news exposure: Evidence from Europe and the US. Science Advances. 10(37). eadg9287–eadg9287. 2 indexed citations

Schoch, David. (2023). signnet: An R package for analyzing signednetworks. The Journal of Open Source Software. 8(81). 4987–4987. 4 indexed citations

Schoch, David. (2023). graphlayouts: Layout algorithms for networkvisualizations in R. The Journal of Open Source Software. 8(84). 5238–5238. 3 indexed citations

Schoch, David, et al.. (2023). A Process Perspective On Purpose: A Systematic Literature Review On Purpose-Driven Transformation. Academy of Management Proceedings. 2023(1). 1 indexed citations

Schoch, David, et al.. (2023). The interplay of structural features and observed dissimilarities among centrality indices. Social Networks. 78. 54–64. 1 indexed citations

Schoch, David, Franziska Keller, Sebastian Stier, & JungHwan Yang. (2022). Coordination patterns reveal online political astroturfing across the world. Scientific Reports. 12(1). 20 indexed citations

Schoch, David. (2022). netrankr: An R package for total, partial, andprobabilistic rankings in networks. The Journal of Open Source Software. 7(77). 4563–4563. 1 indexed citations

10.

Schoch, David, et al.. (2021). Multiplexity analysis of networks using multigraph representations. Statistical Methods & Applications. 30(5). 1425–1444. 2 indexed citations

11.

Schoch, David & Ulrik Brandes. (2020). Legislators’ roll-call voting behavior increasingly corresponds to intervals in the political spectrum. Scientific Reports. 10(1). 17369–17369. 5 indexed citations

12.

Schoch, David, et al.. (2020). A Study on Effects of the Press Speed on Sheared Edge Formability. IOP Conference Series Materials Science and Engineering. 967(1). 12064–12064. 4 indexed citations

13.

Schoch, David. (2020). Projecting signed two-mode networks. Journal of Mathematical Sociology. 45(1). 37–50. 5 indexed citations

14.

Bringmann, Laura F., Timon Elmer, Sacha Epskamp, et al.. (2019). What do centrality measures measure in psychological networks?. Journal of Abnormal Psychology. 128(8). 892–903. 716 indexed citations breakdown →

15.

Keller, Franziska, David Schoch, Sebastian Stier, & JungHwan Yang. (2019). Political Astroturfing on Twitter: How to Coordinate a Disinformation Campaign. Political Communication. 37(2). 256–280. 197 indexed citations

16.

Schoch, David. (2018). Centrality without indices: Partial rankings and rank probabilities in networks. Social Networks. 54. 50–60. 13 indexed citations

17.

Keller, Franziska, David Schoch, Sebastian Stier, & JungHwan Yang. (2017). How to Manipulate Social Media: Analyzing Political Astroturfing Using Ground Truth Data from South Korea. Proceedings of the International AAAI Conference on Web and Social Media. 11(1). 564–567. 34 indexed citations

18.

Schoch, David, et al.. (2017). Biases in the Football Betting Market. SSRN Electronic Journal. 1 indexed citations

19.

Schoch, David & Ulrik Brandes. (2016). Re-conceptualizing centrality in social networks. European Journal of Applied Mathematics. 27(6). 971–985. 34 indexed citations

20.

Schoch, David & Ulrik Brandes. (2015). Stars, neighborhood inclusion and network centrality. Research Explorer (The University of Manchester). 4 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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