Martin Saveski

725 total citations
14 papers, 246 citations indexed

About

Martin Saveski is a scholar working on Statistical and Nonlinear Physics, Communication and Artificial Intelligence. According to data from OpenAlex, Martin Saveski has authored 14 papers receiving a total of 246 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Statistical and Nonlinear Physics, 5 papers in Communication and 4 papers in Artificial Intelligence. Recurrent topics in Martin Saveski's work include Opinion Dynamics and Social Influence (6 papers), Social Media and Politics (5 papers) and Complex Network Analysis Techniques (4 papers). Martin Saveski is often cited by papers focused on Opinion Dynamics and Social Influence (6 papers), Social Media and Politics (5 papers) and Complex Network Analysis Techniques (4 papers). Martin Saveski collaborates with scholars based in United States, Germany and United Kingdom. Martin Saveski's co-authors include Amin Mantrach, David Alvarez-Melis, Deb Roy, Ya Xu, Jean Pouget-Abadie, Edoardo M. Airoldi, Manuel Cebrián, Prashanth Vijayaraghavan, Edmond Awad and Iyad Rahwan and has published in prestigious journals such as Scientific Reports, Computers & Education and Pattern Recognition Letters.

In The Last Decade

Martin Saveski

14 papers receiving 234 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Martin Saveski United States	7	124	102	44	40	34	14	246
Anmol Bhasin United States	6	112 0.9×	89 0.9×	47 1.1×	20 0.5×	33 1.0×	17	270
Mikołaj Morzy Poland	9	73 0.6×	91 0.9×	24 0.5×	75 1.9×	42 1.2×	40	252
Chonggang Song China	7	259 2.1×	234 2.3×	107 2.4×	32 0.8×	100 2.9×	12	408
Hande Dong China	3	271 2.2×	251 2.5×	102 2.3×	22 0.6×	28 0.8×	4	404
James Blustein Canada	11	127 1.0×	160 1.6×	22 0.5×	71 1.8×	13 0.4×	39	329
Steve Fox United States	5	322 2.6×	112 1.1×	39 0.9×	48 1.2×	24 0.7×	9	456
Mónica Marrero Spain	8	104 0.8×	241 2.4×	48 1.1×	26 0.7×	8 0.2×	23	346
Johann Petrak United Kingdom	8	92 0.7×	311 3.0×	28 0.6×	67 1.7×	23 0.7×	15	395

Countries citing papers authored by Martin Saveski

Since Specialization

Citations

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

Fields of papers citing papers by Martin Saveski

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Saveski

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Saveski. A scholar is included among the top collaborators of Martin Saveski 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 Martin Saveski. Martin Saveski 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

Bernstein, Michael S., Angèle Christin, Jeffrey T. Hancock, et al.. (2023). Embedding Societal Values into Social Media Algorithms. 2(1). 11 indexed citations

Ballinger, Sarah, et al.. (2022). Technology-assisted coaching can increase engagement with learning technology at home and caregivers’ awareness of it. Computers & Education. 188. 104565–104565. 3 indexed citations

Saveski, Martin, Doug Beeferman, David L. McClure, & Deb Roy. (2022). Engaging Politically Diverse Audiences on Social Media. Proceedings of the International AAAI Conference on Web and Social Media. 16. 873–884. 4 indexed citations

Saveski, Martin, Nabeel Gillani, Ann Yuan, Prashanth Vijayaraghavan, & Deb Roy. (2022). Perspective-Taking to Reduce Affective Polarization on Social Media. Proceedings of the International AAAI Conference on Web and Social Media. 16. 885–895. 12 indexed citations

Saveski, Martin, Edmond Awad, Iyad Rahwan, & Manuel Cebrián. (2021). Algorithmic and human prediction of success in human collaboration from visual features. Scientific Reports. 11(1). 2756–2756. 6 indexed citations

Saveski, Martin, et al.. (2021). Balanced Influence Maximization in the Presence of Homophily. 175–183. 9 indexed citations

Alvarez-Melis, David & Martin Saveski. (2021). Topic Modeling in Twitter: Aggregating Tweets by Conversations. Proceedings of the International AAAI Conference on Web and Social Media. 10(1). 519–522. 34 indexed citations

Saveski, Martin, et al.. (2021). Social Catalysts: Characterizing People Who Spark Conversations Among Others. Proceedings of the ACM on Human-Computer Interaction. 5(CSCW2). 1–20. 4 indexed citations

Saveski, Martin, et al.. (2021). Tracking the Yak: An Empirical Study of Yik Yak. Proceedings of the International AAAI Conference on Web and Social Media. 10(1). 671–674. 1 indexed citations

10.

Qi, Jie, et al.. (2018). Light it up. 365–372. 7 indexed citations

11.

Saveski, Martin, et al.. (2017). Detecting Network Effects. 1027–1035. 33 indexed citations

12.

Saveski, Martin, et al.. (2015). One-Pass Ranking Models for Low-Latency Product Recommendations. 1789–1798. 4 indexed citations

13.

Saveski, Martin & Amin Mantrach. (2014). Item cold-start recommendations. 89–96. 115 indexed citations

14.

Saveski, Martin, et al.. (2013). Joint semi-supervised learning of Hidden Conditional Random Fields and Hidden Markov Models. Pattern Recognition Letters. 37. 161–171. 3 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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