Maja Rudolph

46 total papers · 818 total citations
9 papers, 166 citations indexed

About

Maja Rudolph is a scholar working on Artificial Intelligence, Control and Systems Engineering and Computer Networks and Communications. According to data from OpenAlex, Maja Rudolph has authored 9 papers receiving a total of 166 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 3 papers in Control and Systems Engineering and 2 papers in Computer Networks and Communications. Recurrent topics in Maja Rudolph's work include Anomaly Detection Techniques and Applications (4 papers), Fault Detection and Control Systems (3 papers) and Topic Modeling (3 papers). Maja Rudolph is often cited by papers focused on Anomaly Detection Techniques and Applications (4 papers), Fault Detection and Control Systems (3 papers) and Topic Modeling (3 papers). Maja Rudolph collaborates with scholars based in United States, Germany and Switzerland. Maja Rudolph's co-authors include David M. Blei, Felix Hill, Hinrich Schütze, James L. McClelland, Jason Baldridge, Marius Kloft, Stephan Mandt, Chen Qiu, Stefan Kurz and Barbara Rakitsch and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Maja Rudolph

8 papers receiving 154 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Maja Rudolph	118	28	20	19	10	9	166
Mats Eeg‐Olofsson	83 0.7×	20 0.7×	8 0.4×	9 0.5×	4 0.4×	9	191
Luke Hewitt	76 0.6×	8 0.3×	20 1.0×	4 0.2×	4 0.4×	15	163
Rubén Urizar	232 2.0×	22 0.8×	5 0.3×	3 0.2×	7 0.7×	15	265
Anna Gladkova	221 1.9×	28 1.0×	7 0.3×	6 0.3×	1 0.1×	9	289
Kristina Gulordava	129 1.1×	55 2.0×	9 0.5×	12 0.6×	1 0.1×	10	158
Maria G. V. Nunes	156 1.3×	12 0.4×	8 0.4×	97 5.1×	4 0.4×	8	251
Verna Dankers	225 1.9×	9 0.3×	14 0.7×	3 0.2×	1 0.1×	14	266
Peter S. Park	64 0.5×	3 0.1×	12 0.6×	4 0.2×	9 0.9×	8	176
Sandra Kuebler	221 1.9×	7 0.3×	16 0.8×	5 0.3×	2 0.2×	11	282
Jianqiang Ma	139 1.2×	4 0.1×	45 2.3×	12 0.6×	6 0.6×	20	207

Countries citing papers authored by Maja Rudolph

Since Specialization

Citations

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

Fields of papers citing papers by Maja Rudolph

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maja Rudolph

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

All Works

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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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